diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000..046ef2c Binary files /dev/null and b/.DS_Store differ diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..0cafc1c --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +.venv/ \ No newline at end of file diff --git a/BRScraper/nba.py b/BRScraper/nba.py index 0502d7a..4621ce7 100644 --- a/BRScraper/nba.py +++ b/BRScraper/nba.py @@ -1,6 +1,8 @@ import pandas as pd import warnings import re +import requests +from bs4 import BeautifulSoup from datetime import date dict_teams = {'Utah Jazz':'UTA','Phoenix Suns':'PHO', @@ -61,28 +63,90 @@ def get_stats(season, info='per_game', playoffs=False, rename=False): else: comp = 'leagues' - url_stats = ['https://www.basketball-reference.com/'+comp+'/NBA_'+str(season)+'_per_game.html', # pergame - 'https://www.basketball-reference.com/'+comp+'/NBA_'+str(season)+'_totals.html', # total - 'https://www.basketball-reference.com/'+comp+'/NBA_'+str(season)+'_advanced.html', # advanced - 'https://www.basketball-reference.com/'+comp+'/NBA_'+str(season)+'_per_minute.html', # per 36 min - 'https://www.basketball-reference.com/'+comp+'/NBA_'+str(season)+'_per_poss.html', # per 100 poss - ] + # Construct URLs for different statistic types + url_stats = { + 'per_game': f'https://www.basketball-reference.com/{comp}/NBA_{season}_per_game.html', + 'totals': f'https://www.basketball-reference.com/{comp}/NBA_{season}_totals.html', + 'advanced': f'https://www.basketball-reference.com/{comp}/NBA_{season}_advanced.html', + 'per_36': f'https://www.basketball-reference.com/{comp}/NBA_{season}_per_minute.html', + 'per_100': f'https://www.basketball-reference.com/{comp}/NBA_{season}_per_poss.html', + } + try: - if info=='per_game': - df = pd.read_html(url_stats[0])[0] - elif info=='totals': - df = pd.read_html(url_stats[1])[0] - elif info=='advanced': - df = pd.read_html(url_stats[2])[0] - df = df.drop(['Unnamed: 24','Unnamed: 19'], axis=1).reset_index(drop=True) - elif info=='per_36': - df = pd.read_html(url_stats[3])[0] - elif info=='per_100': - df = pd.read_html(url_stats[4])[0] - except: - raise ValueError(str(season)+' is not a valid season.') - - df = df[(df['Player'].notna())&(df['Player']!='Player')].drop(['Rk'], axis=1).reset_index(drop=True) + # Select the appropriate URL based on the 'info' parameter + url = url_stats[info] + + # Fetch the HTML content of the page + response = requests.get(url) + response.raise_for_status() # Raise an error for bad status codes + + # Parse the HTML content using BeautifulSoup + soup = BeautifulSoup(response.content, 'html.parser') + + # Locate the table containing the statistics + table = soup.find('table') + if table is None: + raise ValueError(f"No table found on the page for season {season} and info '{info}'.") + + tbody = table.find('tbody') + if tbody is None: + raise ValueError(f"No table body found on the page for season {season} and info '{info}'.") + + # Extract all table rows + rows = tbody.find_all('tr') + + # Initialize a list to store player_ids + player_ids = [] + + # Iterate over each row to extract the 'player_id' + + for row in rows: + # Find the element with 'data-stat' attribute 'name_display' + player_td = row.find('td', {'data-stat': 'name_display'}) + if not player_td: + player_td = row.find('td', {'data-stat': 'player'}) + + if player_td: + # Extract the player's name text + player_name = player_td.get_text(strip=True) + + player_id = player_td.get('data-append-csv', None) + # print(player_id) + if player_id: + player_ids.append(player_id) + # else: + # print(row) + + # Use pandas to read the table into a DataFrame + from io import StringIO + df = pd.read_html(StringIO(response.text))[0] + + # Filter the DataFrame to exclude rows where 'Player' is NaN, 'Player', or 'League Average' + df = df[(df['Player'].notna()) & + (df['Player'] != 'Player') & + (df['Player'] != 'League Average')].reset_index(drop=True) + + # Remove the original 'Rk' column + if 'Rk' in df.columns: + df = df.drop(['Rk'], axis=1) + + df = df.drop(['Player'], axis=1) + df = df.drop(['Age'], axis=1) + df = df.drop(['FG%'], axis=1) + df = df.drop(['2P%'], axis=1) + df = df.drop(['3P%'], axis=1) + df = df.drop(['eFG%'], axis=1) + df = df.drop(['FT%'], axis=1) + + # remove player_ids + # Insert the 'player_id' column as the first column + # print(player_ids) + df.insert(0, 'player_id', player_ids) + + except requests.HTTPError as http_err: + raise ValueError(f"HTTP error occurred: {http_err}") + except Exception as e: + raise ValueError(f"An error occurred while fetching data for season {season}: {e}") if rename: cols = ['Player','Pos','Age','Tm','G','GS'] @@ -337,7 +401,40 @@ def get_player_stats(name): Valid names would be "LeBron James", "lebron james" or "LEBRON JAMES" for example.''') try: - df = pd.read_html(url)[0] + # Fetch the page content + response = requests.get(url) + if response.status_code != 200: + raise ValueError( + name + + " is not a valid name. Check for misspelling errors or if that player exists." + ) + html = response.text + + # Parse with BeautifulSoup + soup = BeautifulSoup(html, "html.parser") + + # Find the span with id='totals_link' and data-label='Totals' + totals_span = soup.find( + "span", attrs={"id": "totals_link", "data-label": "Totals"} + ) + + if totals_span is None: + raise ValueError("Totals data-label not found for " + name) + + # Now, find the parent div with id='div_totals' + parent_div = soup.find("div", id="div_totals") + + if parent_div is None: + raise ValueError("Totals table container not found for " + name) + + # Now, find the table within this div + table = parent_div.find("table") + + if table is None: + raise ValueError("Totals table not found for " + name) + + # Read the table into pandas DataFrame + df = pd.read_html(str(table))[0] except: raise ValueError(name+' is not a valid name. Check for mispelling errors or if that players exists.') @@ -405,7 +502,7 @@ def get_birthdays(): month = today.month day = today.day - url = 'https://www.basketball-reference.com/friv/birthdays.fcgi?month='+str(day)+'&day='+str(month) + url = 'https://www.basketball-reference.com/friv/birthdays.fcgi?month='+str(month)+'&day='+str(day) try: df = pd.read_html(url)[0] diff --git a/__pycache__/nba_teams.cpython-312.pyc b/__pycache__/nba_teams.cpython-312.pyc new file mode 100644 index 0000000..17d8d0a Binary files /dev/null and b/__pycache__/nba_teams.cpython-312.pyc differ diff --git a/__pycache__/test_nba_teams.cpython-312.pyc b/__pycache__/test_nba_teams.cpython-312.pyc new file mode 100644 index 0000000..70ba910 Binary files /dev/null and b/__pycache__/test_nba_teams.cpython-312.pyc differ diff --git a/collect_season_player_stats.py b/collect_season_player_stats.py new file mode 100644 index 0000000..901ee89 --- /dev/null +++ b/collect_season_player_stats.py @@ -0,0 +1,290 @@ +from enum import Enum, auto +import pandas as pd +from BRScraper import nba +import logging +from typing import Optional +from datetime import datetime +import sys +import traceback + + +class SeasonType(Enum): + """Enum for different types of NBA seasons""" + REGULAR = auto() + PLAYOFF = auto() + + def __str__(self) -> str: + return self.name.lower() + + @property + def display_name(self) -> str: + return "regular season" if self == SeasonType.REGULAR else "playoff" + + +def setup_logging(log_level: int = logging.DEBUG, logs_dir: str = "logs") -> str: + """ + Set up logging configuration with both file and console handlers. + + Args: + log_level (int): Logging level to use (default: logging.DEBUG) + logs_dir (str): Directory to store log files (default: "logs") + + Returns: + str: Path to the created log file + """ + import os + + # Create logs directory if it doesn't exist + try: + os.makedirs(logs_dir, exist_ok=True) + logging.debug(f"Ensured logs directory exists: {logs_dir}") + except Exception as e: + print(f"Error creating logs directory {logs_dir}: {str(e)}") + logs_dir = "." # Fallback to current directory + + # Create log filename with timestamp + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + log_filename = f'nba_stats_scraper_{timestamp}.log' + log_filepath = os.path.join(logs_dir, log_filename) + + # Create formatters for different levels of detail + detailed_formatter = logging.Formatter( + '%(asctime)s - %(levelname)s - [%(filename)s:%(lineno)d] - %(message)s' + ) + simple_formatter = logging.Formatter( + '%(asctime)s - %(levelname)s - %(message)s' + ) + + try: + # File handler with detailed formatting + file_handler = logging.FileHandler(log_filepath) + file_handler.setLevel(logging.DEBUG) + file_handler.setFormatter(detailed_formatter) + + # Console handler with simpler formatting + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setLevel(logging.INFO) + console_handler.setFormatter(simple_formatter) + + # Root logger configuration + logging.root.setLevel(log_level) + logging.root.handlers = [] # Clear any existing handlers + logging.root.addHandler(file_handler) + logging.root.addHandler(console_handler) + + logging.debug(f"Logging initialized. Log file: {log_filepath}") + return log_filepath + + except Exception as e: + print(f"Error setting up logging: {str(e)}") + raise + + +def get_single_season_stats(year: int, season_type: SeasonType) -> Optional[pd.DataFrame]: + """ + Fetch stats for a single season. + + Args: + year (int): The NBA season year + season_type (SeasonType): Type of season stats to fetch + + Returns: + Optional[pd.DataFrame]: DataFrame containing the stats, or None if failed + """ + try: + logging.info(f"Fetching {season_type.display_name} stats for {year}") + logging.debug(f"Making API call with parameters: year={ + year}, playoffs={season_type == SeasonType.PLAYOFF}") + + df = nba.get_stats( + season=year, + info='totals', + playoffs=(season_type == SeasonType.PLAYOFF), + rename=False + ) + + if df is None or df.empty: + logging.warning(f"No data returned for {year} { + season_type.display_name}") + return None + + logging.debug(f"Data shape before adding columns: {df.shape}") + + # Remove 'Awards' column -- can get collect info later (and/or in different manor) + name_of_col_to_remove = 'Awards' + if name_of_col_to_remove in df.columns: + df.drop(name_of_col_to_remove, axis=1, inplace=True) + elif season_type == SeasonType.REGULAR: + logging.error(f"Error: no 'Awards' column for {year} { + season_type.display_name} stats.") + + name_of_col_to_remove = 'Season' + if name_of_col_to_remove in df.columns: + df.drop(name_of_col_to_remove, axis=1, inplace=True) + + # Ignore cummulative rows for multiple teams + if 'Team' in df.columns: + df = df[~df['Team'].str.endswith('TM', na=False)] # Filter out rows where 'Team' ends with 'TM' + + # Add year column for reference + df['season_year'] = year + df['season_type'] = str(season_type) + + logging.info(f"Successfully fetched {len(df)} records for { + year} {season_type.display_name}") + logging.debug(f"Final data shape: {df.shape}, columns: { + df.columns.tolist()}") + return df + + except Exception as e: + logging.error(f"Error fetching { + season_type.display_name} stats for {year}") + logging.error(f"Exception details: {str(e)}") + logging.debug(f"Traceback: {traceback.format_exc()}") + return None + + +def get_stats_for_years( + first_year: int, + last_year: int, + season_type: SeasonType +) -> pd.DataFrame: + """ + Fetch stats for multiple seasons. + + Args: + first_year (int): Starting year + last_year (int): Ending year + season_type (SeasonType): Type of season stats to fetch + + Returns: + pd.DataFrame: Combined stats for all seasons + """ + season_dfs = [] + + logging.info(f"Starting collection of {season_type.display_name} stats from { + first_year} to {last_year}") + + for year in range(first_year, last_year + 1): + df = get_single_season_stats(year, season_type) + if df is not None and not df.empty: + logging.debug(f"Adding DataFrame for { + year} to collection. Shape: {df.shape}") + season_dfs.append(df) + else: + logging.warning(f"Skipping {year} due to empty or None DataFrame") + + # Combine all DataFrames + if not season_dfs: + logging.warning(f"No data was collected for { + season_type.display_name} stats") + return pd.DataFrame() + + logging.debug(f"Concatenating {len(season_dfs)} DataFrames") + all_stats = pd.concat(season_dfs, ignore_index=True) + logging.info(f"Successfully collected {len(all_stats)} total records") + logging.debug(f"Final combined DataFrame shape: {all_stats.shape}") + return all_stats + + +def save_stats_to_csv( + df: pd.DataFrame, + filename: str, + output_dir: str = "nba_stats_output" +) -> None: + """ + Save DataFrame to CSV file. + + Args: + df (pd.DataFrame): DataFrame to save + filename (str): Name of the file + output_dir (str): Directory to save the file + """ + import os + + try: + logging.debug(f"Attempting to save DataFrame with shape { + df.shape} to {filename}") + + # Create output directory if it doesn't exist + os.makedirs(output_dir, exist_ok=True) + logging.debug(f"Output directory ensured: {output_dir}") + + # Save to CSV + output_path = os.path.join(output_dir, filename) + df.to_csv(output_path, index=False) + logging.info(f"Successfully saved data to {output_path}") + + except Exception as e: + logging.error(f"Error saving data to {filename}") + logging.error(f"Exception details: {str(e)}") + logging.debug(f"Traceback: {traceback.format_exc()}") + + +def main(first_year: int, last_year: int, season_type: SeasonType): + """ + Main function to run the NBA stats scraper. + + Args: + first_year (int): Starting year for data collection + last_year (int): Ending year for data collection + season_type (SeasonType): Type of season stats to collect + """ + logging.info(f"Starting NBA stats collection: years { + first_year}-{last_year}, type: {season_type.display_name}") + + # Get stats + stats_df = get_stats_for_years( + first_year=first_year, + last_year=last_year, + season_type=season_type + ) + + # Save results + if not stats_df.empty: + timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") + filename = f"{str(season_type)}_stats_{timestamp}.csv" + save_stats_to_csv(stats_df, filename) + else: + logging.warning("No data to save - resulting DataFrame is empty") + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser(description='NBA Stats Scraper') + parser.add_argument('--first-year', type=int, default=1980, + help='First year to collect stats from') + parser.add_argument('--last-year', type=int, default=2024, + help='Last year to collect stats from') + parser.add_argument( + '--season-type', + type=str, + choices=[season_type.name for season_type in SeasonType], + default=SeasonType.REGULAR.name, + help='Type of season stats to collect' + ) + parser.add_argument( + '--log-level', + type=str, + choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], + default='INFO', + help='Set the logging level' + ) + + args = parser.parse_args() + + # Setup logging before anything else + setup_logging(log_level=getattr(logging, args.log_level)) + + try: + main( + args.first_year, + args.last_year, + SeasonType[args.season_type] + ) + except Exception as e: + logging.critical(f"Unhandled exception in main execution") + logging.critical(f"Exception details: {str(e)}") + logging.debug(f"Traceback: {traceback.format_exc()}") + sys.exit(1) diff --git a/demo.py b/demo.py new file mode 100644 index 0000000..3f9a0e9 --- /dev/null +++ b/demo.py @@ -0,0 +1,4 @@ +from BRScraper import nba + +df = nba.get_general_info() +print(df) \ No newline at end of file diff --git a/get_franchises.py b/get_franchises.py new file mode 100644 index 0000000..b1255ca --- /dev/null +++ b/get_franchises.py @@ -0,0 +1,60 @@ +from bs4 import BeautifulSoup +import csv + +# Load HTML content from a local file +with open('teams.html', 'r', encoding='utf-8') as file: + html_content = file.read() + +# Initialize BeautifulSoup +soup = BeautifulSoup(html_content, 'html.parser') + +# Specify CSV output file name +csv_file = 'nba_franchises.csv' + +# Define column headers with the new team_id column at index 0 +headers = [ + 'Team ID', 'Team Name', 'League', 'Start Year', 'End Year', 'Total Years', + 'Games Played', 'Wins', 'Losses', 'Win-Loss %', 'Playoff Appearances', + 'Division Titles', 'Conference Titles', 'Championships' +] + +# Open CSV file for writing +with open(csv_file, mode='w', newline='') as file: + writer = csv.writer(file) + writer.writerow(headers) + + # Parse each team row + # for row in soup.find_all('tr', class_=['full_table', 'partial_table']): + for row in soup.find_all('tr', class_=['full_table']): # ignore partial for now... + # Get the end year (year_max) and skip if it's before 1979-80 + end_year = row.find('td', {'data-stat': 'year_max'}).text + if end_year < '1979-80': + continue # Skip rows with end year before 1979-80 + + # Extract team_id from the hyperlink within the table header + th_element = row.find('th', {'data-stat': 'franch_name'}) or row.find('th', {'data-stat': 'team_name'}) + link = th_element.find('a', href=True) + team_id = link['href'].split('/')[-2] if link else '' # Get the 3-letter code from href, if available + + # Extract remaining data for the row + team_name = th_element.text + league = row.find('td', {'data-stat': 'lg_id'}).text + start_year = row.find('td', {'data-stat': 'year_min'}).text + years = row.find('td', {'data-stat': 'years'}).text + games_played = row.find('td', {'data-stat': 'g'}).text + wins = row.find('td', {'data-stat': 'wins'}).text + losses = row.find('td', {'data-stat': 'losses'}).text + win_loss_pct = row.find('td', {'data-stat': 'win_loss_pct'}).text + playoff_appearances = row.find('td', {'data-stat': 'years_playoffs'}).text + division_titles = row.find('td', {'data-stat': 'years_division_champion'}).text + conference_titles = row.find('td', {'data-stat': 'years_conference_champion'}).text + championships = row.find('td', {'data-stat': 'years_league_champion'}).text + + # Write row to CSV, starting with team_id + writer.writerow([ + team_id, team_name, league, start_year, end_year, years, + games_played, wins, losses, win_loss_pct, playoff_appearances, + division_titles, conference_titles, championships + ]) + +print(f"Data has been successfully written to {csv_file}") diff --git a/logs/nba_stats_scraper_20241026_093432.log b/logs/nba_stats_scraper_20241026_093432.log new file mode 100644 index 0000000..07280b6 --- /dev/null +++ b/logs/nba_stats_scraper_20241026_093432.log @@ -0,0 +1,6 @@ +2024-10-26 09:34:32,799 - INFO - [collect_season_player_stats.py:233] - Starting NBA stats collection: years 2024-2024, type: regular season +2024-10-26 09:34:32,799 - INFO - [collect_season_player_stats.py:165] - Starting collection of regular season stats from 2024 to 2024 +2024-10-26 09:34:32,799 - INFO - [collect_season_player_stats.py:95] - Fetching regular season stats for 2024 +2024-10-26 09:34:34,179 - INFO - [collect_season_player_stats.py:133] - Successfully fetched 657 records for 2024 regular season +2024-10-26 09:34:34,179 - INFO - [collect_season_player_stats.py:185] - Successfully collected 657 total records +2024-10-26 09:34:34,188 - INFO - [collect_season_player_stats.py:216] - Successfully saved data to nba_stats_output/regular_stats_20241026_093434.csv diff --git a/nba_franchises.csv b/nba_franchises.csv new file mode 100644 index 0000000..eecfed2 --- /dev/null +++ b/nba_franchises.csv @@ -0,0 +1,31 @@ +Team ID,Team Name,League,Start Year,End Year,Total Years,Games Played,Wins,Losses,Win-Loss %,Playoff Appearances,Division Titles,Conference Titles,Championships +ATL, Atlanta Hawks,1949-50,2024-25,76,5939,2929,3010,.493,49,12,0,1 +BOS, Boston Celtics,1946-47,2024-25,79,6116,3636,2480,.595,61,34,11,18 +NJN, Brooklyn Nets,1967-68,2024-25,58,4614,2028,2586,.440,31,5,2,2 +CHA, Charlotte Hornets,1988-89,2024-25,35,2715,1175,1540,.433,10,0,0,0 +CHI, Chicago Bulls,1966-67,2024-25,59,4682,2384,2298,.509,36,9,6,6 +CLE, Cleveland Cavaliers,1970-71,2024-25,55,4355,2034,2321,.467,24,7,5,1 +DAL, Dallas Mavericks,1980-81,2024-25,45,3544,1798,1746,.507,25,5,3,1 +DEN, Denver Nuggets,1967-68,2024-25,58,4614,2367,2247,.513,39,13,1,1 +DET, Detroit Pistons,1948-49,2024-25,77,6000,2827,3173,.471,42,11,5,3 +GSW, Golden State Warriors,1946-47,2024-25,79,6105,2971,3134,.487,37,12,7,7 +HOU, Houston Rockets,1967-68,2024-25,58,4608,2370,2238,.514,34,8,4,2 +IND, Indiana Pacers,1967-68,2024-25,58,4614,2358,2256,.511,37,9,1,3 +LAC, Los Angeles Clippers,1970-71,2024-25,55,4361,1843,2518,.423,18,3,0,0 +LAL, Los Angeles Lakers,1948-49,2024-25,77,6006,3552,2454,.591,64,33,19,17 +MEM, Memphis Grizzlies,1995-96,2024-25,30,2313,999,1314,.432,13,2,0,0 +MIA, Miami Heat,1988-89,2024-25,37,2886,1521,1365,.527,25,16,7,3 +MIL, Milwaukee Bucks,1968-69,2024-25,57,4527,2390,2137,.528,36,19,3,2 +MIN, Minnesota Timberwolves,1989-90,2024-25,36,2796,1148,1648,.411,12,1,0,0 +NOH, New Orleans Pelicans,2002-03,2024-25,23,1770,833,937,.471,9,1,0,0 +NYK, New York Knicks,1946-47,2024-25,79,6107,2975,3132,.487,45,8,4,2 +OKC, Oklahoma City Thunder,1967-68,2024-25,58,4607,2471,2136,.536,33,12,4,1 +ORL, Orlando Magic,1989-90,2024-25,36,2805,1317,1488,.470,17,7,2,0 +PHI, Philadelphia 76ers,1949-50,2024-25,76,5943,3101,2842,.522,54,12,5,3 +PHO, Phoenix Suns,1968-69,2024-25,57,4527,2430,2097,.537,33,8,3,0 +POR, Portland Trail Blazers,1970-71,2024-25,55,4364,2292,2072,.525,37,6,3,1 +SAC, Sacramento Kings,1948-49,2024-25,77,6006,2748,3258,.458,30,6,0,1 +SAS, San Antonio Spurs,1967-68,2024-25,58,4612,2683,1929,.582,47,22,6,5 +TOR, Toronto Raptors,1995-96,2024-25,30,2312,1097,1215,.474,13,7,1,1 +UTA, Utah Jazz,1974-75,2024-25,51,4034,2177,1857,.540,31,11,2,0 +WAS, Washington Wizards,1961-62,2024-25,64,5088,2272,2816,.447,30,8,4,1 \ No newline at end of file diff --git a/nba_franchises_take1.csv b/nba_franchises_take1.csv new file mode 100644 index 0000000..0f9d7e3 --- /dev/null +++ b/nba_franchises_take1.csv @@ -0,0 +1,108 @@ +Team Name,League,Start Year,End Year,Total Years,Games Played,Wins,Losses,Win-Loss %,Playoff Appearances,Division Titles,Conference Titles,Championships +Atlanta Hawks,NBA,1949-50,2024-25,76,5939,2929,3010,.493,49,12,0,1 +Atlanta Hawks,NBA,1968-69,2024-25,57,4521,2231,2290,.493,36,6,0,0 +St. Louis Hawks,NBA,1955-56,1967-68,13,1005,553,452,.550,12,6,0,1 +Milwaukee Hawks,NBA,1951-52,1954-55,4,281,91,190,.324,0,0,0,0 +Tri-Cities Blackhawks,NBA,1949-50,1950-51,2,132,54,78,.409,1,0,0,0 + +Boston Celtics,NBA/BAA,1946-47,2024-25,79,6116,3636,2480,.595,61,34,11,18 + +Brooklyn Nets,NBA/ABA,1967-68,2024-25,58,4614,2028,2586,.440,31,5,2,2 +Brooklyn Nets,NBA,2012-13,2024-25,13,966,446,520,.462,8,0,0,0 +New Jersey Nets,NBA,1977-78,2011-12,35,2822,1186,1636,.420,16,4,2,0 +New York Nets,NBA,1976-77,1976-77,1,82,22,60,.268,0,0,0,0 +New York Nets,ABA,1968-69,1975-76,8,666,338,328,.508,7,1,0,2 + +New Jersey Americans,ABA,1967-68,1967-68,1,78,36,42,.462,0,0,0,0 +"Charlotte Hornets +",NBA,1988-89,2024-25,35,2715,1175,1540,.433,10,0,0,0 +Charlotte Hornets,NBA,2014-15,2024-25,11,795,340,455,.428,1,0,0,0 +Charlotte Bobcats,NBA,2004-05,2013-14,10,804,293,511,.364,2,0,0,0 +Charlotte Hornets,NBA,1988-89,2001-02,14,1116,542,574,.486,7,0,0,0 +Chicago Bulls,NBA,1966-67,2024-25,59,4682,2384,2298,.509,36,9,6,6 +"Cleveland Cavaliers +",NBA,1970-71,2024-25,55,4355,2034,2321,.467,24,7,5,1 +"Dallas Mavericks +",NBA,1980-81,2024-25,45,3544,1798,1746,.507,25,5,3,1 +Denver Nuggets,NBA/ABA,1967-68,2024-25,58,4614,2367,2247,.513,39,13,1,1 +Denver Nuggets,NBA,1976-77,2024-25,49,3870,1954,1916,.505,30,10,1,1 +Denver Nuggets,ABA,1974-75,1975-76,2,168,125,43,.744,2,2,0,0 +Denver Rockets,ABA,1967-68,1973-74,7,576,288,288,.500,7,1,0,0 +Detroit Pistons,NBA/BAA,1948-49,2024-25,77,6000,2827,3173,.471,42,11,5,3 +Detroit Pistons,NBA,1957-58,2024-25,68,5381,2514,2867,.467,34,9,5,3 +Fort Wayne Pistons,NBA/BAA,1948-49,1956-57,9,619,313,306,.506,8,2,0,0 +"Golden State + Warriors +",NBA/BAA,1946-47,2024-25,79,6105,2971,3134,.487,37,12,7,7 +Golden State Warriors,NBA,1971-72,2024-25,54,4273,2083,2190,.487,20,7,7,5 +San Francisco Warriors,NBA,1962-63,1970-71,9,729,330,399,.453,5,2,0,0 +Philadelphia Warriors,NBA/BAA,1946-47,1961-62,16,1103,558,545,.506,12,3,0,2 +Houston Rockets,NBA,1967-68,2024-25,58,4608,2370,2238,.514,34,8,4,2 +Houston Rockets,NBA,1971-72,2024-25,54,4280,2251,2029,.526,33,8,4,2 +San Diego Rockets,NBA,1967-68,1970-71,4,328,119,209,.363,1,0,0,0 +Indiana Pacers,NBA/ABA,1967-68,2024-25,58,4614,2358,2256,.511,37,9,1,3 +Indiana Pacers,NBA,1976-77,2024-25,49,3870,1931,1939,.499,28,6,1,0 +Indiana Pacers,ABA,1967-68,1975-76,9,744,427,317,.574,9,3,0,3 +"Los Angeles Clippers +",NBA,1970-71,2024-25,55,4361,1843,2518,.423,18,3,0,0 +Los Angeles Clippers,NBA,1984-85,2024-25,41,3213,1398,1815,.435,15,3,0,0 +San Diego Clippers,NBA,1978-79,1983-84,6,492,186,306,.378,0,0,0,0 +Buffalo Braves,NBA,1970-71,1977-78,8,656,259,397,.395,3,0,0,0 +"Los Angeles Lakers +",NBA/BAA,1948-49,2024-25,77,6006,3552,2454,.591,64,33,19,17 +Los Angeles Lakers,NBA,1960-61,2024-25,65,5167,3095,2072,.599,53,29,19,12 +Minneapolis Lakers,NBA/BAA,1948-49,1959-60,12,839,457,382,.545,11,4,0,5 +"Memphis Grizzlies +",NBA,1995-96,2024-25,30,2313,999,1314,.432,13,2,0,0 +Memphis Grizzlies,NBA,2001-02,2024-25,24,1853,898,955,.485,13,2,0,0 +Vancouver Grizzlies,NBA,1995-96,2000-01,6,460,101,359,.220,0,0,0,0 +Miami Heat,NBA,1988-89,2024-25,37,2886,1521,1365,.527,25,16,7,3 +Milwaukee Bucks,NBA,1968-69,2024-25,57,4527,2390,2137,.528,36,19,3,2 +"Minnesota + Timberwolves +",NBA,1989-90,2024-25,36,2796,1148,1648,.411,12,1,0,0 +"New Orleans Pelicans +",NBA,2002-03,2024-25,23,1770,833,937,.471,9,1,0,0 +New Orleans Pelicans,NBA,2013-14,2024-25,12,884,414,470,.468,4,0,0,0 +NO/Ok. City Hornets,NBA,2005-06,2006-07,2,164,77,87,.470,0,0,0,0 +New Orleans Hornets,NBA,2002-03,2012-13,9,722,342,380,.474,5,1,0,0 +New York Knicks,NBA/BAA,1946-47,2024-25,79,6107,2975,3132,.487,45,8,4,2 +"Oklahoma City + Thunder +",NBA,1967-68,2024-25,58,4607,2471,2136,.536,33,12,4,1 +Oklahoma City Thunder,NBA,2008-09,2024-25,17,1277,726,551,.569,11,6,1,0 +Seattle SuperSonics,NBA,1967-68,2007-08,41,3330,1745,1585,.524,22,6,3,1 +Orlando Magic,NBA,1989-90,2024-25,36,2805,1317,1488,.470,17,7,2,0 +"Philadelphia 76ers +",NBA,1949-50,2024-25,76,5943,3101,2842,.522,54,12,5,3 +Philadelphia 76ers,NBA,1963-64,2024-25,62,4930,2525,2405,.512,40,9,5,2 +Syracuse Nationals,NBA,1949-50,1962-63,14,1013,576,437,.569,14,3,0,1 +Phoenix Suns,NBA,1968-69,2024-25,57,4527,2430,2097,.537,33,8,3,0 +"Portland Trail + Blazers +",NBA,1970-71,2024-25,55,4364,2292,2072,.525,37,6,3,1 +"Sacramento Kings +",NBA/BAA,1948-49,2024-25,77,6006,2748,3258,.458,30,6,0,1 +Sacramento Kings,NBA,1985-86,2024-25,40,3131,1342,1789,.429,11,3,0,0 +Kansas City Kings,NBA,1975-76,1984-85,10,820,381,439,.465,4,1,0,0 +Kansas City-Omaha Kings,NBA,1972-73,1974-75,3,246,113,133,.459,1,0,0,0 +Cincinnati Royals,NBA,1957-58,1971-72,15,1189,555,634,.467,7,0,0,0 +Rochester Royals,NBA/BAA,1948-49,1956-57,9,620,357,263,.576,7,2,0,1 +"San Antonio Spurs +",NBA/ABA,1967-68,2024-25,58,4612,2683,1929,.582,47,22,6,5 +San Antonio Spurs,NBA,1976-77,2024-25,49,3868,2305,1563,.596,39,22,6,5 +San Antonio Spurs,ABA,1973-74,1975-76,3,252,146,106,.579,3,0,0,0 +Texas Chaparrals,ABA,1970-71,1970-71,1,84,30,54,.357,1,0,0,0 +Dallas Chaparrals,ABA,1967-68,1972-73,5,408,202,206,.495,4,0,0,0 +Toronto Raptors,NBA,1995-96,2024-25,30,2312,1097,1215,.474,13,7,1,1 +Utah Jazz,NBA,1974-75,2024-25,51,4034,2177,1857,.540,31,11,2,0 +Utah Jazz,NBA,1979-80,2024-25,46,3624,2016,1608,.556,31,11,2,0 +New Orleans Jazz,NBA,1974-75,1978-79,5,410,161,249,.393,0,0,0,0 +"Washington Wizards +",NBA,1961-62,2024-25,64,5088,2272,2816,.447,30,8,4,1 +Washington Wizards,NBA,1997-98,2024-25,28,2147,894,1253,.416,9,1,0,0 +Washington Bullets,NBA,1974-75,1996-97,23,1886,887,999,.470,13,2,3,1 +Capital Bullets,NBA,1973-74,1973-74,1,82,47,35,.573,1,1,0,0 +Baltimore Bullets,NBA,1963-64,1972-73,10,813,401,412,.493,7,4,1,0 +Chicago Zephyrs,NBA,1962-63,1962-63,1,80,25,55,.313,0,0,0,0 +Chicago Packers,NBA,1961-62,1961-62,1,80,18,62,.225,0,0,0,0 diff --git a/nba_franchises_take2.csv b/nba_franchises_take2.csv new file mode 100644 index 0000000..703c586 --- /dev/null +++ b/nba_franchises_take2.csv @@ -0,0 +1,87 @@ +Team Name,League,Start Year,End Year,Total Years,Games Played,Wins,Losses,Win-Loss %,Playoff Appearances,Division Titles,Conference Titles,Championships + +Atlanta Hawks,NBA,1949-50,2024-25,76,5939,2929,3010,.493,49,12,0,1 +Atlanta Hawks,NBA,1968-69,2024-25,57,4521,2231,2290,.493,36,6,0,0 + +Boston Celtics,NBA/BAA,1946-47,2024-25,79,6116,3636,2480,.595,61,34,11,18 + +Brooklyn Nets,NBA/ABA,1967-68,2024-25,58,4614,2028,2586,.440,31,5,2,2 + +Brooklyn Nets,NBA,2012-13,2024-25,13,966,446,520,.462,8,0,0,0 +New Jersey Nets,NBA,1977-78,2011-12,35,2822,1186,1636,.420,16,4,2,0 + +"Charlotte Hornets",NBA,1988-89,2024-25,35,2715,1175,1540,.433,10,0,0,0 +Charlotte Hornets,NBA,2014-15,2024-25,11,795,340,455,.428,1,0,0,0 +Charlotte Bobcats,NBA,2004-05,2013-14,10,804,293,511,.364,2,0,0,0 +Charlotte Hornets,NBA,1988-89,2001-02,14,1116,542,574,.486,7,0,0,0 + +Chicago Bulls,NBA,1966-67,2024-25,59,4682,2384,2298,.509,36,9,6,6 + +"Cleveland Cavaliers",NBA,1970-71,2024-25,55,4355,2034,2321,.467,24,7,5,1 +"Dallas Mavericks",NBA,1980-81,2024-25,45,3544,1798,1746,.507,25,5,3,1 + +Denver Nuggets,NBA/ABA,1967-68,2024-25,58,4614,2367,2247,.513,39,13,1,1 +Denver Nuggets,NBA,1976-77,2024-25,49,3870,1954,1916,.505,30,10,1,1 + +Detroit Pistons,NBA/BAA,1948-49,2024-25,77,6000,2827,3173,.471,42,11,5,3 +Detroit Pistons,NBA,1957-58,2024-25,68,5381,2514,2867,.467,34,9,5,3 + +"Golden State Warriors",NBA/BAA,1946-47,2024-25,79,6105,2971,3134,.487,37,12,7,7 +Golden State Warriors,NBA,1971-72,2024-25,54,4273,2083,2190,.487,20,7,7,5 + +Houston Rockets,NBA,1967-68,2024-25,58,4608,2370,2238,.514,34,8,4,2 +Houston Rockets,NBA,1971-72,2024-25,54,4280,2251,2029,.526,33,8,4,2 + +Indiana Pacers,NBA/ABA,1967-68,2024-25,58,4614,2358,2256,.511,37,9,1,3 +Indiana Pacers,NBA,1976-77,2024-25,49,3870,1931,1939,.499,28,6,1,0 + +"Los Angeles Clippers",NBA,1970-71,2024-25,55,4361,1843,2518,.423,18,3,0,0 +Los Angeles Clippers,NBA,1984-85,2024-25,41,3213,1398,1815,.435,15,3,0,0 +San Diego Clippers,NBA,1978-79,1983-84,6,492,186,306,.378,0,0,0,0 + +"Los Angeles Lakers",NBA/BAA,1948-49,2024-25,77,6006,3552,2454,.591,64,33,19,17 +Los Angeles Lakers,NBA,1960-61,2024-25,65,5167,3095,2072,.599,53,29,19,12 + +"Memphis Grizzlies",NBA,1995-96,2024-25,30,2313,999,1314,.432,13,2,0,0 +Memphis Grizzlies,NBA,2001-02,2024-25,24,1853,898,955,.485,13,2,0,0 +Vancouver Grizzlies,NBA,1995-96,2000-01,6,460,101,359,.220,0,0,0,0 + +Miami Heat,NBA,1988-89,2024-25,37,2886,1521,1365,.527,25,16,7,3 + +Milwaukee Bucks,NBA,1968-69,2024-25,57,4527,2390,2137,.528,36,19,3,2 + +"Minnesota Timberwolves",NBA,1989-90,2024-25,36,2796,1148,1648,.411,12,1,0,0 + +"New Orleans Pelicans",NBA,2002-03,2024-25,23,1770,833,937,.471,9,1,0,0 +New Orleans Pelicans,NBA,2013-14,2024-25,12,884,414,470,.468,4,0,0,0 + +NO/Ok. City Hornets,NBA,2005-06,2006-07,2,164,77,87,.470,0,0,0,0 +New Orleans Hornets,NBA,2002-03,2012-13,9,722,342,380,.474,5,1,0,0 + +New York Knicks,NBA/BAA,1946-47,2024-25,79,6107,2975,3132,.487,45,8,4,2 +"Oklahoma City Thunder",NBA,1967-68,2024-25,58,4607,2471,2136,.536,33,12,4,1 +Oklahoma City Thunder,NBA,2008-09,2024-25,17,1277,726,551,.569,11,6,1,0 +Seattle SuperSonics,NBA,1967-68,2007-08,41,3330,1745,1585,.524,22,6,3,1 +Orlando Magic,NBA,1989-90,2024-25,36,2805,1317,1488,.470,17,7,2,0 + +"Philadelphia 76ers",NBA,1949-50,2024-25,76,5943,3101,2842,.522,54,12,5,3 +Philadelphia 76ers,NBA,1963-64,2024-25,62,4930,2525,2405,.512,40,9,5,2 + +Phoenix Suns,NBA,1968-69,2024-25,57,4527,2430,2097,.537,33,8,3,0 +"Portland Trail Blazers",NBA,1970-71,2024-25,55,4364,2292,2072,.525,37,6,3,1 + +"Sacramento Kings",NBA/BAA,1948-49,2024-25,77,6006,2748,3258,.458,30,6,0,1 +Sacramento Kings,NBA,1985-86,2024-25,40,3131,1342,1789,.429,11,3,0,0 +Kansas City Kings,NBA,1975-76,1984-85,10,820,381,439,.465,4,1,0,0 + +"San Antonio Spurs",NBA/ABA,1967-68,2024-25,58,4612,2683,1929,.582,47,22,6,5 +San Antonio Spurs,NBA,1976-77,2024-25,49,3868,2305,1563,.596,39,22,6,5 + +Toronto Raptors,NBA,1995-96,2024-25,30,2312,1097,1215,.474,13,7,1,1 + +Utah Jazz,NBA,1974-75,2024-25,51,4034,2177,1857,.540,31,11,2,0 +Utah Jazz,NBA,1979-80,2024-25,46,3624,2016,1608,.556,31,11,2,0 + +"Washington Wizards",NBA,1961-62,2024-25,64,5088,2272,2816,.447,30,8,4,1 +Washington Wizards,NBA,1997-98,2024-25,28,2147,894,1253,.416,9,1,0,0 +Washington Bullets,NBA,1974-75,1996-97,23,1886,887,999,.470,13,2,3,1 diff --git a/nba_franchises_take3.csv b/nba_franchises_take3.csv new file mode 100644 index 0000000..648523b --- /dev/null +++ b/nba_franchises_take3.csv @@ -0,0 +1,84 @@ +Team ID,Team Name,Start Year,End Year,Total Years,Games Played,Wins,Losses,Win-Loss %,Playoff Appearances,Division Titles,Conference Titles,Championships + +ATL,Atlanta Hawks, 1949-50, 2024-25, 76, 5939, 2929, 3010, .493, 49, 1 2,0,1 +BOS,Boston Celtics,1946-47,2024-25,79,6116,3636,2480,.595,61,34,11,18 + +NJN,Brooklyn Nets,1967-68,2024-25,58,4614,2028,2586,.440,31,5,2,2 + +CHA,"Charlotte Hornets", 1988-89, 2024-25, 35, 2715, 1175, 1540, .433, 10, 0, 0,0 + + +CHI,Chicago Bulls, 1966-67, 2024-25, 59, 4682, 2384, 2298, .509, 36, 9, 6,6 + +CLE,"Cleveland Cavaliers", 1970-71, 2024-25, 55, 4355, 2034, 2321, .467, 24, 7, 5,1 + +DAL,"Dallas Mavericks", 1980-81, 2024-25, 45, 3544, 1798, 1746, .507, 25, 5, 3,1 + +DEN,Denver Nuggets,1967-68,2024-25,58,4614,2367,2247,.513,39,13,1,1 +,Denver Nuggets, 1976-77, 2024-25, 49, 3870, 1954, 1916, .505, 30, 1 0,1,1 + +DET,Detroit Pistons,1948-49,2024-25,77,6000,2827,3173,.471,42,11,5,3 +,Detroit Pistons, 1957-58, 2024-25, 68, 5381, 2514, 2867, .467, 34, 9, 5,3 + +GSW,"Golden State Warriors",1946-47,2024-25,79,6105,2971,3134,.487,37,12,7,7 +,Golden State Warriors, 1971-72, 2024-25, 54, 4273, 2083, 2190, .487, 20, 7, 7,5 + +HOU,Houston Rockets, 1967-68, 2024-25, 58, 4608, 2370, 2238, .514, 34, 8, 4,2 +,Houston Rockets, 1971-72, 2024-25, 54, 4280, 2251, 2029, .526, 33, 8, 4,2 + +IND,Indiana Pacers,1967-68,2024-25,58,4614,2358,2256,.511,37,9,1,3 +,Indiana Pacers, 1976-77, 2024-25, 49, 3870, 1931, 1939, .499, 28, 6, 1,0 + +LAC,"Los Angeles Clippers", 1970-71, 2024-25, 55, 4361, 1843, 2518, .423, 18, 3, 0,0 +,Los Angeles Clippers, 1984-85, 2024-25, 41, 3213, 1398, 1815, .435, 15, 3, 0,0 +,San Diego Clippers, 1978-79, 1983-84, 6, 492, 186, 306, .378, 0,0, 0, 0 + +LAL,"Los Angeles Lakers",1948-49,2024-25,77,6006,3552,2454,.591,64,33,19,17 +,Los Angeles Lakers, 1960-61, 2024-25, 65, 5167, 3095, 2072, .599, 53, 2 9,19,12 + +MEM,"Memphis Grizzlies", 1995-96, 2024-25, 30, 2313, 999, 1314, .432, 13, 2, 0,0 +,Memphis Grizzlies, 2001-02, 2024-25, 24, 1853, 898, 955, .485, 13, 2, 0,0 +,Vancouver Grizzlies, 1995-96, 2000-01, 6, 460, 101, 359, .220, 0,0, 0, 0 + +MIA,Miami Heat, 1988-89, 2024-25, 37, 2886, 1521, 1365, .527, 25, 1 6,7,3 + +MIL,Milwaukee Bucks, 1968-69, 2024-25, 57, 4527, 2390, 2137, .528, 36, 1 9,3,2 + +MIN,"Minnesota Timberwolves", 1989-90, 2024-25, 36, 2796, 1148, 1648, .411, 12, 1, 0,0 + +NOH,"New Orleans Pelicans", 2002-03, 2024-25, 23, 1770, 833, 937, .471, 9,1, 0, 0 +,New Orleans Pelicans, 2013-14, 2024-25, 12, 884, 414, 470, .468, 4,0, 0, 0 +,NO/Ok. City Hornets, 2005-06, 2006-07, 2, 164, 77, 87, .470, 0,0, 0, 0 +,New Orleans Hornets, 2002-03, 2012-13, 9, 722, 342, 380, .474, 5,1, 0, 0 + +NYK,New York Knicks,1946-47,2024-25,79,6107,2975,3132,.487,45,8,4,2 + +OKC,"Oklahoma City Thunder", 1967-68, 2024-25, 58, 4607, 2471, 2136, .536, 33, 1 2,4,1 +,Oklahoma City Thunder, 2008-09, 2024-25, 17, 1277, 726, 551, .569, 11, 6, 1,0 +,Seattle SuperSonics, 1967-68, 2007-08, 41, 3330, 1745, 1585, .524, 22, 6, 3,1 + +ORL,Orlando Magic, 1989-90, 2024-25, 36, 2805, 1317, 1488, .470, 17, 7, 2,0 + +PHI,"Philadelphia 76ers", 1949-50, 2024-25, 76, 5943, 3101, 2842, .522, 54, 1 2,5,3 +,Philadelphia 76ers, 1963-64, 2024-25, 62, 4930, 2525, 2405, .512, 40, 9, 5,2 + +PHO,Phoenix Suns, 1968-69, 2024-25, 57, 4527, 2430, 2097, .537, 33, 8, 3,0 + +POR,"Portland Trail Blazers", 1970-71, 2024-25, 55, 4364, 2292, 2072, .525, 37, 6, 3,1 + +SAC,"Sacramento Kings",1948-49,2024-25,77,6006,2748,3258,.458,30,6,0,1 +,Sacramento Kings, 1985-86, 2024-25, 40, 3131, 1342, 1789, .429, 11, 3, 0,0 +,Kansas City Kings, 1975-76, 1984-85, 10, 820, 381, 439, .465, 4,1, 0, 0 + +SAS,"San Antonio Spurs",1967-68,2024-25,58,4612,2683,1929,.582,47,22,6,5 +,San Antonio Spurs, 1976-77, 2024-25, 49, 3868, 2305, 1563, .596, 39, 2 2,6,5 + +TOR,Toronto Raptors, 1995-96, 2024-25, 30, 2312, 1097, 1215, .474, 13, 7, 1,1 + +UTA,Utah Jazz, 1974-75, 2024-25, 51, 4034, 2177, 1857, .540, 31, 1 1,2,0 +,Utah Jazz, 1979-80, 2024-25, 46, 3624, 2016, 1608, .556, 31, 1 1,2,0 + + +WAS,"Washington Wizards", 1961-62, 2024-25, 64, 5088, 2272, 2816, .447, 30, 8, 4,1 +,Washington Wizards, 1997-98, 2024-25, 28, 2147, 894, 1253, .416, 9,1, 0, 0 +,Washington Bullets, 1974-75, 1996-97, 23, 1886, 887, 999, .470, 13, 2, 3,1 diff --git a/nba_stats_output/playoff_stats_20241026_050141.csv b/nba_stats_output/playoff_stats_20241026_050141.csv new file mode 100644 index 0000000..4fd2aac --- /dev/null +++ b/nba_stats_output/playoff_stats_20241026_050141.csv @@ -0,0 +1,432 @@ 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+edwarke02,SF,SAC,6,0,7,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,2023,playoff +embiijo01,C,PHI,9,9,336,66,153,5,28,61,125,76,84,16,72,88,24,6,25,35,27,213,2023,playoff +finnedo01,PF,BRK,4,4,101,9,23,7,17,2,6,0,0,6,12,18,3,3,2,5,7,25,2023,playoff +foxde01,PG,SAC,7,7,270,70,165,21,63,49,102,31,41,12,26,38,54,15,4,28,23,192,2023,playoff +gabriwe01,C,LAL,10,0,37,4,10,0,0,4,10,2,3,8,1,9,0,2,3,2,8,10,2023,playoff +garlada01,PG,CLE,5,5,189,35,80,12,31,23,49,21,25,0,9,9,25,8,1,18,17,103,2023,playoff +goberru01,C,MIN,5,5,177,29,46,0,0,29,46,17,27,18,43,61,10,2,5,8,24,75,2023,playoff +gordoaa01,PF,DEN,20,20,713,101,195,18,46,83,149,45,69,49,71,120,52,11,13,20,58,265,2023,playoff +gordoer01,SG,LAC,5,5,149,18,44,10,29,8,15,5,6,1,6,7,13,3,2,4,12,51,2023,playoff +greenda02,SG,CLE,4,0,40,1,5,1,4,0,1,0,0,2,5,7,1,2,1,2,7,3,2023,playoff +greendr01,PF,GSW,12,9,367,42,91,5,20,37,71,24,33,19,64,83,82,18,12,27,48,113,2023,playoff +greenja01,PF,GSW,7,2,49,9,23,5,18,4,5,0,0,0,5,5,3,0,1,2,10,23,2023,playoff +greenje02,PF,DEN,20,0,343,28,62,9,28,19,34,17,19,6,25,31,14,5,7,9,43,82,2023,playoff +griffbl01,C,BOS,1,0,6,0,1,0,0,0,1,0,0,1,1,2,0,0,0,0,2,0,2023,playoff +grimequ01,SG,NYK,9,6,242,14,46,9,37,5,9,9,11,3,22,25,13,9,5,10,17,46,2023,playoff +hachiru01,PF,LAL,16,1,388,73,131,19,39,54,92,30,34,9,49,58,10,8,4,10,25,195,2023,playoff +hardeja01,PG,PHI,11,11,427,72,183,31,82,41,101,48,55,6,62,68,91,20,4,35,28,223,2023,playoff +harremo01,C,PHI,2,0,7,0,3,0,0,0,3,0,0,0,1,1,0,0,0,0,0,0,2023,playoff +harrijo01,SF,BRK,4,0,44,2,13,1,12,1,1,2,2,0,5,5,0,2,0,3,5,7,2023,playoff +harrito02,SF,PHI,11,11,392,70,134,15,41,55,93,13,15,17,63,80,18,7,6,8,28,168,2023,playoff +harrish01,SG,LAL,8,0,28,4,7,1,1,3,6,1,2,0,3,3,9,2,0,0,3,10,2023,playoff +hartjo01,SF,NYK,11,5,353,45,94,10,32,35,62,14,22,18,63,81,24,9,3,21,38,114,2023,playoff +harteis01,C,NYK,11,0,220,11,23,0,0,11,23,12,16,23,28,51,14,9,15,5,29,34,2023,playoff +hasleud01,C,MIA,2,0,3,0,3,0,1,0,2,0,0,0,1,1,0,0,0,0,0,0,2023,playoff +hausesa01,SF,BOS,15,0,104,10,29,8,24,2,5,2,2,5,12,17,4,1,2,0,8,30,2023,playoff +herroty01,SG,MIA,1,1,19,5,9,2,4,3,5,0,0,0,2,2,2,0,1,1,1,12,2023,playoff +highsha01,PF,MIA,18,0,161,24,39,8,16,16,23,4,5,10,14,24,5,10,2,2,20,60,2023,playoff +holidaa01,PG,ATL,1,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,2023,playoff +holidjr01,PG,MIL,5,5,191,34,85,12,42,22,43,9,13,4,29,33,40,5,2,12,12,89,2023,playoff +horfoal01,C,BOS,20,20,617,51,132,28,94,23,38,3,4,30,113,143,59,22,34,11,47,133,2023,playoff +houseda01,SF,PHI,7,0,42,9,21,1,10,8,11,1,1,0,12,12,1,0,0,1,4,20,2023,playoff +huertke01,SG,SAC,7,7,183,25,72,8,39,17,33,6,8,1,30,31,8,3,9,4,23,64,2023,playoff +huntede01,SF,ATL,6,6,224,39,85,14,38,25,47,8,10,7,27,34,7,4,2,9,20,100,2023,playoff +hylanbo01,PG,LAC,5,0,82,15,44,5,20,10,24,8,10,1,3,4,4,4,1,4,9,43,2023,playoff +inglejo01,SF,MIL,5,0,89,12,23,10,20,2,3,0,0,1,5,6,10,3,1,6,7,34,2023,playoff +jacksja02,C,MEM,6,6,220,35,83,7,25,28,58,31,36,20,27,47,9,6,12,18,24,108,2023,playoff +jacksre01,PG,DEN,6,0,18,1,2,1,2,0,0,0,0,0,2,2,2,1,0,1,0,3,2023,playoff +jamesle01,PF,LAL,16,16,619,147,295,28,106,119,189,70,92,25,133,158,104,17,18,40,28,392,2023,playoff +jeffrda01,SG,NYK,2,0,5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,2023,playoff +johnsca02,PF,BRK,4,4,152,28,55,12,28,16,27,6,7,3,20,23,11,3,1,5,10,74,2023,playoff +johnsja05,SF,ATL,6,0,56,10,24,4,11,6,13,2,2,2,13,15,8,3,0,5,5,26,2023,playoff +jokicni01,C,DEN,20,20,789,227,414,35,76,192,338,111,139,69,200,269,190,21,20,70,69,600,2023,playoff +jonesty01,PG,MEM,6,1,120,11,36,3,19,8,17,2,3,3,15,18,22,8,0,8,5,27,2023,playoff +jordade01,C,DEN,4,0,14,2,3,0,0,2,3,1,2,0,4,4,1,0,1,2,2,5,2023,playoff +jovicni01,PF,MIA,7,0,13,1,4,0,2,1,2,0,0,1,4,5,0,0,0,0,0,2,2023,playoff +kennalu01,SG,MEM,5,0,107,12,23,8,16,4,7,4,4,5,15,20,7,4,0,1,8,36,2023,playoff +knighna01,C,MIN,2,0,5,1,4,0,2,1,2,0,0,1,0,1,0,0,0,1,0,2,2023,playoff +konchjo01,SF,MEM,5,0,49,2,9,0,4,2,5,0,0,4,6,10,4,2,2,1,6,4,2023,playoff +korkmfu01,SG,PHI,3,0,11,0,2,0,1,0,1,2,2,0,1,1,1,0,0,1,0,2,2023,playoff +kornelu01,C,BOS,8,0,32,7,8,1,1,6,7,2,2,5,5,10,0,0,1,0,2,17,2023,playoff +kuminjo01,PF,GSW,10,0,61,13,24,3,7,10,17,5,9,4,5,9,5,2,0,4,5,34,2023,playoff +lamban01,SF,GSW,6,0,31,2,5,1,4,1,1,0,0,1,5,6,0,1,1,2,3,5,2023,playoff +landajo01,C,PHO,7,1,113,17,27,0,1,17,26,9,14,10,18,28,3,3,3,2,15,43,2023,playoff +leeda03,SG,PHO,8,0,89,6,20,3,15,3,5,2,2,4,7,11,5,2,0,1,8,17,2023,playoff +lenal01,C,SAC,7,0,54,7,9,0,0,7,9,5,6,7,13,20,1,0,3,7,15,19,2023,playoff +leonaka01,SF,LAC,2,2,80,24,44,6,10,18,34,15,17,3,10,13,12,4,1,6,5,69,2023,playoff +leoname01,C,MIL,2,0,5,0,1,0,0,0,1,0,0,0,1,1,0,0,0,0,0,0,2023,playoff +leverca01,SG,CLE,5,3,170,27,63,13,36,14,27,8,13,4,19,23,13,2,1,5,10,75,2023,playoff +loftoke01,PF,MEM,4,0,12,3,8,0,2,3,6,1,2,1,2,3,1,0,0,0,0,7,2023,playoff +looneke01,C,GSW,13,8,325,37,64,0,0,37,64,10,18,61,109,170,43,8,5,13,36,84,2023,playoff +lopezbr01,C,MIL,5,5,182,39,67,7,17,32,50,10,13,14,18,32,6,7,9,11,10,95,2023,playoff +lopezro01,C,CLE,2,0,6,3,3,0,0,3,3,2,2,1,0,1,0,0,0,1,2,8,2023,playoff +loveke01,PF,MIA,20,18,359,45,119,33,88,12,31,14,16,14,97,111,24,9,7,10,35,137,2023,playoff +lowryky01,PG,MIA,23,1,599,74,174,33,88,41,86,31,33,12,69,81,101,24,14,40,59,212,2023,playoff +lylestr01,PF,SAC,7,0,118,17,40,9,27,8,13,3,5,9,31,40,5,2,0,3,12,46,2023,playoff +mannte01,SG,LAC,5,0,133,19,33,9,19,10,14,6,9,7,9,16,11,4,1,9,17,53,2023,playoff +martica02,SF,MIA,23,4,694,109,206,44,104,65,102,29,35,27,98,125,36,20,9,24,55,291,2023,playoff +matthwe02,SF,MIL,2,0,41,4,9,4,7,0,2,0,0,1,2,3,1,2,1,0,3,12,2023,playoff +maxeyty01,SG,PHI,11,11,423,82,192,34,85,48,107,28,31,9,44,53,25,15,5,8,26,226,2023,playoff +mcbrimi01,PG,NYK,8,0,20,1,4,1,3,0,1,0,0,0,2,2,1,0,1,0,1,3,2023,playoff +mcdanja01,SF,PHI,8,0,102,8,20,3,9,5,11,0,0,3,13,16,5,1,0,3,8,19,2023,playoff +mclaujo01,PG,MIN,2,0,14,0,4,0,2,0,2,0,0,0,2,2,2,0,0,0,2,0,2023,playoff +meltode01,SG,PHI,11,0,274,31,81,19,49,12,32,6,8,14,22,36,18,13,9,8,20,87,2023,playoff +metuch01,PF,SAC,3,0,6,0,1,0,0,0,1,2,3,1,0,1,0,0,0,1,0,2,2023,playoff +middlkh01,SF,MIL,5,5,173,40,86,13,32,27,54,26,30,7,25,32,31,3,0,17,15,119,2023,playoff +millspa02,PG,BRK,1,0,5,0,2,0,2,0,0,0,0,0,0,0,0,0,0,0,1,0,2023,playoff +miltosh01,SG,PHI,6,0,21,3,5,0,1,3,4,2,2,0,3,3,2,2,0,1,3,8,2023,playoff +minotjo01,SF,MIN,1,0,6,0,1,0,1,0,0,0,0,0,0,0,0,2,1,1,1,0,2023,playoff +mitchda01,PG,SAC,7,0,140,19,46,7,27,12,19,5,6,3,6,9,12,6,1,6,7,50,2023,playoff +mitchdo01,SG,CLE,5,5,207,45,104,13,45,32,59,13,18,3,22,25,36,10,3,19,14,116,2023,playoff +mobleev01,PF,CLE,5,5,188,22,48,0,1,22,47,5,8,15,35,50,10,3,6,12,13,49,2023,playoff +monkma01,SG,SAC,7,0,205,38,93,13,39,25,54,44,49,6,32,38,25,5,3,14,15,133,2023,playoff +moodymo01,SG,GSW,12,0,161,23,43,13,22,10,21,11,12,7,24,31,8,5,4,2,18,70,2023,playoff +moorewe01,SG,MIN,1,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,2023,playoff +moranja01,PG,MEM,5,5,187,45,106,13,31,32,75,20,26,8,26,34,35,9,1,17,12,123,2023,playoff +morrima03,PF,LAC,3,2,68,10,29,2,12,8,17,4,4,1,11,12,0,1,1,1,6,26,2023,playoff +murrade01,SG,ATL,5,5,190,46,103,14,37,32,66,9,9,9,27,36,34,10,1,10,7,115,2023,playoff +murraja01,PG,DEN,20,20,799,194,410,59,149,135,261,75,81,15,98,113,142,30,5,50,41,522,2023,playoff +murrake02,SF,SAC,7,7,194,26,58,12,32,14,26,4,6,15,29,44,5,4,2,4,18,68,2023,playoff +muscami01,C,BOS,6,0,21,2,4,2,4,0,0,3,4,3,1,4,1,0,0,1,1,9,2023,playoff +netora01,PG,CLE,2,0,7,0,1,0,1,0,0,1,2,0,0,0,1,0,0,2,2,1,2023,playoff +niangge01,PF,PHI,11,0,157,18,36,12,26,6,10,0,0,0,4,4,2,0,2,5,16,48,2023,playoff +nnajize01,PF,DEN,5,0,12,2,4,1,3,1,1,0,0,0,2,2,0,1,0,1,0,5,2023,playoff +nowelja01,SG,MIN,5,0,62,6,26,3,9,3,17,1,2,4,1,5,3,0,0,2,4,16,2023,playoff +onealro01,SF,BRK,4,0,118,7,29,4,22,3,7,2,2,4,13,17,14,5,1,4,11,20,2023,playoff +okogijo01,SG,PHO,10,5,175,14,37,2,14,12,23,11,13,12,9,21,13,6,2,3,18,41,2023,playoff +okongon01,C,ATL,6,0,131,15,25,1,1,14,24,5,10,19,19,38,7,2,8,7,18,36,2023,playoff +okorois01,SF,CLE,5,2,75,11,23,4,13,7,10,6,6,3,4,7,4,2,2,4,10,32,2023,playoff +oladivi01,SG,MIA,2,0,45,10,19,2,5,8,14,1,3,1,6,7,2,2,1,2,5,23,2023,playoff +osmande01,SF,CLE,5,0,93,9,25,6,20,3,5,6,9,1,14,15,5,2,1,5,12,30,2023,playoff +paulch01,PG,PHO,7,7,250,38,91,9,28,29,63,2,4,5,30,35,52,12,5,7,16,87,2023,playoff +payneca01,PG,PHO,7,4,152,23,48,11,27,12,21,0,3,0,14,14,20,3,2,9,15,57,2023,playoff +paytoga02,SG,GSW,12,3,192,36,54,4,15,32,39,6,9,22,22,44,9,8,6,11,19,82,2023,playoff +plumlma01,C,LAC,5,0,91,14,16,0,0,14,16,13,14,16,18,34,9,2,2,3,15,41,2023,playoff +poolejo01,PG,GSW,13,4,284,46,135,16,63,30,72,26,34,4,24,28,46,10,3,15,32,134,2023,playoff +portemi01,SF,DEN,20,20,654,99,234,46,131,53,103,23,29,20,142,162,31,10,11,9,42,267,2023,playoff +portibo01,PF,MIL,5,2,107,20,41,5,18,15,23,3,3,10,31,41,6,3,2,4,15,48,2023,playoff +powelno01,SG,LAC,5,3,167,36,76,13,32,23,44,24,31,4,11,15,11,4,2,8,16,109,2023,playoff +prestja01,PG,LAC,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2023,playoff +princta02,PF,MIN,5,1,100,12,33,8,21,4,12,7,9,3,4,7,4,3,1,5,9,39,2023,playoff +pritcpa01,PG,BOS,10,0,57,12,22,4,10,8,12,4,5,0,6,6,11,1,0,5,3,32,2023,playoff +quickim01,SG,NYK,8,0,175,23,66,9,37,14,29,17,20,2,11,13,8,4,0,9,11,72,2023,playoff +randlju01,PF,NYK,10,10,330,55,147,17,66,38,81,39,55,17,66,83,36,5,3,35,24,166,2023,playoff +reaveau01,SG,LAL,16,16,579,90,194,39,88,51,106,51,57,20,51,71,73,10,3,25,39,270,2023,playoff +reedpa01,C,PHI,11,2,157,22,38,0,0,22,38,7,7,27,33,60,7,6,4,6,15,51,2023,playoff +riverau01,SG,MIN,4,0,46,4,8,2,6,2,2,0,0,1,4,5,1,1,0,1,1,10,2023,playoff +robindu01,SF,MIA,23,1,418,75,158,50,113,25,45,7,8,1,33,34,39,8,3,20,36,207,2023,playoff +robinmi01,C,NYK,11,11,298,29,48,0,0,29,48,13,33,55,47,102,9,8,16,10,29,71,2023,playoff +roddyda01,PF,MEM,6,0,76,8,29,6,20,2,9,1,1,4,13,17,4,0,2,1,6,23,2023,playoff +rosede01,PG,NYK,1,0,3,0,4,0,1,0,3,0,0,0,0,0,1,0,0,0,0,0,2023,playoff +rosste01,SG,PHO,6,0,69,8,27,6,22,2,5,0,0,0,8,8,1,1,2,1,6,22,2023,playoff +rubiori01,PG,CLE,3,0,17,0,1,0,0,0,1,0,0,2,4,6,3,1,0,5,5,0,2023,playoff +russeda01,PG,LAL,16,15,473,83,195,27,87,56,108,20,26,10,37,47,74,11,5,29,32,213,2023,playoff +sabondo01,C,SAC,7,7,243,49,99,1,5,48,94,16,28,31,46,77,33,10,6,26,28,115,2023,playoff +schrode01,PG,LAL,16,3,417,41,103,13,39,28,64,23,28,3,28,31,46,16,3,20,40,118,2023,playoff +shamela01,SG,PHO,10,1,184,17,45,11,29,6,16,3,4,3,14,17,11,2,1,4,15,48,2023,playoff +sharpda01,C,BRK,2,0,20,2,3,0,0,2,3,2,2,2,4,6,5,0,1,2,3,6,2023,playoff +smartma01,PG,BOS,20,20,679,101,223,44,122,57,101,52,65,21,59,80,101,25,5,45,37,298,2023,playoff +smithis01,PG,DEN,4,0,12,1,2,0,0,1,2,0,0,0,1,1,1,0,0,0,2,2,2023,playoff +sprinja01,SG,PHI,4,0,17,4,4,0,0,4,4,1,2,0,0,0,0,1,0,1,2,9,2023,playoff +stevela01,SF,CLE,2,0,9,1,2,1,1,0,1,2,2,0,3,3,0,0,0,0,0,5,2023,playoff +strusma01,SF,MIA,23,23,648,76,189,43,135,33,54,20,25,14,69,83,33,8,7,6,47,215,2023,playoff +sumneed01,SG,BRK,1,0,4,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,2023,playoff +tatumja01,SF,BOS,20,20,799,185,404,53,164,132,240,120,137,26,184,210,105,21,21,56,44,543,2023,playoff +thomaca02,SG,BRK,2,0,16,3,7,0,2,3,5,0,0,0,1,1,1,0,0,1,2,6,2023,playoff +thompkl01,SF,GSW,13,13,468,85,219,50,136,35,83,21,24,1,53,54,29,7,4,26,28,241,2023,playoff +thomptr01,C,LAL,6,0,32,5,11,0,0,5,11,1,5,4,6,10,2,0,0,1,1,11,2023,playoff +tillmxa01,C,MEM,6,6,183,24,45,1,4,23,41,3,5,17,31,48,19,4,4,4,17,52,2023,playoff +toppiob01,PF,NYK,11,1,175,30,70,13,43,17,27,4,5,10,29,39,7,8,3,8,12,77,2023,playoff +townska01,PF,MIN,5,5,180,32,70,6,24,26,46,21,28,6,45,51,10,3,4,18,21,91,2023,playoff +tuckepj01,PF,PHI,11,11,294,19,51,14,40,5,11,2,3,18,32,50,16,13,3,5,28,54,2023,playoff +vandeja01,PF,LAL,15,13,247,24,60,7,29,17,31,14,20,19,29,48,12,11,12,13,31,69,2023,playoff +vincega01,PG,MIA,22,22,672,99,246,51,135,48,111,30,34,8,23,31,78,19,4,31,66,279,2023,playoff +wadede01,PF,CLE,2,0,11,0,1,0,1,0,0,2,2,0,3,3,0,0,0,0,0,2,2023,playoff +wainris01,SF,PHO,6,0,21,1,4,1,4,0,0,0,0,0,1,1,0,0,1,0,2,3,2023,playoff +walkelo01,SG,LAL,13,0,179,29,60,13,34,16,26,9,12,1,11,12,11,7,1,4,16,80,2023,playoff +warretj01,SF,PHO,6,0,81,6,19,1,7,5,12,3,4,2,5,7,3,1,3,1,5,16,2023,playoff +watanyu01,SF,BRK,1,0,5,1,2,1,2,0,0,0,2,0,1,1,0,0,0,1,0,3,2023,playoff +watsope01,SG,DEN,5,0,14,2,5,1,2,1,3,0,0,1,3,4,1,0,1,1,2,5,2023,playoff +westbru01,PG,LAC,5,5,192,43,105,10,28,33,77,22,25,9,29,38,37,6,7,20,15,118,2023,playoff +whitede01,SG,BOS,20,16,593,93,184,50,110,43,74,31,34,13,46,59,42,12,20,18,38,267,2023,playoff +wiggian01,SF,GSW,13,12,442,83,181,19,64,64,117,32,47,24,49,73,25,11,15,17,45,217,2023,playoff +willigr01,PF,BOS,15,0,265,25,53,18,40,7,13,8,10,11,22,33,18,5,6,4,25,76,2023,playoff +williro04,C,BOS,20,4,417,67,85,0,1,67,84,19,28,36,83,119,19,9,25,16,44,153,2023,playoff +willizi02,SF,MEM,4,0,12,2,7,1,3,1,4,0,0,0,2,2,2,0,0,2,1,5,2023,playoff +youngtr01,PG,ATL,6,6,230,60,149,18,54,42,95,37,43,5,17,22,61,10,4,24,11,175,2023,playoff +yurtsom01,C,MIA,8,0,16,2,7,0,2,2,5,0,0,3,2,5,1,0,1,1,2,4,2023,playoff +zelleco01,C,MIA,21,0,174,20,35,0,0,20,35,6,15,11,37,48,7,2,4,13,28,46,2023,playoff +zubaciv01,C,LAC,5,5,130,17,30,0,0,17,30,12,16,16,32,48,3,3,1,11,8,46,2023,playoff +achiupr01,PF,NYK,9,2,184,21,43,0,3,21,40,5,13,22,16,38,5,4,12,4,20,47,2024,playoff +adebaba01,C,MIA,5,5,192,48,97,2,10,46,87,15,21,11,36,47,19,2,0,8,15,113,2024,playoff +alexani01,SG,MIN,16,1,378,41,112,24,81,17,31,10,10,5,23,28,37,10,7,15,24,116,2024,playoff +allengr01,SG,PHO,2,2,43,1,5,1,5,0,0,4,4,2,6,8,2,1,0,3,4,7,2024,playoff +allenja01,C,CLE,4,4,127,25,37,0,0,25,37,18,26,15,40,55,5,5,4,5,8,68,2024,playoff +alvarjo01,PG,NOP,4,0,62,3,20,1,14,2,6,0,0,0,4,4,9,5,1,4,3,7,2024,playoff +anderky01,PF,MIN,15,1,231,26,57,2,8,24,49,10,12,18,22,40,38,10,5,10,26,64,2024,playoff +antetth01,PF,MIL,2,0,5,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,2024,playoff +anthoco01,PG,ORL,7,0,103,13,41,2,13,11,28,8,9,2,13,15,9,4,1,5,16,36,2024,playoff +anunoog01,SF,NYK,9,9,324,56,111,16,39,40,72,8,13,7,47,54,10,8,9,10,15,136,2024,playoff +banchpa01,PF,ORL,7,7,262,68,149,16,40,52,109,37,49,14,46,60,28,8,4,32,14,189,2024,playoff +batumni01,PF,PHI,6,0,170,12,29,9,22,3,7,5,8,9,26,35,8,1,5,5,13,38,2024,playoff +bealbr01,SG,PHO,4,4,154,26,59,10,23,16,36,4,5,6,5,11,18,3,1,13,15,66,2024,playoff +beaslma01,SG,MIL,6,2,131,21,41,11,25,10,16,0,0,1,14,15,4,4,0,3,9,53,2024,playoff +beaucma01,SF,MIL,4,0,10,1,4,0,2,1,2,1,2,0,1,1,2,0,0,1,1,3,2024,playoff +beverpa01,PG,MIL,6,6,210,16,39,4,11,12,28,13,15,4,16,20,33,6,4,6,16,49,2024,playoff +bitadgo01,C,ORL,2,0,10,0,2,0,0,0,2,0,0,1,2,3,2,0,0,1,0,0,2024,playoff +blackan01,PG,ORL,2,0,11,3,7,0,2,3,5,0,0,1,1,2,2,1,0,1,1,6,2024,playoff +bogdabo02,SF,NYK,4,0,51,7,24,6,15,1,9,4,7,1,11,12,4,0,1,1,3,24,2024,playoff +bolbo01,PF,PHO,3,0,13,1,3,0,0,1,3,0,0,0,4,4,0,1,0,0,2,2,2024,playoff +bookede01,PG,PHO,4,4,166,32,65,7,20,25,45,39,41,1,12,13,24,7,1,11,18,110,2024,playoff +bostobr01,SF,LAC,3,0,10,2,4,0,0,2,4,1,2,1,1,2,1,0,0,0,2,5,2024,playoff +braunch01,SG,DEN,12,0,204,23,54,4,18,19,36,11,16,9,23,32,9,2,5,1,18,61,2024,playoff +brissos01,SF,BOS,10,0,55,6,11,2,2,4,9,2,4,3,11,14,0,3,2,1,2,16,2024,playoff +brownja02,SF,BOS,19,19,707,175,339,36,110,139,229,68,103,22,91,113,62,23,12,51,51,454,2024,playoff +brownke03,SG,IND,7,0,25,2,6,0,0,2,6,0,0,0,3,3,2,0,1,3,2,4,2024,playoff +brownko01,PF,LAC,3,0,10,0,0,0,0,0,0,0,0,1,1,2,0,0,0,0,1,0,2024,playoff +brunsja01,PG,NYK,13,13,518,151,340,26,84,125,256,93,120,8,35,43,97,10,2,35,26,421,2024,playoff +bryanth01,C,MIA,2,0,18,5,7,0,2,5,5,2,3,2,3,5,1,0,0,2,1,12,2024,playoff +burksal01,SG,NYK,6,0,121,25,50,12,28,13,22,27,32,4,16,20,6,1,1,0,6,89,2024,playoff +caldwke01,SG,DEN,12,12,420,34,86,18,55,16,31,11,11,5,30,35,31,17,5,10,37,97,2024,playoff +cartewe01,C,ORL,7,5,185,19,47,7,25,12,22,8,11,9,35,44,9,5,4,5,20,53,2024,playoff +coffeam01,SF,LAC,6,3,112,7,22,3,11,4,11,0,0,2,8,10,2,2,1,5,6,17,2024,playoff +conlemi01,PG,MIN,15,15,474,62,145,30,76,32,69,20,28,10,48,58,86,21,3,20,38,174,2024,playoff +connapa01,SF,MIL,6,0,124,11,25,3,11,8,14,2,2,3,20,23,13,6,1,3,6,27,2024,playoff +crowdja01,PF,MIL,4,0,42,3,12,1,7,2,5,2,2,2,4,6,2,0,2,0,4,9,2024,playoff +daniedy01,PG,NOP,3,0,17,2,6,0,2,2,4,0,0,0,2,2,0,2,0,1,0,4,2024,playoff +davisan02,C,LAL,5,5,208,59,93,0,5,59,88,21,26,15,63,78,20,2,8,11,19,139,2024,playoff +diakima01,PF,NYK,4,0,15,0,3,0,2,0,1,2,2,0,3,3,1,1,1,1,3,2,2024,playoff +diengou01,PF,OKC,4,0,7,1,2,0,1,1,1,0,0,0,0,0,0,0,0,0,0,2,2024,playoff +dinwisp01,PG,LAL,5,0,73,5,14,2,8,3,6,3,6,1,6,7,8,2,1,1,7,15,2024,playoff +divindo01,SG,NYK,13,13,466,80,191,45,106,35,85,26,30,13,39,52,34,16,12,16,29,231,2024,playoff +doncilu01,PG,DAL,22,22,900,225,504,68,211,157,293,117,153,16,192,208,178,41,8,90,56,635,2024,playoff +dortlu01,SF,OKC,10,10,350,33,91,25,64,8,27,16,19,19,27,46,20,13,2,11,42,107,2024,playoff +duranke01,PF,PHO,4,4,168,37,67,5,12,32,55,28,34,1,25,26,13,2,6,10,8,107,2024,playoff +edwaran01,SG,MIN,16,16,649,156,324,46,115,110,209,83,102,18,94,112,104,24,9,52,37,441,2024,playoff +embiijo01,C,PHI,6,6,248,59,133,13,39,46,94,67,78,19,46,65,34,7,9,25,20,198,2024,playoff +eubandr01,C,PHO,3,0,37,7,12,0,0,7,12,3,3,0,4,4,0,2,1,2,6,17,2024,playoff +exumda01,PG,DAL,21,0,144,16,44,7,20,9,24,4,6,3,14,17,12,3,1,5,9,43,2024,playoff +fultzma01,PG,ORL,7,0,106,20,34,0,1,20,33,5,9,7,7,14,8,3,0,8,12,45,2024,playoff +gaffoda01,PF,DAL,22,22,445,78,123,0,0,78,123,41,65,42,80,122,15,6,33,19,38,197,2024,playoff +gallida01,SF,MIL,3,0,37,4,8,0,2,4,6,3,4,1,8,9,2,0,0,1,0,11,2024,playoff +garlada01,PG,CLE,12,12,432,73,171,25,71,48,100,17,21,1,42,43,69,13,2,27,33,188,2024,playoff +garzalu01,C,MIN,7,0,26,10,12,2,3,8,9,7,8,2,4,6,1,0,0,0,0,29,2024,playoff +georgpa01,PF,LAC,6,6,222,39,95,18,49,21,46,21,25,3,38,41,29,7,3,14,22,117,2024,playoff +giddejo01,SG,OKC,10,8,181,34,75,12,34,22,41,7,8,7,29,36,21,2,4,12,9,87,2024,playoff +gilgesh01,PG,OKC,10,10,399,111,224,16,37,95,187,64,81,8,64,72,64,13,17,22,31,302,2024,playoff +goberru01,C,MIN,15,15,512,64,104,0,0,64,104,53,79,40,107,147,24,14,15,23,55,181,2024,playoff +gordoaa01,PF,DEN,12,12,445,69,118,11,27,58,91,23,28,36,51,87,53,10,7,18,28,172,2024,playoff +gordoer01,SG,PHO,4,0,118,9,28,7,17,2,11,7,8,1,6,7,5,5,2,4,5,32,2024,playoff +greenaj01,SG,MIL,6,0,67,6,16,2,11,4,5,3,3,0,9,9,2,0,0,1,9,17,2024,playoff +greenjo02,SG,DAL,22,0,399,36,85,23,59,13,26,14,19,21,35,56,23,17,3,7,29,109,2024,playoff +hachiru01,PF,LAL,5,5,152,15,38,5,14,10,24,4,8,6,13,19,4,0,0,2,8,39,2024,playoff +halibty01,PG,IND,15,15,522,105,215,53,140,52,75,17,20,12,60,72,123,19,10,31,14,280,2024,playoff +hardati02,SF,DAL,14,0,178,22,58,13,37,9,21,4,8,2,23,25,5,5,1,2,10,61,2024,playoff +hardeja01,PG,LAC,6,6,242,40,89,18,47,22,42,29,32,3,24,27,48,6,6,14,13,127,2024,playoff +hardyja02,SG,DAL,19,0,129,29,68,11,27,18,41,11,15,2,13,15,17,3,0,7,13,80,2024,playoff +harriga01,SG,ORL,6,6,159,8,28,7,22,1,6,2,2,5,7,12,4,7,3,2,18,25,2024,playoff +harrito02,PF,PHI,6,6,218,22,51,6,18,16,33,4,4,9,34,43,9,1,3,3,11,54,2024,playoff +hartjo01,SF,NYK,13,13,548,66,150,22,59,44,91,35,48,37,113,150,59,13,10,34,41,189,2024,playoff +harteis01,C,NYK,13,13,388,45,76,1,2,44,74,19,22,49,53,102,46,4,12,19,41,110,2024,playoff +hausesa01,SF,BOS,19,0,283,36,84,27,71,9,13,4,4,8,33,41,11,5,3,3,20,103,2024,playoff +hawkijo01,SG,NOP,3,0,12,0,4,0,3,0,1,0,0,0,2,2,0,0,0,0,1,0,2024,playoff +hayesja02,C,LAL,4,0,24,0,2,0,0,0,2,1,2,3,9,12,1,0,0,2,7,1,2024,playoff +haywago01,SF,OKC,7,0,46,0,3,0,0,0,3,0,0,1,12,13,3,1,1,0,2,0,2024,playoff +herroty01,SG,MIA,5,5,185,30,78,15,43,15,35,9,10,0,18,18,27,2,0,14,10,84,2024,playoff +hieldbu01,SG,PHI,4,0,51,7,17,6,13,1,4,2,2,2,3,5,2,0,1,2,4,22,2024,playoff +highsha01,PF,MIA,5,0,126,10,28,3,16,7,12,1,1,2,12,14,8,1,1,4,14,24,2024,playoff +holidjr01,PG,BOS,19,19,720,97,193,35,87,62,106,21,22,37,79,116,83,21,12,29,40,250,2024,playoff +holidju01,SG,DEN,12,0,150,11,35,11,29,0,6,2,4,1,19,20,4,6,0,3,16,35,2024,playoff +holmgch01,C,OKC,10,10,345,59,119,13,50,46,69,25,33,14,58,72,21,7,25,19,26,156,2024,playoff +horfoal01,C,BOS,19,15,575,66,138,35,95,31,43,7,11,35,98,133,40,15,16,12,28,174,2024,playoff +houstca01,SF,ORL,3,0,14,1,2,1,2,0,0,0,0,1,1,2,0,0,0,0,0,3,2024,playoff +howarje01,SF,ORL,2,0,10,2,3,1,1,1,2,0,0,0,1,1,1,0,0,2,1,5,2024,playoff +hylanbo01,PG,LAC,3,0,12,3,7,1,5,2,2,4,4,0,2,2,4,0,0,1,0,11,2024,playoff +inglejo01,SF,ORL,7,0,68,4,12,2,7,2,5,1,2,2,11,13,12,3,0,0,3,11,2024,playoff +ingrabr01,SF,NOP,4,4,145,19,55,2,8,17,47,17,19,1,17,18,13,4,5,9,8,57,2024,playoff +irvinky01,SG,DAL,22,22,879,186,398,53,136,133,262,62,73,22,59,81,113,23,7,51,62,487,2024,playoff +isaacjo01,PF,ORL,7,3,147,16,39,10,27,6,12,2,2,10,24,34,3,5,9,4,7,44,2024,playoff +jacksan01,SG,MIL,5,0,60,5,11,2,6,3,5,0,0,5,6,11,10,5,1,3,10,12,2024,playoff +jacksis01,C,IND,15,0,154,23,43,0,0,23,43,11,18,21,27,48,7,3,13,4,24,57,2024,playoff +jacksre01,PG,DEN,12,0,117,16,48,8,23,8,25,2,2,2,13,15,12,2,1,8,12,42,2024,playoff +jamesle01,PF,LAL,5,5,204,56,99,10,26,46,73,17,23,4,30,34,44,12,5,19,11,139,2024,playoff +jaqueja01,SF,MIA,4,4,123,21,52,3,13,18,39,6,7,2,11,13,12,3,2,7,6,51,2024,playoff +jeffrda01,SG,NYK,4,0,20,3,8,2,5,1,3,0,0,1,3,4,0,1,0,0,2,8,2024,playoff +joeis01,SG,OKC,10,2,173,24,54,16,39,8,15,0,0,4,18,22,10,5,0,5,10,64,2024,playoff +johnsja01,PF,IND,1,0,1,0,0,0,0,0,0,1,2,0,0,0,0,0,0,1,0,1,2024,playoff +jokicni01,C,DEN,12,12,482,133,244,14,53,119,191,64,71,43,118,161,104,17,8,40,32,344,2024,playoff +jonesda03,C,CLE,2,0,9,0,0,0,0,0,0,0,0,1,1,2,2,0,1,2,0,0,2024,playoff +jonesde02,SF,DAL,22,22,647,77,160,24,65,53,95,22,30,33,43,76,27,11,21,18,54,200,2024,playoff +joneshe01,SF,NOP,4,4,141,16,41,8,24,8,17,12,12,6,14,20,10,5,1,11,15,52,2024,playoff 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+arcidry01,NYK,PG,20.0,0.0,45.0,0.0,6.0,0.0,6.0,0.0,0.0,0.0,0.0,0.0,8.0,8.0,4.0,2.0,0.0,2.0,5.0,0.0,2024,regular +cazalma01,DET,SG,1.0,0.0,3.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2024,regular +crutcja01,NOP,PG,1.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2024,regular +funkan01,CHI,SG,5.0,0.0,13.0,0.0,4.0,0.0,3.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,2024,regular +gateska01,NOP,SF,1.0,0.0,7.0,0.0,4.0,0.0,2.0,0.0,2.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,2024,regular +greenda02,PHI,SG,2.0,0.0,18.0,0.0,2.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,2.0,2.0,1.0,1.0,0.0,0.0,1.0,0.0,2024,regular +harpero02,TOR,PF,1.0,0.0,4.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,2.0,0.0,2024,regular +jacksju01,MIN,SF,2.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2024,regular +skapidm01,NYK,C,2.0,0.0,2.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2024,regular +smartja01,PHI,PG,1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,2024,regular diff --git a/nba_teams.py b/nba_teams.py new file mode 100644 index 0000000..be2b45e --- /dev/null +++ b/nba_teams.py @@ -0,0 +1,109 @@ +# nba_teams.py + +# class for looking team abbrev. from name and vice-versa +class NBATeams: + def __init__(self): + self.teams = { + "Atlanta Hawks": "ATL", # 1950 (year when first season ended) + "Boston Celtics": "BOS", # 1947 (year when first season ended) + "Brooklyn Nets": "NJN", # 1968 (year when first season ended) + "Charlotte Hornets": "CHA", # 1989 (year when first season ended) + "Chicago Bulls": "CHI", # 1967 (year when first season ended) + "Cleveland Cavaliers": "CLE", # 1971 (year when first season ended) + "Dallas Mavericks": "DAL", # 1981 (year when first season ended) + "Denver Nuggets": "DEN", # 1968 (year when first season ended) + "Detroit Pistons": "DET", # 1949 (year when first season ended) + "Golden State Warriors": "GSW", # 1947 (year when first season ended) + "Houston Rockets": "HOU", # 1968 (year when first season ended) + "Indiana Pacers": "IND", # 1968 (year when first season ended) + "Los Angeles Clippers": "LAC", # 1971 (year when first season ended) + "Los Angeles Lakers": "LAL", # 1949 (year when first season ended) + "Memphis Grizzlies": "MEM", # 1996 (year when first season ended) + "Miami Heat": "MIA", # 1989 (year when first season ended) + "Milwaukee Bucks": "MIL", # 1969 (year when first season ended) + "Minnesota Timberwolves": "MIN", # 1990 (year when first season ended) + "New Orleans Pelicans": "NOH", # 2003 (year when first season ended) + "New York Knicks": "NYK", # 1947 (year when first season ended) + "Oklahoma City Thunder": "OKC", # 1968 (year when first season ended) + "Orlando Magic": "ORL", # 1990 (year when first season ended) + "Philadelphia 76ers": "PHI", # 1950 (year when first season ended) + "Phoenix Suns": "PHO", # 1969 (year when first season ended) + "Portland Trail Blazers": "POR", # 1971 (year when first season ended) + "Sacramento Kings": "SAC", # 1949 (year when first season ended) + "San Antonio Spurs": "SAS", # 1968 (year when first season ended) + "Toronto Raptors": "TOR", # 1996 (year when first season ended) + "Utah Jazz": "UTA", # 1975 (year when first season ended) + "Washington Wizards": "WAS", # 1962 (year when first season ended) + } + + # more than 30 because diff. abbreviations due to chaning team names -- see https://www.basketball-reference.com/teams/ + self.team_abbrevs = { + # main abbreviations + 'ATL': "Atlanta Hawks", # 1950 (year when first season ended) + 'BOS': "Boston Celtics", # 1947 (year when first season ended) + 'NJN': "Brooklyn Nets", # 1968 (year when first season ended) + 'CHO': "Charlotte Hornets", # 1989 (year when first season ended) + 'CHI': "Chicago Bulls", # 1967 (year when first season ended) + 'CLE': "Cleveland Cavaliers", # 1971 (year when first season ended) + 'DAL': "Dallas Mavericks", # 1981 (year when first season ended) + 'DEN': "Denver Nuggets", # 1968 (year when first season ended) + 'DET': "Detroit Pistons", # 1949 (year when first season ended) + 'GSW': "Golden State Warriors", # 1947 (year when first season ended) + 'HOU': "Houston Rockets", # 1968 (year when first season ended) + 'IND': "Indiana Pacers", # 1968 (year when first season ended) + 'LAC': "Los Angeles Clippers", # 1971 (year when first season ended) + 'LAL': "Los Angeles Lakers", # 1949 (year when first season ended) + 'MEM': "Memphis Grizzlies", # 1996 (year when first season ended) + 'MIA': "Miami Heat", # 1989 (year when first season ended) + 'MIL': "Milwaukee Bucks", # 1969 (year when first season ended) + 'MIN': "Minnesota Timberwolves", # 1990 (year when first season ended) + 'NOH': "New Orleans Pelicans", # 2003 (year when first season ended) + 'NYK': "New York Knicks", # 1947 (year when first season ended) + 'OKC': "Oklahoma City Thunder", # 1968 (year when first season ended) + 'ORL': "Orlando Magic", # 1990 (year when first season ended) + 'PHI': "Philadelphia 76ers", # 1950 (year when first season ended) + 'PHO': "Phoenix Suns", # 1969 (year when first season ended) + 'POR': "Portland Trail Blazers", # 1971 (year when first season ended) + 'SAC': "Sacramento Kings", # 1949 (year when first season ended) + 'SAS': "San Antonio Spurs", # 1968 (year when first season ended) + 'TOR': "Toronto Raptors", # 1996 (year when first season ended) + 'UTA': "Utah Jazz", # 1975 (year when first season ended) + 'WAS': "Washington Wizards", # 1962 (year when first season ended) + + # other abbreviations for same teams due to team name change + "BRK": "Brooklyn Nets", # 2012-13 2024-25 + "NOP": "New Orleans Pelicans", # 2013-14 2024-25 + "SEA": "Seattle SuperSonics", # 1967-68 2007-08 + "CHA": "Charlotte Bobcats", # 2004-05 2013-14 + "NOK": "New Orleans/Oklahoma City Hornets", # 2005-06 2006-07 + } + + def get_abbreviation(self, team_name: str) -> str | None: + """ + Get team abbreviation from full name. + Returns None if team not found. + """ + return self.teams.get(team_name) + + def get_team_name(self, abbreviation: str) -> str | None: + """ + Get full team name from abbreviation. + Returns None if abbreviation not found. + """ + return self.team_abbrevs.get(abbreviation) + + def is_valid_team(self, team_name: str) -> bool: + """Check if a team name is valid.""" + return team_name in self.teams + + def is_valid_abbreviation(self, abbreviation: str) -> bool: + """Check if an abbreviation is valid.""" + return abbreviation in self.team_abbrevs + + def get_all_teams(self) -> list: + """Get a list of all team names.""" + return list(self.teams.keys()) + + def get_all_abbreviations(self) -> list: + """Get a list of all team abbreviations.""" + return list(self.teams.values()) \ No newline at end of file diff --git a/teams.html b/teams.html new file mode 100644 index 0000000..5c437d5 --- /dev/null +++ b/teams.html @@ -0,0 +1,1369 @@ + + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Active Franchises Table
+ Franchise + LgFromToYrsGWL + W/L%PlyfsDivConfChamp
Atlanta HawksNBA1949-502024-2576593929293010.493491201
Atlanta HawksNBA1968-692024-2557452122312290.49336600
St. Louis HawksNBA1955-561967-68131005553452.55012601
Milwaukee HawksNBA1951-521954-55428191190.3240000
Tri-Cities BlackhawksNBA1949-501950-5121325478.4091000
Boston CelticsNBA/BAA1946-472024-2579611636362480.59561341118
Brooklyn NetsNBA/ABA1967-682024-2558461420282586.44031522
Brooklyn NetsNBA2012-132024-2513966446520.4628000
New Jersey NetsNBA1977-782011-1235282211861636.42016420
New York NetsNBA1976-771976-771822260.2680000
New York NetsABA1968-691975-768666338328.5087102
New Jersey AmericansABA1967-681967-681783642.4620000
Charlotte Hornets + NBA1988-892024-2535271511751540.43310000
Charlotte HornetsNBA2014-152024-2511795340455.4281000
Charlotte BobcatsNBA2004-052013-1410804293511.3642000
Charlotte HornetsNBA1988-892001-02141116542574.4867000
Chicago BullsNBA1966-672024-2559468223842298.50936966
Cleveland Cavaliers + NBA1970-712024-2555435520342321.46724751
Dallas Mavericks + NBA1980-812024-2545354417981746.50725531
Denver NuggetsNBA/ABA1967-682024-2558461423672247.513391311
Denver NuggetsNBA1976-772024-2549387019541916.505301011
Denver NuggetsABA1974-751975-76216812543.7442200
Denver RocketsABA1967-681973-747576288288.5007100
Detroit PistonsNBA/BAA1948-492024-2577600028273173.471421153
Detroit PistonsNBA1957-582024-2568538125142867.46734953
Fort Wayne PistonsNBA/BAA1948-491956-579619313306.5068200
Golden State + Warriors + NBA/BAA1946-472024-2579610529713134.487371277
Golden State WarriorsNBA1971-722024-2554427320832190.48720775
San Francisco WarriorsNBA1962-631970-719729330399.4535200
Philadelphia WarriorsNBA/BAA1946-471961-62161103558545.50612302
Houston RocketsNBA1967-682024-2558460823702238.51434842
Houston RocketsNBA1971-722024-2554428022512029.52633842
San Diego RocketsNBA1967-681970-714328119209.3631000
Indiana PacersNBA/ABA1967-682024-2558461423582256.51137913
Indiana PacersNBA1976-772024-2549387019311939.49928610
Indiana PacersABA1967-681975-769744427317.5749303
Los Angeles Clippers + NBA1970-712024-2555436118432518.42318300
Los Angeles ClippersNBA1984-852024-2541321313981815.43515300
San Diego ClippersNBA1978-791983-846492186306.3780000
Buffalo BravesNBA1970-711977-788656259397.3953000
Los Angeles Lakers + NBA/BAA1948-492024-2577600635522454.59164331917
Los Angeles LakersNBA1960-612024-2565516730952072.59953291912
Minneapolis LakersNBA/BAA1948-491959-6012839457382.54511405
Memphis Grizzlies + NBA1995-962024-253023139991314.43213200
Memphis GrizzliesNBA2001-022024-25241853898955.48513200
+ Franchise + LgFromToYrsGWL + W/L%PlyfsDivConfChamp
Vancouver GrizzliesNBA1995-962000-016460101359.2200000
Miami HeatNBA1988-892024-2537288615211365.527251673
Milwaukee BucksNBA1968-692024-2557452723902137.528361932
Minnesota + Timberwolves + NBA1989-902024-2536279611481648.41112100
New Orleans Pelicans + NBA2002-032024-25231770833937.4719100
New Orleans PelicansNBA2013-142024-2512884414470.4684000
NO/Ok. City HornetsNBA2005-062006-0721647787.4700000
New Orleans HornetsNBA2002-032012-139722342380.4745100
New York KnicksNBA/BAA1946-472024-2579610729753132.48745842
Oklahoma City + Thunder + NBA1967-682024-2558460724712136.536331241
Oklahoma City ThunderNBA2008-092024-25171277726551.56911610
Seattle SuperSonicsNBA1967-682007-0841333017451585.52422631
Orlando MagicNBA1989-902024-2536280513171488.47017720
Philadelphia 76ers + NBA1949-502024-2576594331012842.522541253
Philadelphia 76ersNBA1963-642024-2562493025252405.51240952
Syracuse NationalsNBA1949-501962-63141013576437.56914301
Phoenix SunsNBA1968-692024-2557452724302097.53733830
Portland Trail + Blazers + NBA1970-712024-2555436422922072.52537631
Sacramento Kings + NBA/BAA1948-492024-2577600627483258.45830601
Sacramento KingsNBA1985-862024-2540313113421789.42911300
Kansas City KingsNBA1975-761984-8510820381439.4654100
Kansas City-Omaha KingsNBA1972-731974-753246113133.4591000
Cincinnati RoyalsNBA1957-581971-72151189555634.4677000
Rochester RoyalsNBA/BAA1948-491956-579620357263.5767201
San Antonio Spurs + NBA/ABA1967-682024-2558461226831929.582472265
San Antonio SpursNBA1976-772024-2549386823051563.596392265
San Antonio SpursABA1973-741975-763252146106.5793000
Texas ChaparralsABA1970-711970-711843054.3571000
Dallas ChaparralsABA1967-681972-735408202206.4954000
Toronto RaptorsNBA1995-962024-2530231210971215.47413711
Utah JazzNBA1974-752024-2551403421771857.540311120
Utah JazzNBA1979-802024-2546362420161608.556311120
New Orleans JazzNBA1974-751978-795410161249.3930000
Washington Wizards + NBA1961-622024-2564508822722816.44730841
Washington WizardsNBA1997-982024-252821478941253.4169100
Washington BulletsNBA1974-751996-97231886887999.47013231
Capital BulletsNBA1973-741973-741824735.5731100
Baltimore BulletsNBA1963-641972-7310813401412.4937410
Chicago ZephyrsNBA1962-631962-631802555.3130000
Chicago PackersNBA1961-621961-621801862.2250000
+ + +
+ + + \ No newline at end of file diff --git a/test_nba_teams.py b/test_nba_teams.py new file mode 100644 index 0000000..6ddb7b4 --- /dev/null +++ b/test_nba_teams.py @@ -0,0 +1,65 @@ +import unittest +from nba_teams import NBATeams # Assuming the previous code is saved in nba_teams.py + +class TestNBATeams(unittest.TestCase): + def setUp(self): + """Create a fresh NBATeams instance for each test.""" + self.nba = NBATeams() + + def test_get_abbreviation(self): + """Test getting abbreviations from team names.""" + self.assertEqual(self.nba.get_abbreviation('Boston Celtics'), 'BOS') + self.assertEqual(self.nba.get_abbreviation('Los Angeles Lakers'), 'LAL') + self.assertIsNone(self.nba.get_abbreviation('Invalid Team')) + self.assertIsNone(self.nba.get_abbreviation('')) + + def test_get_team_name(self): + """Test getting team names from abbreviations.""" + self.assertEqual(self.nba.get_team_name('GSW'), 'Golden State Warriors') + self.assertEqual(self.nba.get_team_name('MIA'), 'Miami Heat') + self.assertIsNone(self.nba.get_team_name('ABC')) + self.assertIsNone(self.nba.get_team_name('')) + + def test_is_valid_team(self): + """Test team name validation.""" + self.assertTrue(self.nba.is_valid_team('Miami Heat')) + self.assertTrue(self.nba.is_valid_team('Brooklyn Nets')) + self.assertFalse(self.nba.is_valid_team('Brook Nets')) + self.assertFalse(self.nba.is_valid_team('Invalid Team')) + self.assertFalse(self.nba.is_valid_team('')) + # Test case sensitivity + self.assertFalse(self.nba.is_valid_team('MIAMI HEAT')) + + def test_is_valid_abbreviation(self): + """Test abbreviation validation.""" + self.assertTrue(self.nba.is_valid_abbreviation('LAL')) + self.assertTrue(self.nba.is_valid_abbreviation('BOS')) + self.assertFalse(self.nba.is_valid_abbreviation('ABC')) + self.assertFalse(self.nba.is_valid_abbreviation('')) + # Test case sensitivity + self.assertFalse(self.nba.is_valid_abbreviation('lal')) + + def test_get_all_teams(self): + """Test retrieving all team names.""" + all_teams = self.nba.get_all_teams() + self.assertIsInstance(all_teams, list) + self.assertEqual(len(all_teams), 30) + self.assertIn('Boston Celtics', all_teams) + self.assertIn('Los Angeles Lakers', all_teams) + + def test_get_all_abbreviations(self): + """Test retrieving all abbreviations.""" + all_abbrevs = self.nba.get_all_abbreviations() + self.assertIsInstance(all_abbrevs, list) + self.assertEqual(len(all_abbrevs), 30) + self.assertIn('BOS', all_abbrevs) + self.assertIn('LAL', all_abbrevs) + + def test_bidirectional_lookup(self): + """Test that lookups work in both directions.""" + team_name = 'Miami Heat' + abbrev = self.nba.get_abbreviation(team_name) + self.assertEqual(self.nba.get_team_name(abbrev if abbrev else ""), team_name) + +if __name__ == '__main__': + unittest.main() \ No newline at end of file