Skip to main content

A collection of sports analysis utility functions and API wrappers

Project description

lukhed_sports

A collection of sports analysis utility functions and API wrappers

Installation

pip install lukhed-sports

Available Wrappers and Classes

Drafkings Sportsbook Wrapper

Access live data from Draftkings Sportsbook via their API methods. Quick start information below. Full documentation coming. This class is still a work in progress.

Table of Contents

Instantiation

from lukhed_sports import DkSportsbook
api = DkSportsbook()

get_available_leagues

Provides valid league inputs for various methods.

leagues = api.get_available_leagues('basketball')
[
    "argentina - liga nacional de basquetbol",
    "australia - nbl",
    "brazil - nbb",
    "china - cba",
    "college basketball (m)",
    "college basketball (w)",
    "croatia premier league",
    "germany - bundesliga",
    "greece - basket league",
    "israel - super league (w)",
    "italy - lega 1",
    "korea - basketball league (w)",
    "nba",
    "turkey - bsl",
    "wnba"
]

get_spread_for_team

Provides the current spread and spread odds for the given team.

spread = api.get_spread_for_team('nfl', 'commanders')
{
    "spread": 5.5,
    "odds": {
        "american": "-108",
        "decimal": "1.92",
        "fractional": "25/27"
    }
}

get_gamelines_for_league

Provides all the gamelines available for a given league.

gamelines = api.get_gamelines_for_league('nfl')

Full example response

get_basic_touchdown_scorer_props

Provides all the basic td scoring props available, with various filter options.

td = api.get_basic_touchdown_scorer_props('college football', prop_type_filter='anytime', game_filter='notre dame')
[
    {
        "id": "0QA229129141#130806310_13L87637Q1477509025Q20",
        "marketId": "229129141",
        "label": "Jeremiah Smith",
        "displayOdds": {
            "american": "-140",
            "decimal": "1.71",
            "fractional": "5/7"
        },
        "trueOdds": 1.71428572,
        "outcomeType": "Anytime Scorer",
        "participants": [
            {
                "id": "786772",
                "name": "Jeremiah Smith",
                "type": "Player",
                "seoIdentifier": "Jeremiah Smith"
            }
        ],
        "sortOrder": 3001710,
        "tags": [
            "SGP",
            "1stFavorite"
        ],
        "metadata": {}
    },
    {
        "id": "0QA229129141#130806308_13L87637Q1709721529Q20",
        "marketId": "229129141",
        "label": "TreVeyon Henderson",
        "displayOdds": {
            "american": "-140",
            "decimal": "1.71",
            "fractional": "5/7"
        },
        "trueOdds": 1.71428572,
        "outcomeType": "Anytime Scorer",
        "participants": [
            {
                "id": "570977",
                "name": "TreVeyon Henderson",
                "type": "Player",
                "seoIdentifier": "TreVeyon Henderson"
            }
        ],
        "sortOrder": 3001710,
        "tags": [
            "SGP",
            "2ndFavorite"
        ],
        "metadata": {}
    },
    ...

ESPN NFL Stats Wrapper

Access team and player statistics from ESPN for the NFL. This wrapper provides functionality to retrieve team statistics, player rosters, player search, and detailed player statistics.

Partial documentation below. See examples.py in the repo for more.

Table of Contents

Instantiation

from lukhed_sports import EspnNflStats
espn = EspnNflStats()

Team Statistics

Get comprehensive team statistics for the NFL.

# Get all team stats for a specific season
stats = espn.get_all_teams_stats(2023, regular_or_offseason='regular')

# Get offensive stats summary for a team
offense_summary = espn.team_stats_get_ypg_summary('DET', ball_side='offense')

Player Search

Search for players with various filtering options, including fuzzy name matching.

# Basic search
players = espn.player_search('Mahomes')

# Advanced search with fuzzy matching
players = espn.player_search('Mahomes', fuzzy_search=True, fuzzy_threshold=80)

Player Statistics

Access detailed player statistics including career stats, game logs, and splits.

# Get overview stats (page: https://www.espn.com/nfl/player/_/id/3139477/patrick-mahomes)
player_overview = espn.get_player_stat_overview('Patrick Mahomes', team='KC')

# Get player career bio information (page: https://www.espn.com/nfl/player/bio/_/id/3139477/patrick-mahomes)
player_bio = espn.get_player_stat_bio('Patrick Mahomes')

# Get player game log for season (page: https://www.espn.com/nfl/player/gamelog/_/id/3139477/type/nfl/year/2023)
game_log = espn.get_player_stat_gamelog('Patrick Mahomes', season='2023')

# Get player statistical splits (page: https://www.espn.com/nfl/player/splits/_/id/3139477/patrick-mahomes)
splits = espn.get_player_stat_splits('Patrick Mahomes')

# Get college stats for a player (page: https://www.espn.com/nfl/player/gamelog/_/id/3916387/type/college-football)
college_stats = espn.get_player_stat_gamelog('jackson', last_name_search=True, team='bal', position='QB', 
                                             league='college')

Sportspage Feeds Wrapper

This class is a custom wrapper for the sportspagefeeds API.

It provides:

  • Management of api key -> You can store api key locally (by default) or with a private github repo so you can use the api efficiently across different hardware.
  • Optionally manage api limits (on by default)
  • Methods to utilize each endpoint from sportspagefeeds
  • Optionally validate input (on by default), to ensure you do not waste API calls
  • Methods to get valid inputs for each endpoint, as documentation is sparse
  • Methods to parse data returned by basic (non-paid) endpoints

Quick start information below. Full documentation for this class is in development.

API Key Management Locally

Instatiate without optional parameters and upon first use, the class will take you thru setup (copy and paste your Sportspage key)

api = SportsPage()

API Key Managment with Private Github Repo

Instantiate with option github parameters and Upon first use, class will take you thru setup (github token and Sportspage key). Future instantiation, just reference the github_project.

# 
api = SportsPage(
    config_file_preference='github', 
    github_project='any_project_name'
    )

Games

Get the games occuring today with basic schedule and odds information.

api.get_games('nfl')

See full example response see here.

Rankings

Get rankings for the given target.

rankings = api.get_rankings('ncaaf')

See full example response see here.

Check API Usage

Free tier of Sportspage is limited. You can check your api usage with this method.

api.check_api_limit()

# print to console
>>>
You have 15 api calls remaining
Your reset time is set for 20241230194114 US/Eastern
Your limit is 20

Response

{
    "limit": 20,
    "remaining": 15,
    "resetTime": "20250105194115",
    "lastCall": "20250105121251"
}

All Endpoints

api.get_games           # Get schedule/status of games
api.get_rankings        # Get rankings for various leagues    
api.get_teams           # Get teams in leagues/conferences
api.get_conferences     # Get conferences in leagues
api.get_game_by_id      # Get info about a game by its ID
api.get_odds            # Get odds for a game (requires paid tier)

Example responses

NFL Next Gen Stats Schedule

Access NFL schedule data from the Next Gen Stats API. This class provides methods to retrieve schedule information and game overviews.

Table of Contents

Instantiation

from lukhed_sports.nflSchedules import NextGenStatsSchedule
ngs = NextGenStatsSchedule(season='current')  # or specific season like 2023

Basic Usage

Get schedule data and regular season games:

# Get full schedule
schedule = ngs.get_schedule()

# Get regular season games for a specific team
lions_games = ngs.get_regular_season_games('DET')

# Change season
ngs.change_season(2022)

Game Data

Access specific game data and overviews:

# Get data for a specific game given team and week input
game_data = ngs.get_game_data('DET', 1)

# Get detailed game overview with stats given team and week input
game_overview = ngs.get_game_overview_for_team('DET', 1)

Team Information

Get a list of all NFL teams with their nicknames and abbreviations:

# Get all teams with their details
teams = ngs.get_all_teams()

# Example output
[
    {
        "nickname": "Lions",
        "abbreviation": "DET",
        "displayName": "Detroit Lions"
    },
    ...
]

Note: Team abbreviations should match those used on the NGS game center page: https://nextgenstats.nfl.com/stats/game-center-index

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lukhed_sports-0.9.5.tar.gz (54.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lukhed_sports-0.9.5-py3-none-any.whl (72.2 kB view details)

Uploaded Python 3

File details

Details for the file lukhed_sports-0.9.5.tar.gz.

File metadata

  • Download URL: lukhed_sports-0.9.5.tar.gz
  • Upload date:
  • Size: 54.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.9

File hashes

Hashes for lukhed_sports-0.9.5.tar.gz
Algorithm Hash digest
SHA256 d51d7ac3e1a3d547230484267f718f8dea453089abbd96ff3ea2afe5986a90c5
MD5 3d0ca5534047abac5d2395860d8973f5
BLAKE2b-256 421858930773702407df5d95c367891893076d7d77f3c7b026bb5cb1b74ac94f

See more details on using hashes here.

File details

Details for the file lukhed_sports-0.9.5-py3-none-any.whl.

File metadata

  • Download URL: lukhed_sports-0.9.5-py3-none-any.whl
  • Upload date:
  • Size: 72.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.9

File hashes

Hashes for lukhed_sports-0.9.5-py3-none-any.whl
Algorithm Hash digest
SHA256 a79c1641a045683df38383e2adf15d667623f7dcf6bc182b20c356416b15226d
MD5 e9020f3c3e7b7839bc83a0be675429b4
BLAKE2b-256 7d50cc1aa6aff85c0dbe28926f0efabcbffef72b27db7cd8bb09e5027c5df5ee

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page