altsportsdata 2.2.1

The data feed for alternative sports betting — odds, events, futures for 30 leagues

AltSportsData SDK

Alternative sports odds & data for sportsbooks, DFS platforms, and prediction markets.

30 leagues. Every market type. One call to see everything available.

pip install altsportsdata

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One Call — All Available Markets

from altsportsdata import AltSportsData

client = AltSportsData(api_key="your_key")

for market in client.get_markets():
    print(f"\n{market['event_name']} ({market['league']})")
    for o in market['outcomes'][:5]:
        print(f"  {o['athlete']:25} {o['probability']:5.1f}%  ({o['odds']:.2f})")

Indianapolis (spr)
  Eli Tomac                49.4%  (2.02)
  Hunter Lawrence           37.6%  (2.66)
  Ken Roczen                23.5%  (4.26)
  Cooper Webb               14.6%  (6.84)
  Joey Savatgy               6.2%  (16.20)

That's it. Live odds, upcoming odds, or historical results — all with prices included. No second fetch.

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For Prediction Markets (Kalshi, Polymarket)

client = AltSportsData(api_key="your_key")

# Browse all available contracts with probabilities
for market in client.get_markets():
    print(f"\n{market['event_name']}")
    for o in market['outcomes']:
        print(f"  {o['athlete']:25} {o['probability']:5.1f}%")
        # → outcome_id included for contract creation

For DFS Platforms (PrizePicks, Underdog)

client = AltSportsData(api_key="your_key")

# Head-to-head matchups — ready for pick'em
for market in client.get_markets():
    for h2h in market['matchups']:
        print(f"  {h2h['player1']} ({h2h['odds1']:.2f})"
              f"  vs  {h2h['player2']} ({h2h['odds2']:.2f})")

Cooper Webb (2.31)  vs  Ken Roczen (1.57)
Eli Tomac (1.66)  vs  Hunter Lawrence (2.13)

For Sportsbooks (DraftKings, Bet365, Stake)

client = AltSportsData(api_key="your_key")

# Full moneylines for a specific event
spr = client.get_league("spr")
events = spr.list_events(status="upcoming")
odds = spr.get_moneylines(events[0].id)

for o in sorted(odds["eventWinner"], key=lambda x: x["odds"])[:10]:
    ath = o["athlete"]
    print(f'{ath["firstName"]} {ath["lastName"]:20} {o["odds"]:.2f}')

# Same Game Parlay
picks = [o["id"] for o in odds["eventWinner"][:2]]
parlay = spr.calculate_parlay(events[0].id, picks=picks)

Historical Results & Settlement

wsl = AltSportsData(api_key="your_key", league="wsl")

for market in wsl.get_markets(status="completed"):
    print(f"\n{market['event_name']}")
    for o in market['outcomes'][:5]:
        tag = "✅" if o.get("settlement") == "WIN" else "  "
        print(f"  {tag} {o['athlete']:25} {o['odds']:5.2f}  → {o.get('settlement', '')}")

Lexus Pipe Challenger
     Molly Picklum             3.50  → LOSE
     Caitlin Simmers           3.88  → LOSE
     Erin Brooks               5.49  → LOSE
  ✅ Gabriela Bryan             6.46  → WIN
     Bettylou Johnson          9.90  → LOSE

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Full API Reference

Setup

from altsportsdata import AltSportsData

# General client — all leagues
client = AltSportsData(api_key="your_key")

# League-scoped client — auto-filters everything
wsl = client.get_league("wsl")
f1  = client.get_league("f1")
spr = client.get_league("spr")

# Or set league directly
wsl = AltSportsData(api_key="your_key", league="wsl")

Markets (one call, prices included)

client.get_markets()                          # upcoming with odds (default)
client.get_markets(status="live")             # live events with odds
client.get_markets(status="completed")        # historical with settlement
client.get_markets(status=["live","upcoming"])  # all active

Events

client.list_events(status="upcoming")
client.list_events(status="live")
client.list_events(status="completed")
client.list_events(status=["live", "upcoming"])
client.get_event("event_id")
client.get_participants("event_id")
client.get_heat_scores("event_id", "heat_id")

Odds (per event)

# Sportsbook
client.get_moneylines("event_id")         # event winner
client.get_matchups("event_id")           # head-to-head
client.get_totals("event_id")             # over/under
client.get_exactas("event_id", n=2)       # exacta
client.get_podiums("event_id")            # top-3
client.get_shows("event_id")              # shows
client.get_heat_winners("event_id")       # heat winner
client.get_fastest_lap("event_id")        # fastest lap
client.get_dream_team("event_id")         # dream team

# Prediction market
client.get_market_probabilities("event_id")
client.get_podium_probabilities("event_id")
client.get_top_finish_probabilities("event_id", top_n=5)

# DFS
client.get_player_props("event_id")
client.get_player_matchups("event_id")
client.get_player_totals("event_id", stat="points")

# Generic — any market by name or alias
client.get_odds("event_id", "moneyline")  # aliases: "h2h", "props", "totals"

Parlays

odds = client.get_moneylines("event_id")
picks = [o["id"] for o in odds["eventWinner"][:2]]
parlay = client.calculate_parlay("event_id", picks=picks)

Futures

client.list_futures()
client.get_futures(tour="tour_id", type="winner")

Leagues

for lg in client.list_leagues():
    print(f"{lg.key:15} {lg.name}")

30 Leagues

Code	League	Code	League
wsl	World Surf League	pbr	Professional Bull Riders
sls	Street League Skateboarding	bkfc	Bare Knuckle FC
f1	Formula 1	motogp	MotoGP
spr	Supercross	mxgp	MXGP
nrx	Nitrocross	jaialai	Jai Alai
fdrift	Formula Drift	nll	National Lacrosse League
masl	Major Arena Soccer	nhra	NHRA Drag Racing
powerslap	Power Slap	dgpt	Disc Golf Pro Tour
worldoutlaws	World of Outlaws	usac	USAC Racing
xgame	X Games	motoamerica	MotoAmerica
hlrs	High Limit Racing	byb	BYB Extreme Fighting
athletesunlimited	Athletes Unlimited	lux	LUX Fight League
raf	Real American Freestyle	mltt	Major League Table Tennis
motocrs	Motocross	spectation	Spectation
gsoc	Global Soccer	sprmtcrs	Supermotocross

Links

• API Docs
• Swagger

License

MIT