Polymarket sports markets
Polymarket runs per game markets across the major leagues: moneylines, totals, spreads, and in game props for MLB, NBA, NFL, NHL, ATP and WTA tennis, UFC, and soccer competitions. Odds move continuously from listing through the final whistle, and the order book records how the market digested every scoring play.
Marketlens captures the full order book for every game, so line movement survives at millisecond resolution: opening prices, pre game drift, in game repricing. Polymarket's own API serves only the live book; this archive is the historical record.
This page lists the sports series in the catalog. For what the sports archive holds and how to pull it, see Polymarket sports odds history.
Data as of 2026-09-17
All sports series
FIFA World Cup
daily · 14,077 markets · $1.5B
MLB
daily · 56,155 markets · $164.8M
ATP
daily · 43,417 markets · $112.1M
UEFA Champions League 2025
daily · 471 markets · $60.0M
WTA
daily · 21,824 markets · $53.7M
NFL 2026
daily · 9,022 markets · $37.3M
UFC
weekly · 1,282 markets · $23.2M
CFB 2026
daily · 7,675 markets · $17.6M
UEFA Europa League 2025
daily · 147 markets · $10.3M
WNBA
daily · 554 markets · $6.8M
EFL Cup
daily · 51 markets · $6.7M
FA Community Shield
daily · 36 markets · $5.2M
MLS 2025
daily · 1,642 markets · $3.8M
Club Friendlies
daily · 649 markets · $2.1M
Süper Lig 2025
daily · 152 markets · $1.8M
Query this category
from marketlens import MarketLens
client = MarketLens()
for market in client.markets.list(category="Sports", subtype="moneyline", take=50):
print(market.question, market.winning_outcome)
# the order book of any market, at any moment of its life
[market] = client.markets.list(
series_id="soccer-fifwc", status="resolved", take=1,
)
book = client.orderbook.get(market.id, at=market.close_time)
print(book.best_bid, book.best_ask, book.midpoint)Common questions
How many Polymarket sports markets does Marketlens have data for?
The archive covers 166,181 sports markets across 76 recurring series, of which 161,636 have resolved. Coverage runs from June 19, 2026 through September 17, 2026.
What data is available for each sports market?
Most markets have full L2 order book history (snapshots plus every price change with millisecond timestamps), trades, and candles; the longest dated books carry full depth snapshots at regular intervals alongside their trades and candles. Every market stores its final resolution outcome. Data is served through the REST API and Python SDK, with bulk Parquet exports for offline work.
How much do these markets trade?
Combined traded volume across the category is $2.0B. Per series volumes are listed in the table on this page.
Can I backtest strategies on sports markets?
Yes. Pass any series slug from this page to client.backtest() in the Python SDK. Execution mode replays the order books tick by tick and fills simulated orders against real depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows.
Other categories: crypto, weather, esports, or the full catalog.
Try it
Pull sports books in one call
The free tier includes 1M rows per day with full API and full archive access, no card required.
$ pip install marketlens