WNBAPolymarket historical data and price history
WNBA: a Polymarket sports series with markets recurring daily. Marketlens has captured 673 markets since August 15, 2026, of which 738 resolved, with $10.0M in traded volume. No new markets were collected from August 30, 2026 to September 17, 2026, so windows inside that gap return nothing. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.
For the sports archive as a whole, see Polymarket sports odds history.
Data as of 2026-09-28 · Polymarket series WNBA · slug wnba
No new markets were collected from August 30, 2026 to September 17, 2026, so windows inside that gap return nothing.
Markets by bet type
Market counts by bet type across the series. Pass any of these as subtype= to backtest that type on its own.
Markets in this series
The most recently resolved of 768 markets.
Backtest this series
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens, Strategy
class MyStrategy(Strategy):
def on_market_start(self, ctx, market, book):
ctx.buy_yes(size=10)
client = MarketLens()
end = datetime.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "wnba", subtype="moneyline",
after=end - timedelta(minutes=15), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many WNBA markets are in the archive?
673 markets from August 15, 2026 through now, of which 738 have resolved and 19 are active. No new markets were collected from August 30, 2026 to September 17, 2026, so windows inside that gap return nothing.
What data exists for each WNBA market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "wnba" through the API and Python SDK, or downloadable as Parquet.
How much does a typical WNBA market trade?
Average traded volume is $23.6K per market, $10.0M across the series.
Can I backtest strategies on WNBA?
Yes. Pass the slug "wnba" to client.backtest() in the Python SDK. Execution mode replays order books against real historical depth; Alpha mode, one bar per market, covers every market in the series and suits its longer horizons. This series mixes several bet types, so pass subtype= (e.g. "moneyline") to backtest one type at a time.
Related series: FIFA World Cup, NFL 2026, MLB, ATP, CFB 2026, UEFA Champions League 2025, or all sports series.
Try it
Pull WNBA books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens