ZuffaPolymarket historical data and price history
Zuffa: a Polymarket sports series with markets recurring daily. Marketlens has captured 1 market since September 12, 2026, of which 1 resolved, with $750.6K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.
For the sports archive as a whole, see Polymarket sports odds history.
Data as of 2026-10-12 · Polymarket series Zuffa · slug zuffa
The market in this series
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(2026, 9, 14, tzinfo=timezone.utc)
result = client.backtest(
MyStrategy(), "zuffa",
after=end - timedelta(days=1), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Zuffa markets are in the archive?
1 markets from September 12, 2026 through September 13, 2026, of which 1 have resolved.
What data exists for each Zuffa market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "zuffa" through the API and Python SDK, or downloadable as Parquet.
Can I backtest strategies on Zuffa?
Yes. Pass the slug "zuffa" 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.
Related series: FIFA World Cup, ATP, MLB, WTA, NFL 2026, Premier League 2025, or all sports series.
Try it
Pull Zuffa 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