Zuffa historical data

Zuffa is 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 2026-09-14 · series slug zuffa

Markets
1
Resolved
1
Traded volume
$750.6K
Avg volume / market
$750.6K
Cadence
daily
Coverage from
2026-09-12
Data through
2026-09-13
Category
Sports

The market in this series

Zuffa Boxing: Garcia vs. Benn (Welterweight, Main)

closed 2026-09-13 · volume $750.6K · resolved Garcia

Backtest this series

python
from marketlens import MarketLens client = MarketLens() result = client.backtest( MyStrategy(), "zuffa", after="2026-09-12", before="2026-09-14", initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

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, MLB, ATP, UEFA Champions League 2025, WTA, UFC, or all sports series.

Try it

Pull Zuffa books in one call

The free tier includes 25M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens