International Cricket historical data
International Cricket is a Polymarket sports series with markets recurring daily. Marketlens has captured 27 markets since August 13, 2026, of which 24 resolved, with $898.1K in traded volume. 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.
Data as of 2026-09-11 · series slug international-cricket
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 27 markets.
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "international-cricket", subtype="moneyline",
after="2026-08-27", before="2026-09-04", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many International Cricket markets are in the archive?
27 markets from August 13, 2026 through September 3, 2026, of which 24 have resolved and 3 are active.
What data exists for each International Cricket 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 "international-cricket" through the API and Python SDK, or downloadable as Parquet.
How much does a typical International Cricket market trade?
Average traded volume is $34.5K per market, $898.1K across the series.
Can I backtest strategies on International Cricket?
Yes. Pass the slug "international-cricket" 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, MLB, ATP, UEFA Champions League 2025, WTA, UFC, or all sports series.
Try it
Pull International Cricket books in one call
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens