Chinese Super League historical data
Chinese Super League is a Polymarket sports series with markets recurring daily. Marketlens has captured 40 markets since August 1, 2026, of which 40 resolved, with $875.8K 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 2026-08-16 · series slug chinese-super-league
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 40 markets.
Yunnan Yukun FC vs. Dalian Yingbo FC: 1st Half O/U 1.5
closed 2026-08-15 · volume $617 · resolved Under
Yunnan Yukun FC vs. Dalian Yingbo FC: Dalian Yingbo FC 2nd Half O/U 1.5
closed 2026-08-15 · volume $5 · resolved Under
Yunnan Yukun FC vs. Dalian Yingbo FC: 2nd Half O/U 2.5
closed 2026-08-15 · volume $5 · resolved Over
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "chinese-super-league", subtype="moneyline",
after="2026-08-08", before="2026-08-16", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Chinese Super League markets are in the archive?
40 markets from August 1, 2026 through August 15, 2026, of which 40 have resolved.
What data exists for each Chinese Super League market?
Full depth L2 order book snapshots at regular intervals and the resolution outcome, with the full price change stream, trades, and candles on the most actively traded markets in the series. All of it is queryable by the series slug "chinese-super-league" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Chinese Super League market trade?
Average traded volume is $21.9K per market, $875.8K across the series.
Can I backtest strategies on Chinese Super League?
Yes. Pass the slug "chinese-super-league" 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, WTA, UFC, FA Community Shield, or all sports series.
Try it
Pull Chinese Super League books in one call
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens