Ligue 2 historical data
Ligue 2 is a Polymarket sports series with markets recurring daily. Marketlens has captured 3 markets since August 15, 2026, of which 3 resolved, with $59.6K in traded volume. Every market's order book is stored in full: periodic L2 snapshots plus every individual price change with a millisecond timestamp, alongside trades, candles, and the final resolution outcome.
Data as of 2026-09-04 · series slug ligue-2
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
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "ligue-2", subtype="moneyline",
after="2026-08-21", before="2026-08-29", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Ligue 2 markets are in the archive?
3 markets from August 15, 2026 through August 28, 2026, of which 3 have resolved.
What data exists for each Ligue 2 market?
Full L2 order book history (snapshots plus every price change at millisecond resolution), individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "ligue-2" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Ligue 2 market trade?
Average traded volume is $19.9K per market, $59.6K across the series.
Can I backtest strategies on Ligue 2?
Yes. Pass the slug "ligue-2" to client.backtest() in the Python SDK. Execution mode replays every market's order book tick by tick and fills simulated orders against real historical depth with queue priority, latency, and fee modelling; Alpha mode replays one bar per market for slower signals over long windows. 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, WNBA, or all sports series.
Try it
Replay Ligue 2 tick by tick
The free tier includes 25M rows per day with full API and full archive access, no card required.
$ pip install marketlens