League of Legends historical data
League of Legends is a Polymarket esports series with markets recurring daily. Marketlens has captured 304 markets since August 15, 2026, of which 281 resolved, with $7.4M 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 2026-08-16 · series slug league-of-legends
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 304 markets.
Games Total: O/U 2.5
closed 2026-08-16 · resolved Under
Total Kills Over/Under 27.5 in Game 1?
closed 2026-08-16 · volume $7 · resolved Under
LoL: paiN Gaming vs Fluxo W7M - Game 1 Winner
closed 2026-08-16 · volume $1.9K · resolved paiN Gaming
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "league-of-legends", subtype="moneyline",
after="2026-08-15", before="2026-08-17", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many League of Legends markets are in the archive?
304 markets from August 15, 2026 through August 16, 2026, of which 281 have resolved and 23 are active.
What data exists for each League of Legends 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 "league-of-legends" through the API and Python SDK, or downloadable as Parquet.
How much does a typical League of Legends market trade?
Average traded volume is $28.6K per market, $7.4M across the series.
Can I backtest strategies on League of Legends?
Yes. Pass the slug "league-of-legends" 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: Dota 2, Counter Strike, Valorant, or all esports series.
Try it
Replay League of Legends tick by tick
The free tier includes 5M rows per day with full API and full archive access, no card required.
$ pip install marketlens