League OnePolymarket historical data and price history
League One: a Polymarket sports series with markets recurring daily. Marketlens has captured 439 markets since October 3, 2026, of which 490 resolved, with $534.4K 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.
For the sports archive as a whole, see Polymarket sports odds history.
Data as of 2026-10-12 · Polymarket series League One · slug soccer-el1
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 490 markets.
Backtest this series
from datetime import datetime, timedelta, timezone
from marketlens import MarketLens, Strategy
class MyStrategy(Strategy):
def on_market_start(self, ctx, market, book):
ctx.buy_yes(size=10)
client = MarketLens()
end = datetime.now(timezone.utc) - timedelta(days=1)
result = client.backtest(
MyStrategy(), "soccer-el1", subtype="moneyline",
after=end - timedelta(minutes=15), before=end, initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many League One markets are in the archive?
439 markets from October 3, 2026 through now, of which 490 have resolved.
What data exists for each League One 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 "soccer-el1" through the API and Python SDK, or downloadable as Parquet.
How much does a typical League One market trade?
Average traded volume is $1.6K per market, $534.4K across the series.
Can I backtest strategies on League One?
Yes. Pass the slug "soccer-el1" 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, ATP, MLB, WTA, NFL 2026, Premier League 2025, or all sports series.
Try it
Replay League One tick by tick
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens