Liga 1Polymarket historical data and price history
Liga 1: a Polymarket sports series with markets recurring daily. Marketlens has captured 135 markets since October 23, 2026, of which 133 resolved, with $520.0K in traded volume. Every market's order book is captured as full depth L2 snapshots at regular intervals, alongside trades, candles, and the final resolution outcome.
For the sports archive as a whole, see Polymarket sports odds history.
Data as of 2026-10-26 · Polymarket series Liga 1 · slug liga-1
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 135 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(), "liga-1", 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 Liga 1 markets are in the archive?
135 markets from October 23, 2026 through now, of which 133 have resolved and 2 are active.
What data exists for each Liga 1 market?
Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome. All of it is queryable by the series slug "liga-1" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Liga 1 market trade?
Average traded volume is $5.6K per market, $520.0K across the series.
Can I backtest strategies on Liga 1?
Yes. Pass the slug "liga-1" 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: ATP, MLB, WTA, NFL 2026, Premier League 2025, NBA 2026, or all sports series.
Try it
Pull Liga 1 books in one call
The free tier includes 2M data rows and every market open in the last 7 days, no card required.
$ pip install marketlens