Nike Liga historical data
Nike Liga is a Polymarket sports series with markets recurring daily. Marketlens has captured 181 markets since August 2, 2026, of which 181 resolved, with $27.5K 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 2026-08-05 · series slug soccer-svk1
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.
Recent markets in this series
- KFC Komárno vs. FC Spartak Trnava: O/U 8.5 Total Corners
- KFC Komárno vs. FC Spartak Trnava: FC Spartak Trnava O/U 4.5 Corners
- KFC Komárno vs. FC Spartak Trnava: FC Spartak Trnava O/U 2.5
Backtest this series
from marketlens import MarketLens
client = MarketLens()
result = client.backtest(
MyStrategy(), "soccer-svk1", subtype="total",
after="2026-08-02", before="2026-08-06", initial_cash=1_000,
)
result.show() # inspect the run in the dashboardAvailable datasets
Common questions
How many Nike Liga markets are in the archive?
181 markets from August 2, 2026 through August 5, 2026, of which 181 have resolved.
What data exists for each Nike Liga 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-svk1" through the API and Python SDK, or downloadable as Parquet.
How much does a typical Nike Liga market trade?
Average traded volume is $573 per market, $27.5K across the series.
Can I backtest strategies on Nike Liga?
Yes. Pass the slug "soccer-svk1" 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. "total") to backtest one type at a time.
Related series: FIFA World Cup, MLB, ATP, WTA, UFC, MLS 2025, or all sports series.
Try it
Replay Nike Liga tick by tick
The free tier includes 5M events per day with full API and full archive access, no card required.
$ pip install marketlens