KBLPolymarket historical data and price history

KBL: a Polymarket sports series with markets recurring daily. Marketlens has captured 22 markets since October 20, 2026, of which 22 resolved, with $578.3K 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 KBL · slug kbl

Markets
22
Resolved
22
Traded volume
$578.3K
Avg volume / market
$26.3K
Cadence
daily
Coverage from
2026-10-20
Data through
now
Category
Sports

Markets by bet type

moneyline8
spread7
total7

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 22 markets.

Daegu Pegasus vs. Seoul Thunders

closed 2026-10-25 · volume $72.0K · resolved Seoul Thunders

Anyang vs. Wonju DB Promy

closed 2026-10-25 · volume $45.5K · resolved Wonju DB Promy

Goyang vs. KCC Egis

closed 2026-10-24 · volume $58.6K · resolved Goyang

Backtest this series

python
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(), "kbl", subtype="moneyline", after=end - timedelta(minutes=15), before=end, initial_cash=1_000, ) result.show() # inspect the run in the dashboard

Available datasets

Order book snapshots and deltasfull L2 depth, millisecond price changes
Tradesindividual fills with side and size
CandlesOHLC at multiple resolutions
Bulk Parquet exportsfull markets for offline research
Backtestingtick level replay with realistic fills

Common questions

How many KBL markets are in the archive?

22 markets from October 20, 2026 through now, of which 22 have resolved.

What data exists for each KBL 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 "kbl" through the API and Python SDK, or downloadable as Parquet.

How much does a typical KBL market trade?

Average traded volume is $26.3K per market, $578.3K across the series.

Can I backtest strategies on KBL?

Yes. Pass the slug "kbl" 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 KBL books in one call

The free tier includes 2M data rows and every market open in the last 7 days, no card required.

bash
$ pip install marketlens