NBLPolymarket historical data and price history

NBL: a Polymarket sports series with markets recurring daily. Marketlens has captured 18 markets since October 22, 2026, of which 18 resolved, with $397.1K 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 NBL · slug nbl

Markets
18
Resolved
18
Traded volume
$397.1K
Avg volume / market
$22.1K
Cadence
daily
Coverage from
2026-10-22
Data through
now
Category
Sports

Markets by bet type

moneyline6
spread6
total6

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 18 markets.

Melbourne United vs. Sydney Kings

closed 2026-10-25 · volume $121.3K · resolved Melbourne United

Cairns Taipans vs. New Zealand Breakers

closed 2026-10-25 · volume $45.2K · resolved Cairns Taipans

South East Melbourne Phoenix vs. Adelaide 36ers

closed 2026-10-24 · volume $15.4K · resolved South East Melbourne Phoenix

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(), "nbl", 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 NBL markets are in the archive?

18 markets from October 22, 2026 through now, of which 18 have resolved.

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

How much does a typical NBL market trade?

Average traded volume is $22.1K per market, $397.1K across the series.

Can I backtest strategies on NBL?

Yes. Pass the slug "nbl" 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 NBL 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