NPBPolymarket historical data and price history

NPB: a Polymarket sports series with markets recurring daily. Marketlens has captured 3 markets since September 22, 2026, of which 3 resolved, with $65.7K 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 2026-10-12 · Polymarket series NPB · slug npb

Markets
3
Resolved
3
Traded volume
$65.7K
Avg volume / market
$21.9K
Cadence
daily
Coverage from
2026-09-22
Data through
now
Category
Sports

Resolution outcomes

Fukuoka SoftBank Hawks1 (33.3%)
Tohoku Rakuten Golden Eagles1 (33.3%)
Saitama Seibu Lions1 (33.3%)

Outcomes across 3 resolved markets with a recorded winning outcome. Settlement in the archive is by winning outcome, not by final traded price.

Markets in this series

Tohoku Rakuten Golden Eagles vs. Fukuoka SoftBank Hawks

closed 2026-10-10 · volume $24.2K · resolved Tohoku Rakuten Golden Eagles

Chiba Lotte Marines vs. Fukuoka SoftBank Hawks

closed 2026-10-11 · volume $19.6K · resolved Fukuoka SoftBank Hawks

Chiba Lotte Marines vs. Saitama Seibu Lions

closed 2026-10-10 · volume $21.9K · resolved Saitama Seibu Lions

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(), "npb", 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 NPB markets are in the archive?

3 markets from September 22, 2026 through now, of which 3 have resolved.

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

How much does a typical NPB market trade?

Average traded volume is $21.9K per market, $65.7K across the series.

Can I backtest strategies on NPB?

Yes. Pass the slug "npb" 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.

Related series: FIFA World Cup, ATP, MLB, WTA, NFL 2026, Premier League 2025, or all sports series.

Try it

Pull NPB 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