MLBPolymarket historical data and price history

MLB: a Polymarket sports series with markets recurring daily. Marketlens has captured 56,155 markets since June 19, 2026, of which 55,993 resolved, with $164.8M in traded volume. Order books are stored at full depth, with every individual price change captured at millisecond resolution on the most actively traded markets, alongside trades, candles, and the final resolution outcome.

For the sports archive as a whole, see Polymarket sports odds history.

Data as of 2026-09-17 · Polymarket series MLB · slug mlb

Markets
56,155
Resolved
55,993
Traded volume
$164.8M
Avg volume / market
$17.7K
Cadence
daily
Coverage from
2026-06-19
Data through
2026-09-17
Category
Sports

Markets by bet type

total:f54,359
spread3,297
total2,797
spread:f52,111
moneyline1,144

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 56,155 markets.

Will there be a run scored in the first inning?: San Diego Padres vs. Colorado Rockies

closed 2026-09-17 · volume $48 · resolved Yes

Athletics vs. Tampa Bay Rays

closed 2026-09-17 · volume $64.6K · resolved Tampa Bay Rays

Will there be a run scored in the first inning?: Athletics vs. Tampa Bay Rays

closed 2026-09-17 · volume $138 · resolved No

Backtest this series

python
from marketlens import MarketLens client = MarketLens() result = client.backtest( MyStrategy(), "mlb", subtype="moneyline", after="2026-09-10", before="2026-09-18", 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 MLB markets are in the archive?

56,155 markets from June 19, 2026 through September 17, 2026, of which 55,993 have resolved and 162 are active.

What data exists for each MLB market?

Full depth L2 order book snapshots at regular intervals, individual trades, OHLC candles, and the resolution outcome, with the full price change stream at millisecond resolution on the most actively traded markets in the series. All of it is queryable by the series slug "mlb" through the API and Python SDK, or downloadable as Parquet.

How much does a typical MLB market trade?

Average traded volume is $17.7K per market, $164.8M across the series.

Can I backtest strategies on MLB?

Yes. Pass the slug "mlb" 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: FIFA World Cup, ATP, UEFA Champions League 2025, WTA, NFL 2026, UFC, or all sports series.

Try it

Pull MLB books in one call

The free tier includes 1M rows per day with full API and full archive access, no card required.

bash
$ pip install marketlens