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Polymarket Tennis Data

Every Polymarket Tennis market since 2026-05-01, tick by tick: order books, trades, and on-chain fills for ATP, WTA and ITF matches and Grand Slam futures.

2,000+
events
16,000+
markets
2026-05-01
data since
End point
/v1/polymarket/l2/{YYYY/MM/DD}/{market_slug}.parquet
/v1/polymarket/trades/{YYYY/MM/DD}/{market_slug}.parquet
/v1/polymarket/onchain_fills/{YYYY/MM/DD}/{market_slug}.parquet

Polymarket Tennis datasets

Part of Polymarket sports data. Column definitions are in the data schemas.

Polymarket Tennis data coverage
CoverageEvery Polymarket Tennis market since 2026-05-01, published daily
Events and markets2,000+ events and 16,000+ markets (Polymarket, as of 2026-10-15)
Market typesMatch and set winners, set and game totals, set handicaps on the ATP, WTA and ITF tours, and Grand Slam winner futures
Examples2026 Men's French Open Winner · 2026 Women's Wimbledon Winner · Roland Garros ATP: Flavio Cobolli vs Alexander Zverev
Data typesl2 (book, price_change, tick_size_change, market_resolved), trades, onchain_fills
CollectionAWS London, the same region as Polymarket; median collection latency 4.6 ms

More sports data

Download Polymarket Tennis data

import pandas as pd

url = "https://api.pmdata.dev/v1/polymarket/l2/"
url += "2026/06/07/atp-cobolli-zverev-2026-06-07.parquet"

df = pd.read_parquet(url, storage_options={"api_key": "<YOUR_API_KEY>", "User-Agent": "Mozilla/5.0"})
print(df.head())

Frequently asked questions