Sports Prediction Market Data — Kalshi & Polymarket

Tick-by-tick trades and L2 order-book depth for 1,088 sports series on Kalshi & Polymarket — NFL game totals, FIFA World Cup, ATP/ITF tennis matches, MLB games. 112,594 series-days covering May 2025 – September 2026, sold as day bundles from €1.

Browse prediction bundles Most traded series →All prediction markets →

Series

1,088

Venues

Kalshi · Polymarket

Coverage

May 2025 – September 2026

Series-days

112,594

Trades (30d)

106,725,949

Turnover (30d)

$7.3B

Topics

Browse sports data by topic

Each topic hub lists its series per venue with 30-day activity (to 2026-09-13), coverage and FAQ.

NBANBA game spreads and totals WNBAWNBA spreads and totals NFLNFL spreads and totals MLB & BaseballMLB game winners NHLNHL spreads College FootballCollege Football spreads and totals College Basketballmen's and women's game lines SoccerPremier League FIFA World CupWorld Cup game winners Premier LeagueEPL game winners UEFA Club CompetitionsUCL BundesligaBundesliga moneylines

1,088 series · 2.75 TB

All sports series

Every live series in this topic, largest archive first. Each series page lists its exact coverage, day count and free samples; day bundles are bought in the shop calendar.

Series	Venue	Interval	Days	Coverage	Size	Price/day
MLB (games & props)	Polymarket	event	368	May 2025 – September 2026	118 GB	€1	Buy days
ATP Tennis (matches & props)	Polymarket	event	356	July 2025 – September 2026	112 GB	€1	Buy days
ITF Men's Match	Kalshi	event	156	April 2026 – September 2026	81.4 GB	€1	Buy days
League of Legends esports	Polymarket	event	366	September 2025 – September 2026	79.8 GB	€1	Buy days
Counter-Strike 2 esports	Polymarket	event

By venue

Sports activity per venue

Venue	Series	With stats	Trades (30d)	Turnover (30d)
Kalshi	992	791	97,393,897	$5.9B
Polymarket	96	95	9,332,052	$1.4B

30 days to 2026-09-13, from our own daily statistics per contract.

Daily activity

Sports prediction markets — trades and turnover per day

Every captured UTC day of the last 30, summed over the 1,088 sports series, from our own tick capture.

UTC day	Series with stats	Contracts traded	Trades	Turnover	Buy share	L2 updates
2026-09-13	734	40,235	6,204,909	$380.0M	64 %	1.3B
2026-09-12	740	42,675	3,710,423	$243.0M	64 %	1.1B
2026-09-11	741	27,088	2,709,757	$174.7M	65 %	773.3M
2026-09-10	744	25,445	3,549,008	$210.9M	64 %	894.1M
2026-09-09	740	31,805	3,451,093	$236.6M	66 %	983.6M
2026-09-08	719	24,745	3,220,959	$222.8M	64 %	778.8M
2026-09-07	730	22,019	3,218,058	$206.3M	66 %	812.6M
2026-09-06

Biggest contracts

Most traded sports contracts on 2026-09-13

The single event contracts with the most USD turnover on the newest captured day — open and close price and the outcome implied by the last print.

Contract	Series	Venue	Open → Close	Implied outcome	Trades	Turnover
KXNFLGAME-26SEP13WASPHI-PHI	Professional Football Game	Kalshi	0.680 → 0.990	Yes	45,395	$15.0M	buy file →
KXNCAAFGAME-26SEP12OSUTEX-TEX	College Football Game	Kalshi	0.480 → 0.990	Yes	104,345	$8.9M	buy file →
KXNCAAFGAME-26SEP12OSUTEX-OSU	College Football Game	Kalshi	0.530 → 0.010	No	70,044	$8.7M	buy file →
KXNFLGAME-26SEP13ARILAC-ARI	Professional Football Game	Kalshi	0.190 → 0.990	Yes	54,430	$7.1M

FAQ

Sports prediction-market data — FAQ

What sports prediction-market data can I download?

Tick-by-tick trades and Level-2 order-book depth for every contract of 1,088 sports series on Kalshi & Polymarket — NFL game totals, FIFA World Cup, ATP/ITF tennis matches, MLB games. Each series page lists its exact coverage and day count.

How far back does the sports data go?

Coverage runs May 2025 – September 2026 — 112,594 series-days in total across the category.

How is the sports data sold?

As series-day bundles: one purchase covers every contract of a series for one UTC day, typically €1. Pick days in the shop calendar; delivery is per file, one ZIP per day, or a resumable multi-day archive.

What format do the files ship in?

One zstd-compressed text file per contract per UTC day, in the same documented schema as every crypto venue; trades also export as gzipped CSV or Parquet at no extra cost. Free samples are on the downloads page, the schema in the market-data specification.

Other prediction-market categories

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