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Soccer v3 Stats

Soccer v3 Stats

SportsDataIO Soccer Stats API provides deep soccer player and team statistics — xG, shot accuracy, key passes, player comparisons, advanced metrics.

Visit site ↗Health checked 9h ago
Use it when

xG (expected goals) and other modern soccer analytics metrics

Watch for

Paid

First check

Subscribe to Soccer Stats plan on sportsdata.io. GET /v3/soccer/stats/json/PlayerSeasonStats/{competition}/{season}?key=...

Auth
CORS
No
HTTPS
Yes
Signup
?
Latency
355 ms
Protocol
REST
Pricing

Uptime · 30-day window

Probes: 1Uptime: 100%Avg latency: 355ms
01

About this API

Soccer analytics underwent a revolution over the past decade — xG (Expected Goals, quantifying "how many goals should this shot have produced based on position and angle"), shot maps, heatmaps, and other advanced metrics changed team tactical analysis, transfer evaluation, betting models. SportsDataIO Soccer Stats provides these advanced metrics plus traditional statistics via API. Common uses: Fantasy Premier League player selection (look beyond goals to xG for undervalued players), player transfer evaluation (clubs spending tens of millions verify with advanced metrics first), betting prop bets (player's shot count over/under), media deep analysis. vs. top-tier sources like Opta (Premier League official partner), StatsBomb (academic darling), SportsDataIO is more affordable.

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What you can build

  • 1Fantasy Premier League player data analysis
  • 2Soccer betting prop bets
  • 3Player transfer evaluation models
  • 4Sports media deep-analysis articles
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Strengths & limitations

Strengths

  • xG (expected goals) and other modern soccer analytics metrics
  • Covers global top-league players
  • Deep historical data

Limitations

  • Paid
  • Advanced metrics methodology may slightly differ from Opta, StatsBomb
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Example request

Generic template — replace <endpoint> with the real path from the docs.
curl https://sportsdata.io/<endpoint>
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Getting started

Subscribe to Soccer Stats plan on sportsdata.io. GET /v3/soccer/stats/json/PlayerSeasonStats/{competition}/{season}?key=...

06

FAQ

How accurate is xG?+

Within industry standard error range (±10%). But different models have different methodologies (SportsDataIO vs Opta vs StatsBomb) — don't mix.

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Technical details

CORS: NoHTTPS: YesSignup: ?Open source: No
Auth type
unknown
Pricing
unknown
Protocols
REST
SDKs
python, javascript, go, java, csharp
Response time
355 ms
Last health check
5/12/2026, 7:38:27 AM
08

Tags

09

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