Pricing

Pay per event

Understat xG League & Team Stats Scraper

Scrape expected goals (xG), xGA, NPxG, PPDA and full standings for all 6 understat.com leagues across any available season. One row per team per season, aggregated from match-level history.

Pricing

Pay per event

Rating

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Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Features

6 leagues in a single run: EPL, La Liga, Bundesliga, Serie A, Ligue 1, RFPL
All seasons from 2014/2015 onwards — back-fill historical data or track the current season
Match-level aggregation — sums each team's per-match xG, xGA, NPxG, PPDA, deep completions into a clean season total
PPDA ratio computed correctly as passes_attempted / defensive_actions (lower = more pressing)
No proxy required — understat.com is open and datacenter-friendly

Use Cases

Build football analytics dashboards (xG vs actual goals by team)
Feed betting or fantasy football models with expected-goals standings
Compare xG performance across leagues or seasons for research / Substack writing
Backtest xG-based table predictions

Input

Field	Type	Default	Description
`leagues`	array	(all 6)	Which leagues to scrape. Valid values: `EPL`, `La_liga`, `Bundesliga`, `Serie_A`, `Ligue_1`, `RFPL`
`seasons`	array	`["2024"]`	Season start years to scrape. E.g. `["2024"]` = 2024/2025, `["2023","2024"]` = two seasons
`maxItems`	integer	10	Maximum records to return (0 = unlimited)

Example input — EPL last 3 seasons

{
  "leagues": ["EPL"],
  "seasons": ["2022", "2023", "2024"],
  "maxItems": 0
}

Example input — All leagues, current season

{
  "leagues": ["EPL", "La_liga", "Bundesliga", "Serie_A", "Ligue_1", "RFPL"],
  "seasons": ["2024"],
  "maxItems": 0
}

Output

One record per team per season:

{
  "season": "2024/2025",
  "league": "EPL",
  "team_name": "Aston Villa",
  "team_id": "71",
  "games_played": 38,
  "wins": 19,
  "draws": 9,
  "losses": 10,
  "goals_for": 58,
  "goals_against": 51,
  "xg_for": 66.39,
  "xg_against": 55.0,
  "npxg": 61.71,
  "deep": 285,
  "ppda": 12.39,
  "oppda": 9.96,
  "points": 66,
  "source": "https://understat.com/league/EPL"
}

Field reference

Field	Description
`season`	Season label (e.g. `2024/2025`)
`league`	League name
`team_name`	Team name as shown on understat.com
`team_id`	Understat internal team ID
`games_played`	Total matches played
`wins` / `draws` / `losses`	Season record
`goals_for` / `goals_against`	Goals scored / conceded
`xg_for`	Total expected goals (xG)
`xg_against`	Total expected goals against (xGA)
`npxg`	Non-penalty xG (excludes spot-kick quality)
`deep`	Deep completions — passes into the opposition's danger zone
`ppda`	Passes per defensive action by opponent (lower = team presses more aggressively)
`oppda`	Opponent PPDA — how much the team is pressed
`points`	Total league points
`source`	Source URL

Notes

Data is sourced from understat.com's internal XHR API (/getLeagueData/{league}/{season}), which returns gzip-compressed JSON. All values are aggregated from per-match history.
PPDA and OPPDA are null if a team played 0 defensive actions (extremely rare, data gap seasons only).
The RFPL (Russian Premier League) data coverage may be incomplete for recent seasons.
maxItems counts across all requested league × season combinations. Set to 0 to scrape everything.

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