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Premier League market

Fouls committed — modelling a player's foul count

Player fouls committed (1+, 2+) rewards knowing which players actually give away free kicks — and against whom. SharpXI models the foul rate and the opponent's tendency to draw fouls.

How SharpXI models it

A recency-weighted per-90 foul rate, shrunk toward a positional prior, scaled by minutes and adjusted by how many fouls the opposition tends to draw. A Negative Binomial gives P(fouls ≥ line). Fouls are quoted one side only, so the margin cannot be removed from the price and stays in the comparison.

Go deeper: How we model fouls

Where the value tends to sit

Defensive midfielders and full-backs against pacey, dribble-heavy opponents are the natural home of foul value — the sort of match-up detail the market glosses over.

Premier League — how this market behaves

Across 1,245 graded Premier League predictions from the 26/27 season, a player recorded 1+ foul committed in 53.0% of appearances. SharpXI's model beat that base rate by 10.1% here, against Serie A 15.8%, Bundesliga 14.2%, La Liga 14.2%, UEFA Nations League 13.9%, UEFA Champions League 13.7%, Championship 13.6%, UEFA Europa League 13.3%, Ligue 1 12.9% and EFL Cup 11.8% — the league where fouls committed are hardest to call

Premier League leaders this season

In the 26/27 Premier League season, Adrien Truffert (Bournemouth) leads for fouls committed at 2.20 per 90, ahead of Daniel Ballard (2.00) and Vitaly Janelt (1.80). Rates are per 90 minutes, minimum 450 played, from completed matches.

Per-90 rates across the league (26/27 season, minimum 450 minutes) — the players whose underlying numbers drive this market.

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Frequently asked

What counts as a foul committed?

A foul the player concedes, per the match-data provider. Fouls won (drawn) are a separate market.

Are fouls a good bet-builder leg?

They can be strong value because the market prices them coarsely, but sample sizes vary — SharpXI shows a confidence rating so you can weight thin data appropriately.

SharpXI is a statistical tool, not a betting operator, and no model guarantees a result. The honest scoreboard is closing-line value over a large sample. 18+ — please gamble responsibly.