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Premier League 25/26
MA

Mamadou Sarr

Defender Real SociedadPremier League 25/26

Also in: La LigaLigue 1

Next match
Real Sociedad vs Bournemouth›
Sat 10 OctReferee Samuel Barrott

Shot map Foul map

Last games
max 3 on record
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

All markets last 3 games

Compared with a Premier League defender, 25/26, 3,649 appearances

Bet line
MarketHit rateModel
Shots on target0.00 per 90
0%
0 of 3
Total shots0.84 per 90
33%
1 of 31.0×
Fouls won0.00 per 90
0%
0 of 3
Fouls committed0.00 per 90
0%
0 of 3
Tackles0.84 per 90
33%
1 of 30.5×
0%
0 of 3
Cards0.00 per 90
0%
0 of 3
Goals0.00 per 90
0%
0 of 3
form only
Assists0.00 per 90
0%
0 of 3
form only
No bookmaker prices for this fixture yet. Player markets are usually priced closer to kickoff, and not every fixture carries every market. The hit rates and match-up above are complete either way.
Hit rate, per-90 and the market price are free. Switch the bet line above — each carries its own price where the bookmaker offers one. What’s paid is the model’s edge: whether that price is wrong. Rare tails the model can’t beat, like 3+ on target, stay hit-rate-only.

Five selections from the player report, free in your inbox

Picked from 20 selections across 10 matches on this week’s slate, each with its record and the market price.

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Over the last 3 Premier League games, Mamadou Sarr has hit 1+ shot on target in 0% (0 of 3), 1+ total shot in 33%, 1+ foul committed in 0%, 1+ foul won in 0%, and been booked in 0% (0 of 3). These are raw hit rates from completed matches, not odds.

last 3

Comparable centre-backs

The closest 5 profiles to Mamadou Sarr in Premier League, 25/26 — drawn from 66 centre-backs with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Mamadou SarrReal Sociedad 30.84 0.00
Victor LindelöfAston Villa 170.27 0.18
Pau TorresAston Villa 210.48 0.38
Nathan AkéManchester City 180.77 0.38
Joe WorrallWrexham 110.17 0.70
Lisandro MartínezManchester United 180.36 0.65
These 5, combined 0.42 0.44

No close match — the nearest profile sits well outside the usual range, so read these five as the closest available rather than as like-for-like.

Recent matches

The last 3 games Mamadou Sarr featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
Tottenham19 May 9 0 0 0 0 0 0
@ Arsenal1 Mar 89 0 1 0 0 1 0
Burnley21 Feb 9 0 0 0 0 0 0

Frequently asked

How often does Mamadou Sarr have a shot on target?

Over the last 3 Premier League games, Mamadou Sarr has hit 1+ shot on target in 0% (0 of 3). That's the raw hit rate from completed matches; SharpXI's model turns it into a true probability by adjusting for the opponent and expected minutes, then compares it with the bookmaker's price as offered.

How many shots on target does Mamadou Sarr average?

Across the last 3 Premier League games, Mamadou Sarr is averaging 0.00 shots on target and 0.84 total shots per 90 minutes. SharpXI treats that as a starting rate, then adjusts for the opponent and expected minutes before pricing a 1+ or 2+ line.

How often does Mamadou Sarr get booked?

Mamadou Sarr is averaging 0.00 cards per 90 over the last 3 games. Bookings swing heavily on the referee, so the model multiplies a player's base rate by each official's card tendency — the biggest single lever in the to-be-carded market.

Does Mamadou Sarr commit or win more fouls?

Over the last 3 games Mamadou Sarr commits 0.00 fouls per 90 and wins 0.00 — an even split. Fouls committed and fouls won are separate markets, each modelled from the player's rate and the opponent faced.

Which player markets does SharpXI model for Mamadou Sarr?

Shots on target, total shots, fouls committed, fouls won and to be carded — each as a true probability, compared with the bookmaker's price as offered. Mamadou Sarr plays as a defender.

Rates shown are raw counts from public match data for context; the model adds shrinkage, opponent and referee factors before flagging value, and compares against the bookmaker's price as offered — player markets are priced one side only, so that price still carries the bookmaker's margin. 18+ — please gamble responsibly.