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Bundesliga 22/23
SU

Suat Serdar

Central midfielder 92% of 24 recent starts Hertha BSCBundesliga 22/23

Also in: Serie A

Last games
max 32 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 10 games

Compared with a Bundesliga central midfielder, 25/26, 1,878 appearances

Bet line
MarketHit rateModel
Shots on target0.36 per 90
20%
2 of 100.9×
Total shots0.54 per 90
30%
3 of 100.6×
Fouls won1.63 per 90
60%
6 of 101.3×
Fouls committed2.36 per 90
70%
7 of 101.4×
Tackles1.63 per 90
60%
6 of 100.9×
10%
1 of 101.1×
Cards0.54 per 90
30%
3 of 102.0×
Goals0.00 per 90
0%
0 of 10
form only
Assists0.18 per 90
10%
1 of 101.4×
form only
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.

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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 10 Bundesliga games, Suat Serdar has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 30%, 1+ foul committed in 70%, 1+ foul won in 60%, and been booked in 30% (3 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable central midfielders

Suat Serdar has no Bundesliga record yet, so this profile is drawn from the Serie A 25/26 season. These are the closest 5 Bundesliga central midfielders by standing within their own league — not by matching output, which does not carry across leagues. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Suat SerdarHellas VeronaSerie A 201.53 1.53
Xaver SchlagerNottingham Forest 261.03 1.22
Grischa PrömelVfB Stuttgart 332.21 1.18
Kristijan JakićFC Augsburg 260.98 0.93
Chema AndrésBrighton & Hove Albion 251.02 1.36
Jobe BellinghamBorussia Dortmund 320.95 0.75
These 5, combined 1.25 1.08

Recent matches

The last 10 games Suat Serdar featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ VfL Wolfsburg27 May 45 0 0 2 0 0 1
VfL Bochum 184820 May 86 0 0 1 1 1 0
@ 1. FC Köln12 May 29 0 0 1 1 0 1
VfB Stuttgart6 May 14 0 0 0 0 2 0
SV Werder Bremen22 Apr 45 0 0 2 0 0 1
@ FC Schalke 0414 Apr 64 0 0 4 1 1 0
RB Leipzig8 Apr 28 1 1 2 1 2 0
@ SC Freiburg1 Apr 23 0 1 0 0 1 0
@ TSG Hoffenheim18 Mar 73 0 0 0 1 0 0
1. FSV Mainz 0511 Mar 89 1 1 1 4 2 0
Officials on record
Christian Dingert 3 games Suat Serdar booked in 1 4.29cards/game 1.05×vs league
Frank Willenborg 3 games Suat Serdar booked in 1 4.73cards/game 1.16×vs league
Harm Osmers 3 games Suat Serdar never booked 4.30cards/game 1.06×vs league

Raw counts from every match on record, across 3 current Bundesliga officials — the model applies each official's overall card tendency, not this split. All Bundesliga referees

Frequently asked

How often does Suat Serdar have a shot on target?

Over the last 10 Bundesliga games, Suat Serdar has hit 1+ shot on target in 20% (2 of 10). 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 Suat Serdar average?

Across the last 10 Bundesliga games, Suat Serdar is averaging 0.36 shots on target and 0.54 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 Suat Serdar get booked?

Suat Serdar is averaging 0.54 cards per 90 over the last 10 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 Suat Serdar commit or win more fouls?

Over the last 10 games Suat Serdar commits 2.36 fouls per 90 and wins 1.63 — committing more than winning. 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 Suat Serdar?

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. Suat Serdar plays as a midfielder.

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.