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Serie A · 25/26
MI

Mitchel Bakker

Wing-back 100% of starts · Atalanta · Serie A 25/26

Also in: Ligue 1 → · Bundesliga →

Next match
Atalanta vs Bologna
Sat 29 Aug

Shot map → Foul map →

Last games
max 16 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 Serie A wing-back, 25/26 · 1,375 appearances

Bet line
MarketHit rateModel
Shots on target0.30 per 90
10%
1 of 10 · 0.6×
Total shots1.22 per 90
30%
3 of 10 · 0.7×
Fouls won0.61 per 90
20%
2 of 10 · 0.4×
Fouls committed1.52 per 90
40%
4 of 10 · 0.8×
Cards0.30 per 90
10%
1 of 10 · 0.8×
Goals0.30 per 90
10%
1 of 10 · 2.2×
form only
Assists0.00 per 90
0%
0 of 10
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.

Over the last 10 Serie A games, Mitchel Bakker has hit 1+ shot on target in 10% (1 of 10), 1+ total shot in 30%, 1+ foul committed in 40%, 1+ foul won in 20%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable wing-backs

The closest 5 profiles to Mitchel Bakker in Serie A, 25/26 — drawn from 47 wing-backs with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Mitchel BakkerAtalanta 10.00 0.00
Luís HenriqueInter 300.83 0.28
Raoul BellanovaAtalanta 240.84 0.32
Domagoj BradarićHellas Verona 290.59 0.36
Leonardo SpinazzolaSSC Napoli 320.99 0.42
Lorenzo BernasconiAtalanta 230.52 0.46
These 5, combined 0.75 0.37

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 10 games Mitchel Bakker featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonCards
Bologna17 May 8 0 0 0 0 0
@ Lecce19 Aug 21 0 0 1 0 0
@ Lecce18 May 15 0 0 0 1 0
@ Monza21 Apr 45 0 0 1 0 0
@ Cagliari7 Apr 41 0 1 0 1 0
@ Juventus10 Mar 2 0 0 0 0 0
@ Inter28 Feb 32 0 1 1 0 1
Sassuolo17 Feb 16 1 2 0 0 0
@ Torino4 Dec 71 0 0 0 0 0
SSC Napoli25 Nov 45 0 0 2 0 0

Frequently asked

How often does Mitchel Bakker have a shot on target?

Over the last 10 Serie A games, Mitchel Bakker has hit 1+ shot on target in 10% (1 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 Mitchel Bakker average?

Across the last 10 Serie A games, Mitchel Bakker is averaging 0.30 shots on target and 1.22 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 Mitchel Bakker get booked?

Mitchel Bakker is averaging 0.30 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 Mitchel Bakker commit or win more fouls?

Over the last 10 games Mitchel Bakker commits 1.52 fouls per 90 and wins 0.61 — 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 Mitchel Bakker?

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. Mitchel Bakker 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.