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Serie A 23/24
KA

Karol Świderski

Striker 67% of 3 recent starts Hellas VeronaSerie A 23/24

Last games
max 15 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 striker, 25/26, 1,897 appearances

Bet line
MarketHit rateModel
Shots on target1.16 per 90
30%
3 of 100.8×
Total shots3.47 per 90
70%
7 of 101.0×
Fouls won2.89 per 90
60%
6 of 101.1×
Fouls committed1.16 per 90
40%
4 of 100.8×
Tackles1.45 per 90
30%
3 of 101.0×
11%
1 of 91.2×
Cards0.00 per 90
0%
0 of 10
Goals0.29 per 90
10%
1 of 100.6×
form only
Assists0.00 per 90
0%
0 of 10
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.

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 10 Serie A games, Karol Świderski has hit 1+ shot on target in 30% (3 of 10), 1+ total shot in 70%, 1+ foul committed in 40%, 1+ foul won in 60%, and been booked in 0% (0 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable strikers

Karol Świderski has no Serie A record yet, so this profile is drawn from the UEFA Europa League 25/26 season. These are the closest 5 Serie A strikers 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
Karol ŚwiderskiPanathinaikos FCUEFA Europa League 113.26 2.17
Tijjani NoslinLazio 292.67 1.45
Walid CheddiraSassuolo 332.38 1.95
Álvaro MorataComo 262.22 1.55
Francesco Pio EspositoInter 353.26 1.66
Valentín CastellanosWest Ham United 112.59 1.17
These 5, combined 2.69 1.60

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Salernitana20 May 9 0 0 0 1 0 0
Torino12 May 28 1 2 0 0 0 0
Fiorentina5 May 45 0 1 1 0 1 0
@ Lazio27 Apr 60 0 2 1 5 3 0
Udinese20 Apr 31 0 1 0 1 1 0
@ Atalanta15 Apr 32 0 1 0 0 0 0
Genoa7 Apr 28 1 2 1 1 0 0
@ Cagliari1 Apr 13 0 0 0 1 0 0
AC Milan17 Mar 33 2 3 0 0 0 0
@ Lecce10 Mar 32 0 0 1 1 0 0

Frequently asked

How often does Karol Świderski have a shot on target?

Over the last 10 Serie A games, Karol Świderski has hit 1+ shot on target in 30% (3 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 Karol Świderski average?

Across the last 10 Serie A games, Karol Świderski is averaging 1.16 shots on target and 3.47 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 Karol Świderski get booked?

Karol Świderski is averaging 0.00 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 Karol Świderski commit or win more fouls?

Over the last 10 games Karol Świderski commits 1.16 fouls per 90 and wins 2.89 — winning more than committing. 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 Karol Świderski?

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. Karol Świderski plays as a forward.

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.