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Serie A 26/27
AL

Alexsandro Amorim

Central midfielder 100% of 7 recent starts GenoaSerie A 26/27

Next match
Genoa vs Fiorentina›
Sat 10 OctReferee Fabio Maresca

Shot map Foul map

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 central midfielder, 25/26, 2,920 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.16 per 90
10%
1 of 100.5×
4.50bet365Edge
Total shots0.16 per 90
10%
1 of 100.2×
1.67bet365Edge
Fouls won2.53 per 90
70%
7 of 101.4×
1.17bet365Edge
Fouls committed0.79 per 90
30%
3 of 100.5×
1.44bet365Edge
Tackles2.68 per 90
80%Hot
8 of 101.3×
11%
1 of 91.2×
Cards0.32 per 90
20%
2 of 101.4×
5.50PPEdge
Goals0.00 per 90
0%
0 of 10
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.

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

last 10

Comparable central midfielders

The closest 5 profiles to Alexsandro Amorim in Serie A, 25/26 — drawn from 106 central midfielders with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Alexsandro AmorimGenoa 110.32 1.12
Ebenezer AkinsanmiroMonza 240.81 1.87
Emirhan İlkhanTorino 191.06 0.97
Aster VranckxSassuolo 160.39 2.08
Yunus MusahAC Milan 200.96 1.23
Lennon MillerUdinese 240.80 1.24
These 5, combined 0.82 1.49

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Frosinone12 Sep 11 0 0 0 0 1 0
Como4 Sep 15 0 0 0 0 1 0
@ Lazio29 Aug 12 0 0 0 1 0 1
SSC Napoli22 Aug 75 1 1 1 1 3 0
@ Lecce24 May 69 0 0 0 0 2 0
AC Milan17 May 89 0 0 1 3 2 0
@ Fiorentina10 May 82 0 0 0 4 2 0
@ Atalanta2 May 69 0 0 3 3 0 1
Como26 Apr 70 0 0 0 1 2 0
@ Pisa19 Apr 78 0 0 0 3 4 0

Frequently asked

How often does Alexsandro Amorim have a shot on target?

Over the last 10 Serie A games, Alexsandro Amorim 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 Alexsandro Amorim average?

Across the last 10 Serie A games, Alexsandro Amorim is averaging 0.16 shots on target and 0.16 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 Alexsandro Amorim get booked?

Alexsandro Amorim is averaging 0.32 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 Alexsandro Amorim commit or win more fouls?

Over the last 10 games Alexsandro Amorim commits 0.79 fouls per 90 and wins 2.53 — 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 Alexsandro Amorim?

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. Alexsandro Amorim 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.