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Serie A 25/26
SA

Samuele Angori

Wing-back 97% of 30 recent starts PisaSerie A 25/26

Last games
max 35 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, 1,428 appearances

Bet line
MarketHit rateModel
Shots on target0.22 per 90
20%
2 of 101.2×
Total shots0.75 per 90
40%
4 of 101.0×
Fouls won1.83 per 90
70%
7 of 101.6×
Fouls committed0.75 per 90
50%
5 of 101.0×
Tackles1.29 per 90
70%
7 of 101.1×
0%
0 of 10
Cards0.11 per 90
10%
1 of 100.8×
Goals0.00 per 90
0%
0 of 10
form only
Assists0.11 per 90
10%
1 of 101.5×
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, Samuele Angori has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 40%, 1+ foul committed in 50%, 1+ foul won in 70%, 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 Samuele Angori in Serie A, 25/26 — drawn from 48 wing-backs with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Samuele AngoriPisa 350.48 0.59
Mikael EllertssonGenoa 360.84 0.91
Emanuele ValeriParma 340.78 0.78
Aarón MartínReal Racing Club 330.45 1.28
Devyne RenschAS Roma 240.45 0.45
Rafael ObradorSassuolo 160.56 0.56
These 5, combined 0.66 0.86

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Lazio23 May 90 1 1 1 1 0 0
SSC Napoli17 May 90 0 0 0 0 0 0
@ Cremonese10 May 53 0 0 0 0 3 0
Lecce1 May 64 0 0 1 4 2 0
@ Parma25 Apr 90 0 0 0 2 1 0
Genoa19 Apr 90 1 4 2 2 0 0
@ AS Roma10 Apr 90 0 0 0 2 1 0
Torino5 Apr 90 0 1 0 2 1 0
@ Como22 Mar 90 0 0 2 0 2 1
Cagliari15 Mar 90 0 1 1 4 2 0
Officials on record
Alberto Ruben Arena 3 games Samuele Angori never booked
Daniele Doveri 3 games Samuele Angori never booked 3.34cards/game 0.80×vs league

Raw counts from every match on record, across 2 current Serie A officials — the model applies each official's overall card tendency, not this split. All Serie A referees

Frequently asked

How often does Samuele Angori have a shot on target?

Over the last 10 Serie A games, Samuele Angori 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 Samuele Angori average?

Across the last 10 Serie A games, Samuele Angori is averaging 0.22 shots on target and 0.75 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 Samuele Angori get booked?

Samuele Angori is averaging 0.11 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 Samuele Angori commit or win more fouls?

Over the last 10 games Samuele Angori commits 0.75 fouls per 90 and wins 1.83 — 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 Samuele Angori?

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. Samuele Angori 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.