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SharpXI©
Serie A 22/23
GI

Giacomo Quagliata

Wing-back 67% of 6 recent starts Deportivo de A CoruñaSerie A 22/23

Also in: La Liga

Last games
max 20 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 target0.00 per 90
0%
0 of 10
Total shots0.28 per 90
10%
1 of 100.2×
Fouls won1.40 per 90
50%
5 of 101.1×
Fouls committed1.96 per 90
40%
4 of 100.8×
Tackles0.84 per 90
30%
3 of 100.5×
0%
0 of 10
Cards0.28 per 90
10%
1 of 100.8×
Goals0.00 per 90
0%
0 of 10
form only
Assists0.28 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.

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, Giacomo Quagliata has hit 1+ shot on target in 0% (0 of 10), 1+ total shot in 10%, 1+ foul committed in 40%, 1+ foul won in 50%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable full-backs

Giacomo Quagliata has no Serie A record yet, so this profile is drawn from the La Liga 26/27 season. These are the closest 5 Serie A full-backs 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
Giacomo QuagliataDeportivo de A CoruñaLa Liga 70.79 0.79
DodôFiorentina 360.72 0.63
Manuel LazzariLazio 230.38 0.94
Robin GosensFC Schalke 04 260.86 1.14
Alberto MorenoComo 190.80 1.23
Josh DoigSassuolo 300.51 0.75
These 5, combined 0.68 0.87

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Lazio28 May 22 0 0 0 1 1 0
Bologna20 May 20 0 0 0 1 0 0
@ Juventus14 May 45 0 0 2 0 0 0
Hellas Verona30 Apr 8 0 0 1 0 0 1
@ Udinese23 Apr 30 0 0 0 1 0 0
Empoli14 Apr 13 0 0 0 1 0 0
@ Sampdoria8 Apr 73 0 0 0 0 1 0
Monza14 Jan 82 0 0 2 0 0 0
@ Empoli11 Nov 21 0 1 2 0 1 0
AC Milan8 Nov 8 0 0 0 1 0 0

Frequently asked

How often does Giacomo Quagliata have a shot on target?

Over the last 10 Serie A games, Giacomo Quagliata has hit 1+ shot on target in 0% (0 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 Giacomo Quagliata average?

Across the last 10 Serie A games, Giacomo Quagliata is averaging 0.00 shots on target and 0.28 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 Giacomo Quagliata get booked?

Giacomo Quagliata is averaging 0.28 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 Giacomo Quagliata commit or win more fouls?

Over the last 10 games Giacomo Quagliata commits 1.96 fouls per 90 and wins 1.40 — 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 Giacomo Quagliata?

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. Giacomo Quagliata 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.