Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Serie A 26/27
PE

Pedro Gonçalves

Midfielder FiorentinaSerie A 26/27

Also in: Primeira Liga

Next match
Fiorentina vs Como›
Sun 18 Oct

Shot map Foul map

Last games
max 4 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 4 games

Compared with a Serie A midfielder, 25/26, 4,572 appearances

Bet line
Odds
MarketHit rateModel
Shots on target0.00 per 90
0%
0 of 4
1.57bet365Edge
Total shots4.58 per 90
50%
2 of 41.0×
1.06bet365Edge
Fouls won0.00 per 90
0%
0 of 4
1.53bet365Edge
Fouls committed0.00 per 90
0%
0 of 4
1.36bet365Edge
Tackles0.00 per 90
0%
0 of 4
0%
0 of 4
Cards0.00 per 90
0%
0 of 4
Goals0.00 per 90
0%
0 of 4
form only
Assists0.00 per 90
0%
0 of 4
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 304 selections across 78 matches on this week’s slate, each with its record and the market price.

Confirmed by a link. Unsubscribe in one click. Or open the player report.

Over the last 4 Serie A games, Pedro Gonçalves has hit 1+ shot on target in 0% (0 of 4), 1+ total shot in 50%, 1+ foul committed in 0%, 1+ foul won in 0%, and been booked in 0% (0 of 4). These are raw hit rates from completed matches, not odds.

last 4

Comparable wingers

The closest 5 profiles to Pedro Gonçalves in Serie A, 26/27 — drawn from 6 wingers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Pedro GonçalvesFiorentina 44.58 0.00
Samuel ChukwuezeAC Milan 61.34 0.00
Mërgim VojvodaUdinese 60.54 0.00
Franco MastantuonoFiorentina 64.77 0.76
Armand LaurientéSassuolo 63.33 1.00
Mattia ZaccagniLazio 63.02 0.50
These 5, combined 2.61 0.46

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 4 games Pedro Gonçalves featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Genoa10 Oct 9 0 1 0 0 0 0
SSC Napoli20 Sep 29 0 2 0 0 0 0
@ Venezia11 Sep 10 0 0 0 0 0 0
Torino5 Sep 11 0 0 0 0 0 0

Frequently asked

How often does Pedro Gonçalves have a shot on target?

Over the last 4 Serie A games, Pedro Gonçalves has hit 1+ shot on target in 0% (0 of 4). 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 Pedro Gonçalves average?

Across the last 4 Serie A games, Pedro Gonçalves is averaging 0.00 shots on target and 4.58 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 Pedro Gonçalves get booked?

Pedro Gonçalves is averaging 0.00 cards per 90 over the last 4 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 Pedro Gonçalves commit or win more fouls?

Over the last 4 games Pedro Gonçalves commits 0.00 fouls per 90 and wins 0.00 — an even split. 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 Pedro Gonçalves?

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. Pedro Gonçalves 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.