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Serie A 25/26
EV

Evan Ferguson

Striker 100% of 10 recent starts BrightonSerie A 25/26

Also in: Premier League

Next match
Brighton at Como›
Sun 11 OctReferee Michael Fabbri

Shot map Foul map

Last games
max 16 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 target2.26 per 90
60%
6 of 101.5×
Total shots3.58 per 90
80%Hot
8 of 101.2×
Fouls won0.75 per 90
40%
4 of 100.7×
Fouls committed0.75 per 90
30%
3 of 100.6×
Tackles0.38 per 90
10%
1 of 100.3×
20%
2 of 102.2×
Cards0.00 per 90
0%
0 of 10
Goals0.56 per 90
30%
3 of 101.9×
form only
Assists0.19 per 90
10%
1 of 101.7×
form only
No bookmaker prices for this fixture yet. Player markets are usually priced closer to kickoff, and not every fixture carries every market. The hit rates and match-up above are complete either way.
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, Evan Ferguson has hit 1+ shot on target in 60% (6 of 10), 1+ total shot in 80%, 1+ foul committed in 30%, 1+ foul won in 40%, and been booked in 0% (0 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable strikers

The closest 5 profiles to Evan Ferguson in Serie A, 25/26 — drawn from 62 strikers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Evan FergusonBrighton & Hove Albion 163.13 1.28
GiovaneSSC Napoli 332.68 1.15
Gianluca ScamaccaAtalanta 243.89 1.77
Giovanni SimeoneTorino 323.17 1.24
Christian PulišićAC Milan 303.02 0.61
Duván ZapataTorino 282.72 1.20
These 5, combined 3.08 1.18

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Sassuolo10 Jan 39 0 2 1 1 0 0
@ Lecce6 Jan 60 2 2 0 0 2 0
@ Atalanta3 Jan 60 3 3 0 1 0 0
Genoa29 Dec 85 2 3 2 0 0 0
@ Juventus20 Dec 34 2 2 0 0 0 0
Como15 Dec 90 2 4 0 0 0 0
@ Cagliari7 Dec 28 0 0 1 1 0 0
SSC Napoli30 Nov 45 0 2 0 0 0 0
@ Cremonese23 Nov 30 1 1 0 0 0 0
Parma29 Oct 7 0 0 0 1 0 0

Frequently asked

How often does Evan Ferguson have a shot on target?

Over the last 10 Serie A games, Evan Ferguson has hit 1+ shot on target in 60% (6 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 Evan Ferguson average?

Across the last 10 Serie A games, Evan Ferguson is averaging 2.26 shots on target and 3.58 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 Evan Ferguson get booked?

Evan Ferguson 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 Evan Ferguson commit or win more fouls?

Over the last 10 games Evan Ferguson commits 0.75 fouls per 90 and wins 0.75 — 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 Evan Ferguson?

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. Evan Ferguson 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.