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Serie A 25/26
MA

Manor Solomon

Winger 78% of 9 recent starts West HamSerie A 25/26

Also in: Premier LeagueLa LigaChampionship

Next match
West Ham at Genoa›
Sat 10 OctReferee Fabio Maresca

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 winger, 25/26, 889 appearances

Bet line
MarketHit rateModel
Shots on target0.40 per 90
30%
3 of 101.0×
Total shots1.07 per 90
50%
5 of 100.8×
Fouls won1.48 per 90
70%
7 of 101.2×
Fouls committed0.27 per 90
20%
2 of 100.4×
Tackles1.34 per 90
60%
6 of 101.3×
30%
3 of 102.1×
Cards0.13 per 90
10%
1 of 100.9×
Goals0.13 per 90
10%
1 of 101.0×
form only
Assists0.13 per 90
10%
1 of 101.2×
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, Manor Solomon has hit 1+ shot on target in 30% (3 of 10), 1+ total shot in 50%, 1+ foul committed in 20%, 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 wingers

The closest 5 profiles to Manor Solomon in Serie A, 25/26 — drawn from 33 wingers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Manor SolomonWest Ham United 161.10 0.20
Martin BaturinaComo 291.58 0.85
Noa LangSSC Napoli 181.21 0.67
Mërgim VojvodaComo 301.01 0.84
Jack HarrisonFiorentina 151.20 0.83
Riccardo SottilFiorentina 211.68 0.84
These 5, combined 1.34 0.82

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
Atalanta22 May 14 0 0 0 0 0 0
@ Juventus17 May 90 1 3 0 1 1 0
Genoa10 May 90 0 1 0 2 3 0
@ AS Roma4 May 90 1 1 0 1 0 0
Sassuolo26 Apr 90 0 1 0 1 3 0
@ Lecce20 Apr 30 0 0 1 0 0 1
Lazio13 Apr 14 0 0 0 0 0 0
Pisa23 Feb 78 0 0 0 2 1 0
@ Como14 Feb 90 0 0 1 1 1 0
Torino7 Feb 85 1 2 0 3 1 0

Frequently asked

How often does Manor Solomon have a shot on target?

Over the last 10 Serie A games, Manor Solomon has hit 1+ shot on target in 30% (3 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 Manor Solomon average?

Across the last 10 Serie A games, Manor Solomon is averaging 0.40 shots on target and 1.07 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 Manor Solomon get booked?

Manor Solomon is averaging 0.13 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 Manor Solomon commit or win more fouls?

Over the last 10 games Manor Solomon commits 0.27 fouls per 90 and wins 1.48 — 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 Manor Solomon?

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. Manor Solomon 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.