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SharpXI©
Serie A 26/27
AS

Assane Diao

Winger 93% of 30 recent starts ComoSerie A 26/27

Also in: La Liga

Next match
Como vs AS Roma›
Sun 11 OctReferee Michael Fabbri

Shot map Foul map

Last games
max 37 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
Odds
Bookmaker
MarketHit rateModel
Shots on target0.95 per 90
60%
6 of 102.0×
2.00MGMEdge
Total shots2.84 per 90
90%Hot
9 of 101.5×
1.20PPEdge
Fouls won2.25 per 90
70%
7 of 101.2×
1.05PPEdge
Fouls committed1.30 per 90
70%
7 of 101.4×
1.53bet365Edge
Tackles1.78 per 90
70%
7 of 101.5×
0%
0 of 10
Cards0.24 per 90
20%
2 of 101.8×
5.50PPEdge
Goals0.36 per 90
20%
2 of 101.9×
form only
Assists0.12 per 90
10%
1 of 101.2×
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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Over the last 10 Serie A games, Assane Diao has hit 1+ shot on target in 60% (6 of 10), 1+ total shot in 90%, 1+ foul committed in 70%, 1+ foul won in 70%, and been booked in 20% (2 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable wingers

The closest 5 profiles to Assane Diao 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
Assane DiaoComo 172.48 1.24
Jonathan RoweAtalanta 282.68 1.28
Jesús RodriguezComo 312.34 1.30
Gustav IsaksenLazio 302.70 1.01
Gabriel StrefezzaParma 142.13 1.86
Matteo CancellieriLazio 302.12 2.02
These 5, combined 2.41 1.47

Recent matches

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

MatchMinSoTShots FoulsWonTckCards
@ Frosinone20 Sep 90 0 3 1 2 3 1
Parma14 Sep 55 0 0 1 0 0 0
@ Genoa4 Sep 84 2 3 2 1 3 0
@ SSC Napoli30 Aug 65 1 2 0 0 1 0
@ Udinese22 Aug 45 0 2 0 0 0 0
@ Cremonese24 May 83 1 4 0 2 1 0
Parma17 May 90 1 4 1 3 0 0
@ Hellas Verona10 May 81 0 1 1 7 4 0
SSC Napoli2 May 86 2 4 3 3 1 0
@ Genoa26 Apr 81 1 1 2 1 2 1
Officials on record
Luca Pairetto 4 games Assane Diao never booked 4.65cards/game 1.11×vs league

Raw counts from every match on record, across 1 current Serie A official — the model applies each official's overall card tendency, not this split. All Serie A referees

Frequently asked

How often does Assane Diao have a shot on target?

Over the last 10 Serie A games, Assane Diao 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 Assane Diao average?

Across the last 10 Serie A games, Assane Diao is averaging 0.95 shots on target and 2.84 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 Assane Diao get booked?

Assane Diao is averaging 0.24 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 Assane Diao commit or win more fouls?

Over the last 10 games Assane Diao commits 1.30 fouls per 90 and wins 2.25 — 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 Assane Diao?

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. Assane Diao 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.