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SharpXI©
Player stats 26/27

SSC Napoli v AC Milan

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How often each SSC Napoli and AC Milan player has hit the lines bookmakers price — 1+ shots on target, 2+ shots, 1+ fouls, a card — across their recent matches. How hit rates work ↓

Going into SSC Napoli v AC Milan on Sat 12 Dec: Alisson Santos (SSC Napoli) leads the home side for 1+ shots on target — 6 of 10 (60%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. These players joined recently, and the games behind these rates were played elsewhere: Luca Marianucci (Torino), Warren Bondo (Cremonese) — read as prior form, not this club's.

Window
Last
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.

Market
Line
Team
How hit rates and windows work

Each row's hit rate is the share of a player's games in the window where the bet would have landed. These are 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

SSC Napoli
Alisson SantosF 100%10 of 10 Pro 🔒
Scott McTominayM 100%10 of 10 Pro 🔒
David NeresF 70%7 of 10 Pro 🔒
Lorenzo LuccaF 70%7 of 10 Pro 🔒
Antonio VergaraM 60%6 of 10 Pro 🔒
GiovaneF 60%6 of 10 Pro 🔒
Amir RrahmaniD 60%6 of 10 Pro 🔒
AC Milan

SSC Napoli
Alisson SantosF 60%6 of 10 Pro 🔒
Scott McTominayM 60%6 of 10 Pro 🔒
AC Milan
No AC Milan player in this window.

SSC Napoli
Alisson SantosF 60%6 of 10 Pro 🔒
AC Milan
No AC Milan player in this window.

SSC Napoli
Antonio VergaraM 70%7 of 10 Pro 🔒
Sam BeukemaD 70%7 of 10 Pro 🔒
Rafa MarínD 70%7 of 10 Pro 🔒
Giovanni Di LorenzoD 60%6 of 10 Pro 🔒
Matteo PolitanoF 60%6 of 10 Pro 🔒
Amir RrahmaniD 60%6 of 10 Pro 🔒
Scott McTominayM 60%6 of 10 Pro 🔒
AC Milan
Warren BondoMform earned at Cremonese 70%7 of 10 Pro 🔒
Fikayo TomoriD 70%7 of 10 Pro 🔒
Pervis EstupiñánD 70%7 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Alexis SaelemaekersF 60%6 of 10 Pro 🔒

SSC Napoli
AC Milan
No AC Milan player in this window.

SSC Napoli
Stanislav LobotkaM 100%10 of 10 Pro 🔒
Giovanni Di LorenzoD 70%7 of 10 Pro 🔒
Frank AnguissaM 70%7 of 10 Pro 🔒
Antonio VergaraM 60%6 of 10 Pro 🔒
Matteo PolitanoF 60%6 of 10 Pro 🔒
Scott McTominayM 60%6 of 10 Pro 🔒
AC Milan
Warren BondoMform earned at Cremonese 70%7 of 10 Pro 🔒
Yunus MusahM 70%7 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Omari HutchinsonF 60%6 of 10 Pro 🔒
Alexis SaelemaekersF 60%6 of 10 Pro 🔒

SSC Napoli
Rafa MarínD 90%9 of 10 Pro 🔒
Giovanni Di LorenzoD 80%8 of 10 Pro 🔒
Antonio VergaraM 70%7 of 10 Pro 🔒
Amir RrahmaniD 70%7 of 10 Pro 🔒
Luca MarianucciDform earned at Torino 60%6 of 10 Pro 🔒
Stanislav LobotkaM 60%6 of 10 Pro 🔒
Benoît BadiashileD 60%6 of 10 Pro 🔒
AC Milan
Alexis SaelemaekersF 100%10 of 10 Pro 🔒
Fikayo TomoriD 70%7 of 10 Pro 🔒
Mario GilaD 70%7 of 10 Pro 🔒
Warren BondoMform earned at Cremonese 60%6 of 10 Pro 🔒
Filippo TerraccianoD 60%6 of 10 Pro 🔒
Pervis EstupiñánD 60%6 of 10 Pro 🔒

SSC Napoli
Rafa MarínD 70%7 of 10 Pro 🔒
AC Milan
Alexis SaelemaekersF 80%8 of 10 Pro 🔒

SSC Napoli
Scott McTominayM 30%3 of 10 Stats only
AC Milan
No AC Milan player in this window.

SSC Napoli
Antonio VergaraM 30%3 of 10 Stats only
AC Milan
Christian PulišićF 30%3 of 10 Stats only

🔒 Model is the paid layer — the model's +EV verdict on each line, per fixture in the tool. The hit rates here are free.

Tick players above to build your own slip — it follows you across games, and you can share it from the tray below.

New to these markets? The player stats guide explains what each line means and how to read a hit rate, and the glossary defines the terms.

Match officials

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

Form is only half the picture. A player hitting a line 5 of 5 can still be poor value if the true chance is lower than the streak suggests. The SharpXI tool pairs every one of these with the model's real probability — and flags the runs it doesn't back, so you're not chasing a streak about to regress. That honest verdict is the layer we're building into the tool.

Hit rates are raw recent form from public match data, for context — not a prediction or a guarantee. 18+ — please gamble responsibly.