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Player stats · 22/23

Eintracht Frankfurt v SSC Napoli

How often each Eintracht Frankfurt and SSC Napoli 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 Eintracht Frankfurt v SSC Napoli: Randal Kolo Muani (Eintracht Frankfurt) leads the home side for 1+ shots on target — 7 of 10 (70%); Victor Osimhen (SSC Napoli) tops the visitors on 9 of 10 (90%). Raw hit rates from recent matches, not odds.

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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

Eintracht Frankfurt
Randal Kolo MuaniF 100%10 of 10 Pro 🔒
Jesper LindstrømF 80%8 of 10 Pro 🔒
Philipp MaxM 67%2 of 3 Pro 🔒
SSC Napoli
Victor OsimhenF 100%10 of 10 Pro 🔒
Khvicha KvaratskheliaF 100%10 of 10 Pro 🔒
Piotr ZielińskiM 90%9 of 10 Pro 🔒
Amir RrahmaniD 70%7 of 10 Pro 🔒
Hirving LozanoF 70%7 of 10 Pro 🔒
Giovanni Di LorenzoD 60%6 of 10 Pro 🔒
Frank AnguissaM 60%6 of 10 Pro 🔒
Eljif ElmasM 60%6 of 10 Pro 🔒

Eintracht Frankfurt
Jesper LindstrømF 70%7 of 10 Pro 🔒
Randal Kolo MuaniF 70%7 of 10 Pro 🔒
SSC Napoli
Victor OsimhenF 100%10 of 10 Pro 🔒

Eintracht Frankfurt
No Eintracht Frankfurt player in this window.
SSC Napoli
Victor OsimhenF 80%8 of 10 Pro 🔒

Eintracht Frankfurt
Randal Kolo MuaniF 70%7 of 10 Pro 🔒
SSC Napoli
Victor OsimhenF 90%9 of 10 Pro 🔒

Eintracht Frankfurt
No Eintracht Frankfurt player in this window.
SSC Napoli
Victor OsimhenF 60%6 of 10 Pro 🔒

Eintracht Frankfurt
Daichi KamadaM 80%8 of 10 Pro 🔒
Aurélio ButaM 80%4 of 5 Pro 🔒
Evan NdickaD 70%7 of 10 Pro 🔒
TutaD 70%7 of 10 Pro 🔒
Philipp MaxM 67%2 of 3 Pro 🔒
Mario GötzeF 60%6 of 10 Pro 🔒
Jesper LindstrømF 60%6 of 10 Pro 🔒
Randal Kolo MuaniF 60%6 of 10 Pro 🔒
Rafael BorréF 60%6 of 10 Pro 🔒
SSC Napoli
Victor OsimhenF 80%8 of 10 Pro 🔒
Stanislav LobotkaM 70%7 of 10 Pro 🔒
Kim Min-jaeD 70%7 of 10 Pro 🔒
Frank AnguissaM 70%7 of 10 Pro 🔒
Matteo PolitanoF 60%6 of 10 Pro 🔒

Eintracht Frankfurt
Daichi KamadaM 60%6 of 10 Pro 🔒
SSC Napoli
No SSC Napoli player in this window.

Eintracht Frankfurt
Randal Kolo MuaniF 100%10 of 10 Pro 🔒
Djibril SowM 80%8 of 10 Pro 🔒
Mario GötzeF 80%8 of 10 Pro 🔒
Ansgar KnauffF 70%7 of 10 Pro 🔒
Philipp MaxM 67%2 of 3 Pro 🔒
SSC Napoli
Stanislav LobotkaM 90%9 of 10 Pro 🔒
Frank AnguissaM 80%8 of 10 Pro 🔒
Piotr ZielińskiM 70%7 of 10 Pro 🔒
Giovanni Di LorenzoD 70%7 of 10 Pro 🔒
Victor OsimhenF 70%7 of 10 Pro 🔒
Hirving LozanoF 60%6 of 10 Pro 🔒

Eintracht Frankfurt
Randal Kolo MuaniF 90%9 of 10 Pro 🔒
Djibril SowM 60%6 of 10 Pro 🔒
SSC Napoli
Victor OsimhenF 60%6 of 10 Pro 🔒

Eintracht Frankfurt
Randal Kolo MuaniF 80%8 of 10 Pro 🔒
SSC Napoli
No SSC Napoli player in this window.

Eintracht Frankfurt
Randal Kolo MuaniF 60%6 of 10 Stats only
Aurélio ButaM 40%2 of 5 Stats only
SSC Napoli
Victor OsimhenF 80%8 of 10 Stats only
Khvicha KvaratskheliaF 50%5 of 10 Stats only
Eljif ElmasM 40%4 of 10 Stats only
Giovanni SimeoneF 30%3 of 10 Stats only

Eintracht Frankfurt
Randal Kolo MuaniF 30%3 of 10 Stats only
SSC Napoli
Khvicha KvaratskheliaF 50%5 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
Artur Soares Dias refereed this match

7 matches on record — too few to quote a card rate against. See the record →

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.