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SharpXI©
Player stats 25/26

Nice v Olympique de Marseille

Your slip follows you between games.

How often each Nice and Olympique de Marseille 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 Nice v Olympique de Marseille: Sofiane Diop (Nice) leads the home side for 1+ shots on target — 7 of 10 (70%); Mason Greenwood (Olympique de Marseille) tops the visitors on 8 of 10 (80%). 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 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.

Nice
Terem MoffiF 80%8 of 10 Pro 🔒
Sofiane DiopF 80%8 of 10 Pro 🔒
Isak JanssonF 62%5 of 8 Pro 🔒
Kojo Peprah OppongD 60%6 of 10 Pro 🔒
Jérémie BogaF 60%6 of 10 Pro 🔒
Olympique de Marseille
Igor PaixãoM 100%9 of 9 Pro 🔒
Mason GreenwoodM 90%9 of 10 Pro 🔒
Robinio VazF 60%6 of 10 Pro 🔒
Timothy WeahD 60%6 of 10 Pro 🔒
Angel GomesM 60%6 of 10 Pro 🔒
Leonardo BalerdiD 60%6 of 10 Pro 🔒

Nice
Sofiane DiopF 70%7 of 10 Pro 🔒
Olympique de Marseille
Mason GreenwoodM 70%7 of 10 Pro 🔒
Igor PaixãoM 67%6 of 9 Pro 🔒

Nice
No Nice player in this window.
Olympique de Marseille
Mason GreenwoodM 60%6 of 10 Pro 🔒

Nice
Sofiane DiopF 70%7 of 10 Pro 🔒
Olympique de Marseille

Nice
Bernard NgueneF 100%4 of 4 Pro 🔒
Charles VanhoutteM 89%8 of 9 Pro 🔒
Jonathan ClaussM 80%8 of 10 Pro 🔒
Ali AbdiD 80%8 of 10 Pro 🔒
Antoine MendyD 70%7 of 10 Pro 🔒
Abdulay Juma BahD 70%7 of 10 Pro 🔒
Sofiane DiopF 70%7 of 10 Pro 🔒
Kojo Peprah OppongD 60%6 of 10 Pro 🔒
Olympique de Marseille
Angel GomesM 90%9 of 10 Pro 🔒
Leonardo BalerdiD 80%8 of 10 Pro 🔒
Arthur VermeerenM 70%7 of 10 Pro 🔒
Benjamin PavardD 60%6 of 10 Pro 🔒
Matt O'RileyM 60%6 of 10 Pro 🔒

Nice
Antoine MendyD 80%8 of 10 Pro 🔒
Jérémie BogaF 80%8 of 10 Pro 🔒
Melvin BardM 80%8 of 10 Pro 🔒
Sofiane DiopF 80%8 of 10 Pro 🔒
Mohamed Ali ChoF 70%7 of 10 Pro 🔒
Ali AbdiD 60%6 of 10 Pro 🔒
Olympique de Marseille
Igor PaixãoM 78%7 of 9 Pro 🔒
Leonardo BalerdiD 70%7 of 10 Pro 🔒
Angel GomesM 60%6 of 10 Pro 🔒
Mason GreenwoodM 60%6 of 10 Pro 🔒
Geoffrey KondogbiaM 60%6 of 10 Pro 🔒

Nice
Sofiane DiopF 70%7 of 10 Pro 🔒
Olympique de Marseille
No Olympique de Marseille player in this window.

Nice
Antoine MendyD 100%10 of 10 Pro 🔒
Jonathan ClaussM 90%9 of 10 Pro 🔒
Charles VanhoutteM 78%7 of 9 Pro 🔒
Kojo Peprah OppongD 70%7 of 10 Pro 🔒
Abdulay Juma BahD 70%7 of 10 Pro 🔒
Melvin BardM 70%7 of 10 Pro 🔒
Ali AbdiD 70%7 of 10 Pro 🔒
Isak JanssonF 62%5 of 8 Pro 🔒
Olympique de Marseille
Geoffrey KondogbiaM 90%9 of 10 Pro 🔒
EmersonD 80%8 of 10 Pro 🔒
Leonardo BalerdiD 80%8 of 10 Pro 🔒
Arthur VermeerenM 70%7 of 10 Pro 🔒
Benjamin PavardD 70%7 of 10 Pro 🔒
Timothy WeahD 70%7 of 10 Pro 🔒
Matt O'RileyM 60%6 of 10 Pro 🔒

Nice
Antoine MendyD 70%7 of 10 Pro 🔒
Jonathan ClaussM 70%7 of 10 Pro 🔒
Olympique de Marseille
Leonardo BalerdiD 70%7 of 10 Pro 🔒
EmersonD 60%6 of 10 Pro 🔒
Geoffrey KondogbiaM 60%6 of 10 Pro 🔒

Nice
Antoine MendyD 60%6 of 10 Pro 🔒
Olympique de Marseille
No Olympique de Marseille player in this window.

Nice
Sofiane DiopF 50%5 of 10 Stats only
Terem MoffiF 30%3 of 10 Stats only
Olympique de Marseille
Mason GreenwoodM 50%5 of 10 Stats only
Robinio VazF 30%3 of 10 Stats only
Pierre-Emerick AubameyangF 30%3 of 10 Stats only
Angel GomesM 30%3 of 10 Stats only

Nice
Yehvann DioufG 70%7 of 10 Stats only
Olympique de Marseille
No Olympique de Marseille player in this window.

Nice
Yehvann DioufG 60%6 of 10 Stats only
Olympique de Marseille
No Olympique de Marseille player in this window.

🔒 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+14% cards vs the league average
Jeremie Pignard refereed this match 4.43cards a gameleague 3.87 74games
Jeremie Pignard's card 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.