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Player stats 23/24

Atalanta v Olympique de Marseille

Your slip follows you between games.

How often each Atalanta 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 Atalanta v Olympique de Marseille: Aleksey Miranchuk (Atalanta) leads the home side for 1+ shots on target — 6 of 10 (60%); Pierre-Emerick Aubameyang (Olympique de Marseille) tops the visitors on 10 of 10 (100%). 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.

Atalanta
Aleksey MiranchukM 80%8 of 10 Pro 🔒
Gianluca ScamaccaF 80%8 of 10 Pro 🔒
Ademola LookmanF 70%7 of 10 Pro 🔒
El Bilal TouréF 70%7 of 10 Pro 🔒
Marten de RoonD 60%6 of 10 Pro 🔒
Mario PašalićM 60%6 of 10 Pro 🔒
Olympique de Marseille
Jordan VeretoutM 80%8 of 10 Pro 🔒
Iliman NdiayeF 80%8 of 10 Pro 🔒
Faris MoumbagnaF 70%7 of 10 Pro 🔒
Quentin MerlinM 70%7 of 10 Pro 🔒
Jonathan ClaussM 70%7 of 10 Pro 🔒

Atalanta
Aleksey MiranchukM 60%6 of 10 Pro 🔒
Olympique de Marseille

Atalanta
No Atalanta player in this window.
Olympique de Marseille

Atalanta
Aleksey MiranchukM 60%6 of 10 Pro 🔒
Gianluca ScamaccaF 60%6 of 10 Pro 🔒
Olympique de Marseille

Atalanta
No Atalanta player in this window.
Olympique de Marseille

Atalanta
Marten de RoonD 90%9 of 10 Pro 🔒
ÉdersonM 90%9 of 10 Pro 🔒
Giorgio ScalviniD 70%7 of 10 Pro 🔒
Teun KoopmeinersM 70%7 of 10 Pro 🔒
Ademola LookmanF 70%7 of 10 Pro 🔒
Aleksey MiranchukM 60%6 of 10 Pro 🔒
Olympique de Marseille
No Olympique de Marseille player in this window.

Atalanta
Giorgio ScalviniD 60%6 of 10 Pro 🔒
Olympique de Marseille
No Olympique de Marseille player in this window.

Atalanta
Ademola LookmanF 80%8 of 10 Pro 🔒
Aleksey MiranchukM 70%7 of 10 Pro 🔒
Marten de RoonD 60%6 of 10 Pro 🔒
ÉdersonM 60%6 of 10 Pro 🔒
Olympique de Marseille
Amine HaritF 80%8 of 10 Pro 🔒
Ismaïla SarrF 80%8 of 10 Pro 🔒
Quentin MerlinM 60%6 of 10 Pro 🔒
Leonardo BalerdiD 60%6 of 10 Pro 🔒

Atalanta
Marten de RoonD 90%9 of 10 Pro 🔒
Giorgio ScalviniD 90%9 of 10 Pro 🔒
Berat DjimsitiD 80%8 of 10 Pro 🔒
ÉdersonM 80%8 of 10 Pro 🔒
Davide ZappacostaM 70%7 of 10 Pro 🔒
Matteo RuggeriM 70%7 of 10 Pro 🔒
Isak HienD 60%6 of 10 Pro 🔒
Mario PašalićM 60%6 of 10 Pro 🔒
Ademola LookmanF 60%6 of 10 Pro 🔒
Olympique de Marseille
Leonardo BalerdiD 100%10 of 10 Pro 🔒
Quentin MerlinM 90%9 of 10 Pro 🔒
Iliman NdiayeF 80%8 of 10 Pro 🔒
Geoffrey KondogbiaM 80%8 of 10 Pro 🔒
Jordan VeretoutM 70%7 of 10 Pro 🔒
Samuel GigotD 70%7 of 10 Pro 🔒
Jonathan ClaussM 70%7 of 10 Pro 🔒
Amine HaritF 60%6 of 10 Pro 🔒
Azzedine OunahiM 60%6 of 10 Pro 🔒

Atalanta
Marten de RoonD 80%8 of 10 Pro 🔒
ÉdersonM 60%6 of 10 Pro 🔒
Olympique de Marseille
Leonardo BalerdiD 90%9 of 10 Pro 🔒

Atalanta
No Atalanta player in this window.
Olympique de Marseille
Leonardo BalerdiD 70%7 of 10 Pro 🔒

Atalanta
Teun KoopmeinersM 40%4 of 10 Stats only
Gianluca ScamaccaF 40%4 of 10 Stats only
El Bilal TouréF 30%3 of 10 Stats only
Olympique de Marseille
Pierre-Emerick AubameyangF 60%6 of 10 Stats only
Faris MoumbagnaF 30%3 of 10 Stats only

Atalanta
Mario PašalićM 40%4 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
Jesus Gil Manzano refereed this match

5 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.