Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 23/24

Olympique de Marseille v Shakhtar Donetsk

Your slip follows you between games.

How often each Olympique de Marseille and Shakhtar Donetsk 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 Olympique de Marseille v Shakhtar Donetsk: Pierre-Emerick Aubameyang (Olympique de Marseille) leads the home side for 1+ shots on target — 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.

Olympique de Marseille
Quentin MerlinM 80%8 of 10 Pro 🔒
Jordan VeretoutM 70%7 of 10 Pro 🔒
Faris MoumbagnaF 67%2 of 3 Pro 🔒
Amine HaritF 60%6 of 10 Pro 🔒
Iliman NdiayeF 60%6 of 10 Pro 🔒
Azzedine OunahiM 60%6 of 10 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Amine HaritF 60%6 of 10 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Geoffrey KondogbiaM 80%8 of 10 Pro 🔒
Azzedine OunahiM 80%8 of 10 Pro 🔒
Faris MoumbagnaF 67%2 of 3 Pro 🔒
Emran SogloM 67%2 of 3 Pro 🔒
Jordan VeretoutM 60%6 of 10 Pro 🔒
Chancel MbembaD 60%6 of 10 Pro 🔒
Samuel GigotD 60%6 of 10 Pro 🔒
Jonathan ClaussM 60%6 of 10 Pro 🔒
Iliman NdiayeF 60%6 of 10 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Geoffrey KondogbiaM 60%6 of 10 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Amine HaritF 90%9 of 10 Pro 🔒
Iliman NdiayeF 80%8 of 10 Pro 🔒
Ismaïla SarrF 70%7 of 10 Pro 🔒
Geoffrey KondogbiaM 70%7 of 10 Pro 🔒
Azzedine OunahiM 70%7 of 10 Pro 🔒
Faris MoumbagnaF 67%2 of 3 Pro 🔒
Emran SogloM 67%2 of 3 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Faris MoumbagnaF 67%2 of 3 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Faris MoumbagnaF 67%2 of 3 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Geoffrey KondogbiaM 90%9 of 10 Pro 🔒
Samuel GigotD 80%8 of 10 Pro 🔒
Amine HaritF 80%8 of 10 Pro 🔒
Ismaïla SarrF 70%7 of 10 Pro 🔒
Azzedine OunahiM 70%7 of 10 Pro 🔒
Quentin MerlinM 60%6 of 10 Pro 🔒
Chancel MbembaD 60%6 of 10 Pro 🔒
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Pierre-Emerick AubameyangF 40%4 of 10 Stats only
Faris MoumbagnaF 33%1 of 3 Stats only
Emran SogloM 33%1 of 3 Stats only
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Emran SogloM 33%1 of 3 Stats only
Pierre-Emerick AubameyangF 30%3 of 10 Stats only
Shakhtar Donetsk
No Shakhtar Donetsk player in this window.

Olympique de Marseille
Pau LópezG 60%6 of 10 Stats only
Shakhtar Donetsk
No Shakhtar Donetsk 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
Tobias Stieler refereed this match

10 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.