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Olympique de Marseille v Montpellier

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How often each Olympique de Marseille and Montpellier 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 Montpellier: Amine Gouiri (Olympique de Marseille) leads the home side for 1+ shots on target — 9 of 10 (90%); Tanguy Coulibaly (Montpellier) tops the visitors on 7 of 10 (70%). 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.

Olympique de Marseille
Amine GouiriF 100%10 of 10 Pro 🔒
Mason GreenwoodF 100%10 of 10 Pro 🔒
Quentin MerlinM 70%7 of 10 Pro 🔒
Adrien RabiotF 70%7 of 10 Pro 🔒
Luís HenriqueM 70%7 of 10 Pro 🔒
Jonathan RoweF 60%6 of 10 Pro 🔒
Montpellier
Tanguy CoulibalyM 80%8 of 10 Pro 🔒
Nicolas PaysM 75%6 of 8 Pro 🔒
Othmane MaammaF 60%6 of 10 Pro 🔒
Issiaga SyllaD 60%6 of 10 Pro 🔒

Olympique de Marseille
Amine GouiriF 100%10 of 10 Pro 🔒
Mason GreenwoodF 90%9 of 10 Pro 🔒
Montpellier
No Montpellier player in this window.

Olympique de Marseille
Amine GouiriF 80%8 of 10 Pro 🔒
Montpellier
No Montpellier player in this window.

Olympique de Marseille
Amine GouiriF 90%9 of 10 Pro 🔒
Mason GreenwoodF 80%8 of 10 Pro 🔒
Montpellier
Tanguy CoulibalyM 70%7 of 10 Pro 🔒

Olympique de Marseille
Adrien RabiotF 90%9 of 10 Pro 🔒
Valentin RongierM 90%9 of 10 Pro 🔒
Ismaël BennacerM 80%8 of 10 Pro 🔒
Amir MurilloD 80%8 of 10 Pro 🔒
Amine GouiriF 70%7 of 10 Pro 🔒
Montpellier
Jordan FerriM 80%8 of 10 Pro 🔒
Tanguy CoulibalyM 70%7 of 10 Pro 🔒
Théo Sainte-LuceD 60%6 of 10 Pro 🔒

Olympique de Marseille
No Olympique de Marseille player in this window.
Montpellier
Jordan FerriM 70%7 of 10 Pro 🔒

Olympique de Marseille
Jonathan RoweF 60%6 of 10 Pro 🔒
Quentin MerlinM 60%6 of 10 Pro 🔒
Adrien RabiotF 60%6 of 10 Pro 🔒
Montpellier
Khalil FayadM 70%7 of 10 Pro 🔒
Lucas MincarelliD 70%7 of 10 Pro 🔒

Olympique de Marseille
Montpellier
No Montpellier player in this window.

Olympique de Marseille
Valentin RongierM 90%9 of 10 Pro 🔒
Geoffrey KondogbiaD 80%8 of 10 Pro 🔒
Adrien RabiotF 70%7 of 10 Pro 🔒
Amir MurilloD 70%7 of 10 Pro 🔒
Ismaël BennacerM 60%6 of 10 Pro 🔒
Montpellier
Rabby NzingoulaM 90%9 of 10 Pro 🔒
Lucas MincarelliD 90%9 of 10 Pro 🔒
Issiaga SyllaD 80%8 of 10 Pro 🔒
Théo Sainte-LuceD 70%7 of 10 Pro 🔒
Nicolas PaysM 62%5 of 8 Pro 🔒
Jordan FerriM 60%6 of 10 Pro 🔒
Khalil FayadM 60%6 of 10 Pro 🔒
Bećir OmeragićD 60%6 of 10 Pro 🔒
Tanguy CoulibalyM 60%6 of 10 Pro 🔒

Olympique de Marseille
Valentin RongierM 70%7 of 10 Pro 🔒
Montpellier
Jordan FerriM 60%6 of 10 Pro 🔒
Rabby NzingoulaM 60%6 of 10 Pro 🔒

Olympique de Marseille
Adrien RabiotF 40%4 of 10 Stats only
Amine GouiriF 40%4 of 10 Stats only
Mason GreenwoodF 40%4 of 10 Stats only
Montpellier
No Montpellier player in this window.

Olympique de Marseille
No Olympique de Marseille player in this window.
Montpellier
Benjamin LecomteG 70%7 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
Jérôme Brisard refereed this match 4.06cards a gameleague 3.87 77games
Jérôme Brisard'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.