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Player stats 23/24

Montpellier v Lorient

Your slip follows you between games.

How often each Montpellier and Lorient 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 Montpellier v Lorient: Teji Savanier (Montpellier) leads the home side for 1+ shots on target — 10 of 10 (100%); Mohamed Bamba (Lorient) tops the visitors on 6 of 9 (67%). 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.

Montpellier
Teji SavanierM 100%10 of 10 Pro 🔒
Wahbi KhazriF 90%9 of 10 Pro 🔒
Arnaud NordinM 70%7 of 10 Pro 🔒
Mousa TamariM 60%6 of 10 Pro 🔒
Joris ChotardM 60%6 of 10 Pro 🔒
Lorient
Mohamed BambaF 100%9 of 9 Pro 🔒
Eli Junior KroupiM 70%7 of 10 Pro 🔒
Julien PonceauM 70%7 of 10 Pro 🔒
Panos KatserisM 62%5 of 8 Pro 🔒
Tiemoué BakayokoM 60%6 of 10 Pro 🔒
Imrân LouzaM 60%6 of 10 Pro 🔒

Montpellier
Teji SavanierM 70%7 of 10 Pro 🔒
Wahbi KhazriF 60%6 of 10 Pro 🔒
Lorient
Mohamed BambaF 67%6 of 9 Pro 🔒

Montpellier
Teji SavanierM 100%10 of 10 Pro 🔒
Wahbi KhazriF 70%7 of 10 Pro 🔒
Lorient
Mohamed BambaF 67%6 of 9 Pro 🔒

Montpellier
Modibo SagnanD 83%5 of 6 Pro 🔒
Bećir OmeragićD 80%8 of 10 Pro 🔒
Jordan FerriM 70%7 of 10 Pro 🔒
Teji SavanierM 70%7 of 10 Pro 🔒
Lorient
Isaak TouréD 80%8 of 10 Pro 🔒
Tiemoué BakayokoM 80%8 of 10 Pro 🔒
Imrân LouzaM 80%8 of 10 Pro 🔒
Panos KatserisM 75%6 of 8 Pro 🔒
Laurent AbergelM 70%7 of 10 Pro 🔒
Formose MendyD 70%7 of 10 Pro 🔒
Mohamed BambaF 67%6 of 9 Pro 🔒
Julien PonceauM 60%6 of 10 Pro 🔒

Montpellier
Modibo SagnanD 67%4 of 6 Pro 🔒
Lorient
Laurent AbergelM 60%6 of 10 Pro 🔒

Montpellier
Teji SavanierM 90%9 of 10 Pro 🔒
Mousa TamariM 90%9 of 10 Pro 🔒
Jordan FerriM 80%8 of 10 Pro 🔒
Arnaud NordinM 70%7 of 10 Pro 🔒
Lucas MincarelliD 67%6 of 9 Pro 🔒
Bećir OmeragićD 60%6 of 10 Pro 🔒
Lorient
Ayman KariF 90%9 of 10 Pro 🔒
Laurent AbergelM 80%8 of 10 Pro 🔒
Julien PonceauM 80%8 of 10 Pro 🔒
Panos KatserisM 75%6 of 8 Pro 🔒
Isaak TouréD 60%6 of 10 Pro 🔒
Tiemoué BakayokoM 60%6 of 10 Pro 🔒

Montpellier
Teji SavanierM 80%8 of 10 Pro 🔒
Lorient
Ayman KariF 70%7 of 10 Pro 🔒

Montpellier
Bećir OmeragićD 100%10 of 10 Pro 🔒
Joris ChotardM 100%10 of 10 Pro 🔒
Modibo SagnanD 100%6 of 6 Pro 🔒
Enzo Tchato MbiayiD 90%9 of 10 Pro 🔒
Lucas MincarelliD 89%8 of 9 Pro 🔒
Jordan FerriM 60%6 of 10 Pro 🔒
Teji SavanierM 60%6 of 10 Pro 🔒
Lorient
Formose MendyD 100%10 of 10 Pro 🔒
Ayman KariF 90%9 of 10 Pro 🔒
Laurent AbergelM 80%8 of 10 Pro 🔒
Darlin YongwaM 80%8 of 10 Pro 🔒
Panos KatserisM 75%6 of 8 Pro 🔒
Isaak TouréD 70%7 of 10 Pro 🔒
Tiemoué BakayokoM 70%7 of 10 Pro 🔒
Nathaniel AdjeiD 67%6 of 9 Pro 🔒
Julien PonceauM 60%6 of 10 Pro 🔒

Montpellier
Modibo SagnanD 100%6 of 6 Pro 🔒
Joris ChotardM 80%8 of 10 Pro 🔒
Lorient
Panos KatserisM 62%5 of 8 Pro 🔒
Ayman KariF 60%6 of 10 Pro 🔒
Formose MendyD 60%6 of 10 Pro 🔒

Montpellier
Modibo SagnanD 67%4 of 6 Pro 🔒
Lorient
Panos KatserisM 62%5 of 8 Pro 🔒

Montpellier
Teji SavanierM 60%6 of 10 Pro 🔒
Lorient
No Lorient player in this window.

Montpellier
Modibo SagnanD 67%4 of 6 Pro 🔒
Lorient
No Lorient player in this window.

Montpellier
Teji SavanierM 40%4 of 10 Stats only
Arnaud NordinM 30%3 of 10 Stats only
Lorient
Mohamed BambaF 56%5 of 9 Stats only

Montpellier
No Montpellier player in this window.
Lorient
Imrân LouzaM 40%4 of 10 Stats only

Montpellier
Benjamin LecomteG 70%7 of 10 Stats only
Lorient
Yvon MvogoG 70%7 of 10 Stats only

Montpellier
No Montpellier player in this window.
Lorient
Yvon MvogoG 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
Romain Lissorgue refereed this match 4.05cards a gameleague 3.87 40games
Romain Lissorgue'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.