Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 24/25

Montpellier v Toulouse

Your slip follows you between games.

How often each Montpellier and Toulouse 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 Toulouse: Arnaud Nordin (Montpellier) leads the home side for 1+ shots on target — 6 of 10 (60%); Zakaria Aboukhlal (Toulouse) tops the visitors on 6 of 10 (60%). 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 90%9 of 10 Pro 🔒
Arnaud NordinM 90%9 of 10 Pro 🔒
Akor AdamsF 90%9 of 10 Pro 🔒
Wahbi KhazriM 70%7 of 10 Pro 🔒
Othmane MaammaF 67%2 of 3 Pro 🔒
Birama TouréM 60%6 of 10 Pro 🔒
Mousa TamariF 60%6 of 10 Pro 🔒
Toulouse
Yann GbohoF 90%9 of 10 Pro 🔒
Joshua KingF 83%5 of 6 Pro 🔒
Zakaria AboukhlalF 80%8 of 10 Pro 🔒
Frank MagriF 70%7 of 10 Pro 🔒
Shavy BabickaF 60%6 of 10 Pro 🔒

Montpellier
Teji SavanierM 70%7 of 10 Pro 🔒
Arnaud NordinM 70%7 of 10 Pro 🔒
Akor AdamsF 60%6 of 10 Pro 🔒
Toulouse
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
Yann GbohoF 60%6 of 10 Pro 🔒

Montpellier
Arnaud NordinM 60%6 of 10 Pro 🔒
Akor AdamsF 60%6 of 10 Pro 🔒
Toulouse
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
Yann GbohoF 60%6 of 10 Pro 🔒

Montpellier
Rabby NzingoulaM 90%9 of 10 Pro 🔒
Jordan FerriM 80%8 of 10 Pro 🔒
Modibo SagnanD 80%8 of 10 Pro 🔒
Akor AdamsF 80%8 of 10 Pro 🔒
Teji SavanierM 60%6 of 10 Pro 🔒
Toulouse
Zakaria AboukhlalF 90%9 of 10 Pro 🔒
Vincent SierroM 70%7 of 10 Pro 🔒
Aron DønnumM 70%7 of 10 Pro 🔒
Joshua KingF 67%4 of 6 Pro 🔒
Miha ZajcM 60%3 of 5 Pro 🔒

Montpellier
Teji SavanierM 60%6 of 10 Pro 🔒
Toulouse

Montpellier
Arnaud NordinM 100%10 of 10 Pro 🔒
Teji SavanierM 80%8 of 10 Pro 🔒
Jordan FerriM 70%7 of 10 Pro 🔒
Birama TouréM 70%7 of 10 Pro 🔒
Mousa TamariF 70%7 of 10 Pro 🔒
Modibo SagnanD 70%7 of 10 Pro 🔒
Othmane MaammaF 67%2 of 3 Pro 🔒
Rabby NzingoulaM 60%6 of 10 Pro 🔒
Wahbi KhazriM 60%6 of 10 Pro 🔒
Toulouse
Cristian Cásseres Jr.M 100%10 of 10 Pro 🔒
Yann GbohoF 100%10 of 10 Pro 🔒
Aron DønnumM 70%7 of 10 Pro 🔒
Joshua KingF 67%4 of 6 Pro 🔒
Vincent SierroM 60%6 of 10 Pro 🔒
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
Denis GenreauM 60%6 of 10 Pro 🔒

Montpellier
Arnaud NordinM 80%8 of 10 Pro 🔒
Teji SavanierM 70%7 of 10 Pro 🔒
Mousa TamariF 60%6 of 10 Pro 🔒
Toulouse
Yann GbohoF 80%8 of 10 Pro 🔒

Montpellier
Arnaud NordinM 70%7 of 10 Pro 🔒
Toulouse
Yann GbohoF 70%7 of 10 Pro 🔒

Montpellier
Birama TouréM 90%9 of 10 Pro 🔒
Modibo SagnanD 90%9 of 10 Pro 🔒
Enzo Tchato MbiayiD 80%8 of 10 Pro 🔒
Arnaud NordinM 80%8 of 10 Pro 🔒
Rabby NzingoulaM 70%7 of 10 Pro 🔒
Othmane MaammaF 67%2 of 3 Pro 🔒
Teji SavanierM 60%6 of 10 Pro 🔒
Issiaga SyllaD 60%6 of 10 Pro 🔒
Wahbi KhazriM 60%6 of 10 Pro 🔒
Falaye SackoD 60%6 of 10 Pro 🔒
Toulouse
Cristian Cásseres Jr.M 100%10 of 10 Pro 🔒
Mark McKenzieD 83%5 of 6 Pro 🔒
Djibril SidibéD 75%6 of 8 Pro 🔒
Waren KamanziM 70%7 of 10 Pro 🔒
Vincent SierroM 70%7 of 10 Pro 🔒
Yann GbohoF 70%7 of 10 Pro 🔒
Denis GenreauM 60%6 of 10 Pro 🔒
Aron DønnumM 60%6 of 10 Pro 🔒

Montpellier
Birama TouréM 70%7 of 10 Pro 🔒
Modibo SagnanD 60%6 of 10 Pro 🔒
Toulouse

Montpellier
Othmane MaammaF 33%1 of 3 Stats only
Toulouse
Shavy BabickaF 30%3 of 10 Stats only
Yann GbohoF 30%3 of 10 Stats only

Montpellier
Benjamin LecomteG 80%8 of 10 Stats only
Toulouse
No Toulouse 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
Thomas Leonard refereed this match 3.73cards a gameleague 3.87 74games
Thomas Leonard'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.