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Toulouse v Saint-Étienne

Your slip follows you between games.

How often each Toulouse and Saint-Étienne 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 Toulouse v Saint-Étienne: Joshua King (Toulouse) leads the home side for 1+ shots on target — 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.

Toulouse
Joshua KingF 100%10 of 10 Pro 🔒
Zakaria AboukhlalF 90%9 of 10 Pro 🔒
Charlie CresswellD 70%7 of 10 Pro 🔒
Aron DønnumM 70%7 of 10 Pro 🔒
Yann GbohoF 60%6 of 10 Pro 🔒
Saint-Étienne
Zuriko DavitashviliF 80%8 of 10 Pro 🔒
Ibrahim SissokoF 60%6 of 10 Pro 🔒

Toulouse
Zakaria AboukhlalF 70%7 of 10 Pro 🔒
Joshua KingF 60%6 of 10 Pro 🔒
Saint-Étienne
Zuriko DavitashviliF 60%6 of 10 Pro 🔒

Toulouse
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
Saint-Étienne
No Saint-Étienne player in this window.

Toulouse
Joshua KingF 70%7 of 10 Pro 🔒
Zakaria AboukhlalF 70%7 of 10 Pro 🔒
Saint-Étienne
No Saint-Étienne player in this window.

Toulouse
Zakaria AboukhlalF 90%9 of 10 Pro 🔒
Joshua KingF 80%8 of 10 Pro 🔒
Aron DønnumM 80%8 of 10 Pro 🔒
Vincent SierroM 70%7 of 10 Pro 🔒
Mark McKenzieD 70%7 of 10 Pro 🔒
Djibril SidibéD 60%6 of 10 Pro 🔒
Gabriel SuazoM 60%6 of 10 Pro 🔒
Yann GbohoF 60%6 of 10 Pro 🔒
Saint-Étienne
Lucas StassinF 90%9 of 10 Pro 🔒
Ibrahim SissokoF 90%9 of 10 Pro 🔒
Yunis AbdelhamidD 80%8 of 10 Pro 🔒
Ayman AikiF 75%3 of 4 Pro 🔒
Dennis AppiahM 70%7 of 10 Pro 🔒
Louis MoutonM 60%6 of 10 Pro 🔒
Dylan BatubinsikaD 60%6 of 10 Pro 🔒
Pierre EkwahM 60%6 of 10 Pro 🔒

Toulouse
Zakaria AboukhlalF 60%6 of 10 Pro 🔒
Aron DønnumM 60%6 of 10 Pro 🔒
Saint-Étienne
Ibrahim SissokoF 70%7 of 10 Pro 🔒

Toulouse
Aron DønnumM 90%9 of 10 Pro 🔒
Yann GbohoF 80%8 of 10 Pro 🔒
Vincent SierroM 70%7 of 10 Pro 🔒
Gabriel SuazoM 70%7 of 10 Pro 🔒
Zakaria AboukhlalF 70%7 of 10 Pro 🔒
Joshua KingF 60%6 of 10 Pro 🔒
Djibril SidibéD 60%6 of 10 Pro 🔒
Saint-Étienne
Léo PétrotD 70%7 of 10 Pro 🔒
Ibrahim SissokoF 70%7 of 10 Pro 🔒
Zuriko DavitashviliF 70%7 of 10 Pro 🔒
Pierre EkwahM 70%7 of 10 Pro 🔒

Toulouse
Aron DønnumM 70%7 of 10 Pro 🔒
Yann GbohoF 60%6 of 10 Pro 🔒
Saint-Étienne
No Saint-Étienne player in this window.

Toulouse
Djibril SidibéD 100%10 of 10 Pro 🔒
Cristian Cásseres Jr.M 100%10 of 10 Pro 🔒
Gabriel SuazoM 90%9 of 10 Pro 🔒
Mark McKenzieD 90%9 of 10 Pro 🔒
Vincent SierroM 80%8 of 10 Pro 🔒
Yann GbohoF 80%8 of 10 Pro 🔒
Zakaria AboukhlalF 70%7 of 10 Pro 🔒
Joshua KingF 60%6 of 10 Pro 🔒
Charlie CresswellD 60%6 of 10 Pro 🔒
Waren KamanziD 60%6 of 10 Pro 🔒
Saint-Étienne
Lamine FombaM 100%4 of 4 Pro 🔒
Dennis AppiahM 90%9 of 10 Pro 🔒
Léo PétrotD 90%9 of 10 Pro 🔒
Pierre EkwahM 90%9 of 10 Pro 🔒
Louis MoutonM 70%7 of 10 Pro 🔒
Yunis AbdelhamidD 70%7 of 10 Pro 🔒
Benjamin BouchouariM 60%6 of 10 Pro 🔒
Mathis AmougouM 60%6 of 10 Pro 🔒

Toulouse
Djibril SidibéD 80%8 of 10 Pro 🔒
Vincent SierroM 60%6 of 10 Pro 🔒
Gabriel SuazoM 60%6 of 10 Pro 🔒
Mark McKenzieD 60%6 of 10 Pro 🔒
Saint-Étienne
Léo PétrotD 80%8 of 10 Pro 🔒
Benjamin BouchouariM 60%6 of 10 Pro 🔒
Pierre EkwahM 60%6 of 10 Pro 🔒

Toulouse
Saint-Étienne
Léo PétrotD 70%7 of 10 Pro 🔒

Toulouse
Joshua KingF 40%4 of 10 Stats only
Zakaria AboukhlalF 30%3 of 10 Stats only
Saint-Étienne
No Saint-Étienne player in this window.

Toulouse
No Toulouse player in this window.
Saint-Étienne
Lucas StassinF 30%3 of 10 Stats only

Toulouse
No Toulouse player in this window.
Saint-Étienne
Gautier LarsonneurG 80%8 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
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.