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Player stats 25/26

Paris Saint-Germain v Nantes

Your slip follows you between games.

How often each Paris Saint-Germain and Nantes 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 Paris Saint-Germain v Nantes: Ousmane Dembélé (Paris Saint-Germain) leads the home side for 1+ shots on target — 8 of 10 (80%). 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.

Paris Saint-Germain
Ousmane DembéléF 100%10 of 10 Pro 🔒
João NevesM 90%9 of 10 Pro 🔒
Désiré DouéF 80%8 of 10 Pro 🔒
Achraf HakimiD 80%8 of 10 Pro 🔒
Bradley BarcolaF 80%8 of 10 Pro 🔒
Senny MayuluM 70%7 of 10 Pro 🔒
Ibrahim MbayeF 70%7 of 10 Pro 🔒
Warren Zaïre-EmeryD 60%6 of 10 Pro 🔒
Nantes
Ignatius GanagoF 90%9 of 10 Pro 🔒
Dehmaine TabibouM 80%8 of 10 Pro 🔒
Matthis AblineF 80%8 of 10 Pro 🔒
Louis LerouxM 70%7 of 10 Pro 🔒
Mostafa MohamedF 70%7 of 10 Pro 🔒
Johann LepenantM 70%7 of 10 Pro 🔒

Paris Saint-Germain
Ousmane DembéléF 80%8 of 10 Pro 🔒
Achraf HakimiD 70%7 of 10 Pro 🔒
Bradley BarcolaF 70%7 of 10 Pro 🔒
Désiré DouéF 60%6 of 10 Pro 🔒
Nantes
Mostafa MohamedF 60%6 of 10 Pro 🔒

Paris Saint-Germain
Ousmane DembéléF 70%7 of 10 Pro 🔒
Nantes
No Nantes player in this window.

Paris Saint-Germain
Ousmane DembéléF 80%8 of 10 Pro 🔒
Bradley BarcolaF 70%7 of 10 Pro 🔒
Nantes
No Nantes player in this window.

Paris Saint-Germain
Désiré DouéF 90%9 of 10 Pro 🔒
Senny MayuluM 90%9 of 10 Pro 🔒
Warren Zaïre-EmeryD 60%6 of 10 Pro 🔒
Nantes
Ibrahima SissokoM 90%9 of 10 Pro 🔒
Johann LepenantM 90%9 of 10 Pro 🔒
Ali YoussefD 78%7 of 9 Pro 🔒
Dehmaine TabibouM 60%6 of 10 Pro 🔒
Frédéric GuilbertD 60%6 of 10 Pro 🔒
Deiver MachadoD 60%6 of 10 Pro 🔒

Paris Saint-Germain
No Paris Saint-Germain player in this window.
Nantes
Ibrahima SissokoM 70%7 of 10 Pro 🔒

Paris Saint-Germain
Désiré DouéF 80%8 of 10 Pro 🔒
Senny MayuluM 80%8 of 10 Pro 🔒
Achraf HakimiD 80%8 of 10 Pro 🔒
Warren Zaïre-EmeryD 60%6 of 10 Pro 🔒
Dro FernándezM 60%6 of 10 Pro 🔒
Nantes
Deiver MachadoD 80%8 of 10 Pro 🔒
Nicolas CozzaD 80%8 of 10 Pro 🔒
Johann LepenantM 80%8 of 10 Pro 🔒
Mostafa MohamedF 70%7 of 10 Pro 🔒
Matthis AblineF 70%7 of 10 Pro 🔒
Frédéric GuilbertD 60%6 of 10 Pro 🔒

Paris Saint-Germain
No Paris Saint-Germain player in this window.
Nantes
Nicolas CozzaD 60%6 of 10 Pro 🔒

Paris Saint-Germain
Warren Zaïre-EmeryD 90%9 of 10 Pro 🔒
João NevesM 80%8 of 10 Pro 🔒
Senny MayuluM 80%8 of 10 Pro 🔒
Désiré DouéF 70%7 of 10 Pro 🔒
Ilya ZabarnyiD 60%6 of 10 Pro 🔒
Lucas HernándezD 60%6 of 10 Pro 🔒
Bradley BarcolaF 60%6 of 10 Pro 🔒
Nantes
Johann LepenantM 90%9 of 10 Pro 🔒
Dehmaine TabibouM 80%8 of 10 Pro 🔒
Deiver MachadoD 80%8 of 10 Pro 🔒
Louis LerouxM 70%7 of 10 Pro 🔒
Chidozie AwaziemD 70%7 of 10 Pro 🔒
Frédéric GuilbertD 60%6 of 10 Pro 🔒
Nicolas CozzaD 60%6 of 10 Pro 🔒

Paris Saint-Germain
No Paris Saint-Germain player in this window.
Nantes
Johann LepenantM 70%7 of 10 Pro 🔒

Paris Saint-Germain
No Paris Saint-Germain player in this window.
Nantes
Johann LepenantM 60%6 of 10 Pro 🔒

Paris Saint-Germain
Ousmane DembéléF 50%5 of 10 Stats only
Bradley BarcolaF 50%5 of 10 Stats only
Nantes
No Nantes player in this window.

Paris Saint-Germain
Ousmane DembéléF 30%3 of 10 Stats only
Nantes
No Nantes 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-14% cards vs the league average
Clement Turpin refereed this match 3.32cards a gameleague 3.87 77games
Clement Turpin'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.