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SharpXI©
Player stats 25/26

Metz v Paris Saint-Germain

Your slip follows you between games.

How often each Metz and Paris Saint-Germain 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 Metz v Paris Saint-Germain: Habibou Diallo (Metz) leads the home side for 1+ shots on target — 6 of 10 (60%); Bradley Barcola (Paris Saint-Germain) tops the visitors on 10 of 10 (100%). 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.

Metz
Habibou DialloF 90%9 of 10 Pro 🔒
Giorgi AbuashviliF 78%7 of 9 Pro 🔒
Gauthier HeinM 70%7 of 10 Pro 🔒
Giorgi TsitaishviliM 70%7 of 10 Pro 🔒
Paris Saint-Germain
Khvicha KvaratskheliaF 100%10 of 10 Pro 🔒
Kang-in LeeF 100%10 of 10 Pro 🔒
Bradley BarcolaF 100%10 of 10 Pro 🔒
VitinhaM 80%8 of 10 Pro 🔒
Warren Zaïre-EmeryD 60%6 of 10 Pro 🔒
Désiré DouéF 60%6 of 10 Pro 🔒
Ibrahim MbayeF 60%6 of 10 Pro 🔒
Fabián RuizM 60%6 of 10 Pro 🔒
Gonçalo RamosF 60%6 of 10 Pro 🔒

Metz
Habibou DialloF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Khvicha KvaratskheliaF 100%10 of 10 Pro 🔒
Bradley BarcolaF 80%8 of 10 Pro 🔒
Kang-in LeeF 60%6 of 10 Pro 🔒

Metz
Habibou DialloF 60%6 of 10 Pro 🔒
Paris Saint-Germain
Bradley BarcolaF 100%10 of 10 Pro 🔒

Metz
No Metz player in this window.
Paris Saint-Germain
Bradley BarcolaF 60%6 of 10 Pro 🔒

Metz
Sadibou SanéD 70%7 of 10 Pro 🔒
Alpha TouréM 70%7 of 10 Pro 🔒
Habibou DialloF 70%7 of 10 Pro 🔒
Boubacar TraoréM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Lucas BeraldoD 70%7 of 10 Pro 🔒
Warren Zaïre-EmeryD 70%7 of 10 Pro 🔒
Lucas HernándezD 70%7 of 10 Pro 🔒
Quentin NdjantouM 67%6 of 9 Pro 🔒
Ilya ZabarnyiD 60%6 of 10 Pro 🔒
Bradley BarcolaF 60%6 of 10 Pro 🔒

Metz
Habibou DialloF 80%8 of 10 Pro 🔒
Koffi KouaoD 80%8 of 10 Pro 🔒
Gauthier HeinM 70%7 of 10 Pro 🔒
Giorgi TsitaishviliM 60%6 of 10 Pro 🔒
Jessy DeminguetM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Désiré DouéF 90%9 of 10 Pro 🔒
VitinhaM 70%7 of 10 Pro 🔒
Lucas HernándezD 60%6 of 10 Pro 🔒

Metz
Koffi KouaoD 100%10 of 10 Pro 🔒
Sadibou SanéD 90%9 of 10 Pro 🔒
Giorgi AbuashviliF 89%8 of 9 Pro 🔒
Jessy DeminguetM 80%8 of 10 Pro 🔒
Boubacar TraoréM 80%8 of 10 Pro 🔒
Benjamin StambouliM 70%7 of 10 Pro 🔒
Maxime ColinD 70%7 of 10 Pro 🔒
Alpha TouréM 60%6 of 10 Pro 🔒
Paris Saint-Germain
Warren Zaïre-EmeryD 100%10 of 10 Pro 🔒
Désiré DouéF 80%8 of 10 Pro 🔒
Ilya ZabarnyiD 70%7 of 10 Pro 🔒
Willian PachoD 70%7 of 10 Pro 🔒
Lucas BeraldoD 60%6 of 10 Pro 🔒

Metz
Sadibou SanéD 70%7 of 10 Pro 🔒
Koffi KouaoD 70%7 of 10 Pro 🔒
Maxime ColinD 60%6 of 10 Pro 🔒
Boubacar TraoréM 60%6 of 10 Pro 🔒
Paris Saint-Germain
No Paris Saint-Germain player in this window.

Metz
Gauthier HeinM 40%4 of 10 Stats only
Habibou DialloF 30%3 of 10 Stats only
Paris Saint-Germain
Bradley BarcolaF 40%4 of 10 Stats only
Gonçalo RamosF 30%3 of 10 Stats only

Metz
No Metz player in this window.
Paris Saint-Germain
Khvicha KvaratskheliaF 30%3 of 10 Stats only
VitinhaM 30%3 of 10 Stats only

Metz
Jonathan FischerG 60%6 of 10 Stats only
Paris Saint-Germain
No Paris Saint-Germain 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
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.