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Player stats 25/26

Wolves v Crystal Palace

Your slip follows you between games.

How often each Wolves and Crystal Palace 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 Wolves v Crystal Palace: Jean-Philippe Mateta (Crystal Palace) tops the visitors 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.

Wolves
Marshall MunetsiM 80%8 of 10 Pro 🔒
Jhon AriasM 70%7 of 10 Pro 🔒
Ladislav KrejčíD 70%7 of 10 Pro 🔒
Crystal Palace
Jean-Philippe MatetaF 100%10 of 10 Pro 🔒
Ismaïla SarrF 90%9 of 10 Pro 🔒
Eddie NketiahF 90%9 of 10 Pro 🔒
Yéremy PinoF 80%8 of 10 Pro 🔒
Adam WhartonM 70%7 of 10 Pro 🔒
Marc GuéhiD 70%7 of 10 Pro 🔒
Daniel MuñozM 60%6 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Crystal Palace

Wolves
No Wolves player in this window.
Crystal Palace
Ismaïla SarrF 60%6 of 10 Pro 🔒

Wolves
João GomesM 90%9 of 10 Pro 🔒
Ladislav KrejčíD 80%8 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Crystal Palace
Eddie NketiahF 90%9 of 10 Pro 🔒
Daichi KamadaM 80%8 of 10 Pro 🔒
Justin DevennyM 70%7 of 10 Pro 🔒
Daniel MuñozM 70%7 of 10 Pro 🔒
Yéremy PinoF 70%7 of 10 Pro 🔒
Jaydee CanvotD 60%6 of 10 Pro 🔒
Will HughesM 60%6 of 10 Pro 🔒
Chris RichardsD 60%6 of 10 Pro 🔒

Wolves
João GomesM 60%6 of 10 Pro 🔒
Crystal Palace
No Crystal Palace player in this window.

Wolves
AndréM 70%7 of 10 Pro 🔒
João GomesM 60%6 of 10 Pro 🔒
Marshall MunetsiM 60%6 of 10 Pro 🔒
Crystal Palace
Daichi KamadaM 80%8 of 10 Pro 🔒
Yéremy PinoF 80%8 of 10 Pro 🔒
Ismaïla SarrF 70%7 of 10 Pro 🔒
Eddie NketiahF 70%7 of 10 Pro 🔒
Maxence LacroixD 70%7 of 10 Pro 🔒
Daniel MuñozM 60%6 of 10 Pro 🔒
Marc GuéhiD 60%6 of 10 Pro 🔒

Wolves
Hugo BuenoD 90%9 of 10 Pro 🔒
João GomesM 90%9 of 10 Pro 🔒
Marshall MunetsiM 90%9 of 10 Pro 🔒
Emmanuel AgbadouD 80%8 of 10 Pro 🔒
AndréM 80%8 of 10 Pro 🔒
Jhon AriasM 70%7 of 10 Pro 🔒
Crystal Palace
Daichi KamadaM 100%10 of 10 Pro 🔒
Chris RichardsD 100%10 of 10 Pro 🔒
Daniel MuñozM 90%9 of 10 Pro 🔒
Marc GuéhiD 90%9 of 10 Pro 🔒
Tyrick MitchellM 90%9 of 10 Pro 🔒
Maxence LacroixD 80%8 of 10 Pro 🔒
Justin DevennyM 70%7 of 10 Pro 🔒
Adam WhartonM 70%7 of 10 Pro 🔒
Ismaïla SarrF 70%7 of 10 Pro 🔒
Yéremy PinoF 70%7 of 10 Pro 🔒
Jaydee CanvotD 60%6 of 10 Pro 🔒

Wolves
João GomesM 70%7 of 10 Pro 🔒
Hugo BuenoD 60%6 of 10 Pro 🔒
Jhon AriasM 60%6 of 10 Pro 🔒
Marshall MunetsiM 60%6 of 10 Pro 🔒
Crystal Palace
Tyrick MitchellM 90%9 of 10 Pro 🔒
Daichi KamadaM 60%6 of 10 Pro 🔒
Chris RichardsD 60%6 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Crystal Palace
Tyrick MitchellM 70%7 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Crystal Palace
Ismaïla SarrF 40%4 of 10 Stats only
Jean-Philippe MatetaF 40%4 of 10 Stats only

Wolves
Sam JohnstoneG 60%6 of 10 Stats only
Crystal Palace
No Crystal Palace 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
Anthony Taylor refereed this match 4.01cards a gameleague 4.08 119games
Anthony Taylor'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.