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Player stats 25/26

Arsenal v Crystal Palace

Your slip follows you between games.

How often each Arsenal 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 Arsenal v Crystal Palace: Bukayo Saka (Arsenal) leads the home side for 1+ shots on target — 8 of 10 (80%); Jean-Philippe Mateta (Crystal Palace) 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.

Arsenal
Leandro TrossardF 100%10 of 10 Pro 🔒
Bukayo SakaF 100%10 of 10 Pro 🔒
Declan RiceM 90%9 of 10 Pro 🔒
Gabriel JesusF 80%8 of 10 Pro 🔒
Riccardo CalafioriD 70%7 of 10 Pro 🔒
Christian NørgaardM 60%6 of 10 Pro 🔒
Eberechi EzeM 60%6 of 10 Pro 🔒
Gabriel MartinelliF 60%6 of 10 Pro 🔒
Jurriën TimberD 60%6 of 10 Pro 🔒
Crystal Palace
Jean-Philippe MatetaF 100%10 of 10 Pro 🔒
Adam WhartonM 90%9 of 10 Pro 🔒
Eddie NketiahF 80%8 of 10 Pro 🔒
Yéremy PinoF 80%8 of 10 Pro 🔒

Arsenal
Bukayo SakaF 80%8 of 10 Pro 🔒
Crystal Palace

Arsenal
Bukayo SakaF 80%8 of 10 Pro 🔒
Declan RiceM 70%7 of 10 Pro 🔒
Leandro TrossardF 60%6 of 10 Pro 🔒
Crystal Palace

Arsenal
Jurriën TimberD 100%10 of 10 Pro 🔒
Christian NørgaardM 80%8 of 10 Pro 🔒
Riccardo CalafioriD 80%8 of 10 Pro 🔒
Gabriel JesusF 60%6 of 10 Pro 🔒
Eberechi EzeM 60%6 of 10 Pro 🔒
Bukayo SakaF 60%6 of 10 Pro 🔒
Noni MaduekeF 60%6 of 10 Pro 🔒
Crystal Palace
Borna SosaD 80%8 of 10 Pro 🔒
Eddie NketiahF 70%7 of 10 Pro 🔒
Marc GuéhiD 70%7 of 10 Pro 🔒
Yéremy PinoF 70%7 of 10 Pro 🔒
Tyrick MitchellD 70%7 of 10 Pro 🔒
Adam WhartonM 60%6 of 10 Pro 🔒
Chris RichardsD 60%6 of 10 Pro 🔒

Arsenal
Leandro TrossardF 90%9 of 10 Pro 🔒
Eberechi EzeM 90%9 of 10 Pro 🔒
Bukayo SakaF 70%7 of 10 Pro 🔒
Noni MaduekeF 70%7 of 10 Pro 🔒
Mikel MerinoM 60%6 of 10 Pro 🔒
Jurriën TimberD 60%6 of 10 Pro 🔒
Crystal Palace
Adam WhartonM 90%9 of 10 Pro 🔒
Christantus UcheM 70%7 of 10 Pro 🔒
Yéremy PinoF 70%7 of 10 Pro 🔒

Arsenal
Bukayo SakaF 70%7 of 10 Pro 🔒
Crystal Palace
No Crystal Palace player in this window.

Arsenal
Bukayo SakaF 80%8 of 10 Pro 🔒
Riccardo CalafioriD 80%8 of 10 Pro 🔒
Declan RiceM 70%7 of 10 Pro 🔒
Jurriën TimberD 70%7 of 10 Pro 🔒
Christian NørgaardM 60%6 of 10 Pro 🔒
Leandro TrossardF 60%6 of 10 Pro 🔒
Gabriel JesusF 60%6 of 10 Pro 🔒
Eberechi EzeM 60%6 of 10 Pro 🔒
Crystal Palace
Adam WhartonM 100%10 of 10 Pro 🔒
Maxence LacroixD 90%9 of 10 Pro 🔒
Borna SosaD 80%8 of 10 Pro 🔒
Marc GuéhiD 80%8 of 10 Pro 🔒
Chris RichardsD 80%8 of 10 Pro 🔒
Yéremy PinoF 80%8 of 10 Pro 🔒
Tyrick MitchellD 80%8 of 10 Pro 🔒
Jaydee CanvotD 60%6 of 10 Pro 🔒

Arsenal
Declan RiceM 70%7 of 10 Pro 🔒
Jurriën TimberD 70%7 of 10 Pro 🔒
Bukayo SakaF 60%6 of 10 Pro 🔒
Crystal Palace
Adam WhartonM 80%8 of 10 Pro 🔒
Maxence LacroixD 70%7 of 10 Pro 🔒
Chris RichardsD 70%7 of 10 Pro 🔒
Tyrick MitchellD 70%7 of 10 Pro 🔒

Arsenal
Leandro TrossardF 40%4 of 10 Stats only
Crystal Palace
Jean-Philippe MatetaF 30%3 of 10 Stats only

Arsenal
Mikel MerinoM 30%3 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
Stuart Attwell refereed this match

4 matches on record — too few to quote a card rate against. See the 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.