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Crystal Palace v Southampton

Your slip follows you between games.

How often each Crystal Palace and Southampton 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 Crystal Palace v Southampton: Ismaïla Sarr (Crystal Palace) 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.

Crystal Palace
Jean-Philippe MatetaF 100%10 of 10 Pro 🔒
Eberechi EzeF 90%9 of 10 Pro 🔒
Daniel MuñozM 90%9 of 10 Pro 🔒
Jefferson LermaM 80%8 of 10 Pro 🔒
Ismaïla SarrF 80%8 of 10 Pro 🔒
Maxence LacroixD 70%7 of 10 Pro 🔒
Will HughesM 60%6 of 10 Pro 🔒
Trevoh ChalobahD 60%6 of 10 Pro 🔒
Southampton
Adam ArmstrongF 80%8 of 10 Pro 🔒
Mateus FernandesM 70%7 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Tyler DiblingF 60%6 of 10 Pro 🔒

Crystal Palace
Eberechi EzeF 80%8 of 10 Pro 🔒
Ismaïla SarrF 60%6 of 10 Pro 🔒
Southampton
Adam ArmstrongF 60%6 of 10 Pro 🔒

Crystal Palace
Ismaïla SarrF 70%7 of 10 Pro 🔒
Eberechi EzeF 70%7 of 10 Pro 🔒
Southampton
No Southampton player in this window.

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

Crystal Palace
Will HughesM 90%9 of 10 Pro 🔒
Daniel MuñozM 90%9 of 10 Pro 🔒
Eddie NketiahF 70%7 of 10 Pro 🔒
Maxence LacroixD 70%7 of 10 Pro 🔒
Daichi KamadaM 60%6 of 10 Pro 🔒
Southampton
Mateus FernandesM 90%9 of 10 Pro 🔒
Tyler DiblingF 70%7 of 10 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Paul OnuachuF 60%6 of 10 Pro 🔒
Adam ArmstrongF 60%6 of 10 Pro 🔒
Kyle Walker-PetersM 60%6 of 10 Pro 🔒
Nathan WoodD 60%6 of 10 Pro 🔒

Crystal Palace
Will HughesM 70%7 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Crystal Palace
Ismaïla SarrF 90%9 of 10 Pro 🔒
Will HughesM 80%8 of 10 Pro 🔒
Trevoh ChalobahD 80%8 of 10 Pro 🔒
Tyrick MitchellM 80%8 of 10 Pro 🔒
Eberechi EzeF 70%7 of 10 Pro 🔒
Jefferson LermaM 60%6 of 10 Pro 🔒
Daniel MuñozM 60%6 of 10 Pro 🔒
Southampton
Kyle Walker-PetersM 90%9 of 10 Pro 🔒
Ryan ManningD 80%8 of 10 Pro 🔒
Nathan WoodD 80%8 of 10 Pro 🔒
Mateus FernandesM 70%7 of 10 Pro 🔒
Tyler DiblingF 70%7 of 10 Pro 🔒

Crystal Palace
Ismaïla SarrF 60%6 of 10 Pro 🔒
Southampton
Kyle Walker-PetersM 80%8 of 10 Pro 🔒

Crystal Palace
Will HughesM 100%10 of 10 Pro 🔒
Maxence LacroixD 100%10 of 10 Pro 🔒
Daniel MuñozM 90%9 of 10 Pro 🔒
Tyrick MitchellM 90%9 of 10 Pro 🔒
Trevoh ChalobahD 80%8 of 10 Pro 🔒
Daichi KamadaM 70%7 of 10 Pro 🔒
Ismaïla SarrF 70%7 of 10 Pro 🔒
Chris RichardsD 70%7 of 10 Pro 🔒
Eddie NketiahF 60%6 of 10 Pro 🔒
Eberechi EzeF 60%6 of 10 Pro 🔒
Southampton
Mateus FernandesM 90%9 of 10 Pro 🔒
Joe AriboM 90%9 of 10 Pro 🔒
Nathan WoodD 80%8 of 10 Pro 🔒
Tyler DiblingF 70%7 of 10 Pro 🔒
Lesley UgochukwuM 60%6 of 10 Pro 🔒
James BreeM 60%6 of 10 Pro 🔒
Kyle Walker-PetersM 60%6 of 10 Pro 🔒

Crystal Palace
Will HughesM 80%8 of 10 Pro 🔒
Daniel MuñozM 80%8 of 10 Pro 🔒
Maxence LacroixD 80%8 of 10 Pro 🔒
Trevoh ChalobahD 60%6 of 10 Pro 🔒
Tyrick MitchellM 60%6 of 10 Pro 🔒
Southampton
Mateus FernandesM 80%8 of 10 Pro 🔒

Crystal Palace
Daniel MuñozM 70%7 of 10 Pro 🔒
Will HughesM 60%6 of 10 Pro 🔒
Maxence LacroixD 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Crystal Palace
Ismaïla SarrF 30%3 of 10 Stats only
Southampton
No Southampton player in this window.

Crystal Palace
Dean HendersonG 60%6 of 10 Stats only
Southampton
Aaron RamsdaleG 70%7 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
Michael Salisbury refereed this match 4.08cards a gameleague 4.08 59games
Michael Salisbury'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.