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Player stats · 22/23

Leeds v Southampton

Your slip follows you between games.

How often each Leeds 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 Leeds v Southampton: Wilfried Gnonto (Leeds) leads the home side for 1+ shots on target — 6 of 10 (60%); Paul Onuachu (Southampton) tops the visitors on 2 of 3 (67%). 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

Leeds
Brenden AaronsonM 100%10 of 10 Pro 🔒
Jack HarrisonM 90%9 of 10 Pro 🔒
Patrick BamfordF 80%8 of 10 Pro 🔒
Wilfried GnontoM 80%8 of 10 Pro 🔒
Maximilian WöberD 67%4 of 6 Pro 🔒
Georginio RutterF 60%6 of 10 Pro 🔒
Southampton
James Ward-ProwseM 80%8 of 10 Pro 🔒
Mohamed ElyounoussiM 80%8 of 10 Pro 🔒
Adam ArmstrongF 70%7 of 10 Pro 🔒
Paul OnuachuF 67%2 of 3 Pro 🔒
Kamaldeen SulemanaF 60%6 of 10 Pro 🔒

Leeds
Patrick BamfordF 60%6 of 10 Pro 🔒
Wilfried GnontoM 60%6 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Leeds
Wilfried GnontoM 60%6 of 10 Pro 🔒
Southampton
Paul OnuachuF 67%2 of 3 Pro 🔒

Leeds
Tyler AdamsM 90%9 of 10 Pro 🔒
Wilfried GnontoM 70%7 of 10 Pro 🔒
Georginio RutterF 70%7 of 10 Pro 🔒
Marc RocaM 70%7 of 10 Pro 🔒
Robin KochD 60%6 of 10 Pro 🔒
Weston McKennieM 60%6 of 10 Pro 🔒
Jack HarrisonM 60%6 of 10 Pro 🔒
Southampton
Roméo LaviaM 80%8 of 10 Pro 🔒
Mohamed ElyounoussiM 80%8 of 10 Pro 🔒
James Ward-ProwseM 70%7 of 10 Pro 🔒
Kyle Walker-PetersD 70%7 of 10 Pro 🔒
Paul OnuachuF 67%2 of 3 Pro 🔒
Romain PerraudD 60%6 of 10 Pro 🔒

Leeds
No Leeds player in this window.
Southampton
Paul OnuachuF 67%2 of 3 Pro 🔒

Leeds
Wilfried GnontoM 90%9 of 10 Pro 🔒
Luke AylingD 80%8 of 10 Pro 🔒
Tyler AdamsM 70%7 of 10 Pro 🔒
Brenden AaronsonM 70%7 of 10 Pro 🔒
Georginio RutterF 70%7 of 10 Pro 🔒
Jack HarrisonM 60%6 of 10 Pro 🔒
Marc RocaM 60%6 of 10 Pro 🔒
Southampton
Armel Bella-KotchapD 80%8 of 10 Pro 🔒
Kyle Walker-PetersD 80%8 of 10 Pro 🔒
Paul OnuachuF 67%2 of 3 Pro 🔒

Leeds
Wilfried GnontoM 90%9 of 10 Pro 🔒
Southampton
No Southampton player in this window.

Leeds
Crysencio SummervilleM 40%4 of 10 Stats only
Southampton
James Ward-ProwseM 40%4 of 10 Stats only

Leeds
Illan MeslierG 70%7 of 10 Stats only
Southampton
No Southampton 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
Peter Bankes refereed this match 4.24cards a game· league 4.08 78games
Peter Bankes'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.