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Southampton v Stoke City

Your slip follows you between games.

How often each Southampton and Stoke City 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 Southampton v Stoke City: Adam Armstrong (Southampton) leads the home side for 1+ shots — 8 of 10 (80%); Million Manhoef (Stoke City) tops the visitors on 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.

Southampton
Adam ArmstrongF 80%8 of 10 Pro 🔒
Ben Brereton DíazF 80%8 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Paul OnuachuF 60%6 of 10 Pro 🔒
Joe AriboM 60%6 of 10 Pro 🔒
Stoke City
Million ManhoefF 80%8 of 10 Pro 🔒
Andrew MoranM 70%7 of 10 Pro 🔒
Lewis KoumasF 70%7 of 10 Pro 🔒

Southampton
Ben Brereton DíazF 70%7 of 10 Pro 🔒
Adam ArmstrongF 60%6 of 10 Pro 🔒
Stoke City
No Stoke City player in this window.

Southampton
Mateus FernandesM 88%7 of 8 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Ben Brereton DíazF 70%7 of 10 Pro 🔒
Stoke City
Million ManhoefF 90%9 of 10 Pro 🔒
Thomas CannonF 70%7 of 10 Pro 🔒
Lewis KoumasF 70%7 of 10 Pro 🔒
Wouter BurgerM 70%7 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Stoke City
Wouter BurgerM 60%6 of 10 Pro 🔒

Southampton
Joe AriboM 80%8 of 10 Pro 🔒
Ben Brereton DíazF 70%7 of 10 Pro 🔒
Mateus FernandesM 62%5 of 8 Pro 🔒
Yukinari SugawaraD 62%5 of 8 Pro 🔒
Kamaldeen SulemanaM 60%6 of 10 Pro 🔒
Stoke City
Andrew MoranM 80%8 of 10 Pro 🔒
Eric BocatD 60%6 of 10 Pro 🔒
Lewis KoumasF 60%6 of 10 Pro 🔒
Jordan ThompsonM 60%6 of 10 Pro 🔒
Million ManhoefF 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesM 88%7 of 8 Pro 🔒
Yukinari SugawaraD 88%7 of 8 Pro 🔒
Lesley UgochukwuM 70%7 of 10 Pro 🔒
James BreeD 70%7 of 10 Pro 🔒
Stoke City
Andrew MoranM 100%10 of 10 Pro 🔒
Wouter BurgerM 90%9 of 10 Pro 🔒
Eric BocatD 80%8 of 10 Pro 🔒
Lewis KoumasF 70%7 of 10 Pro 🔒
Junior TchamadeuD 60%6 of 10 Pro 🔒
Ashley PhillipsD 60%6 of 10 Pro 🔒
Jordan ThompsonM 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesM 88%7 of 8 Pro 🔒
Yukinari SugawaraD 88%7 of 8 Pro 🔒
Stoke City
No Stoke City player in this window.

Southampton
Adam ArmstrongF 30%3 of 10 Stats only
Stoke City
No Stoke City player in this window.

Southampton
Aaron RamsdaleG 70%7 of 10 Stats only
Stoke City
Jack BonhamG 60%6 of 10 Stats only

Southampton
No Southampton player in this window.
Stoke City
Jack BonhamG 60%6 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
Lewis Smith refereed this match

9 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.