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Player stats 23/24

Southampton v Rotherham United

Your slip follows you between games.

How often each Southampton and Rotherham United 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 Rotherham United: Adam Armstrong (Southampton) 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.

Southampton
Carlos AlcarazM 100%10 of 10 Pro 🔒
Adam ArmstrongF 90%9 of 10 Pro 🔒
Will SmallboneM 90%9 of 10 Pro 🔒
Samuel EdozieM 70%7 of 10 Pro 🔒
Stuart ArmstrongM 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Che AdamsF 70%7 of 10 Pro 🔒
Rotherham United
Jordan HugillF 80%8 of 10 Pro 🔒
Fred OnyedinmaM 80%8 of 10 Pro 🔒
Andre GreenM 62%5 of 8 Pro 🔒

Southampton
Adam ArmstrongF 90%9 of 10 Pro 🔒
Will SmallboneM 60%6 of 10 Pro 🔒
Rotherham United
No Rotherham United player in this window.

Southampton
Adam ArmstrongF 70%7 of 10 Pro 🔒
Carlos AlcarazM 60%6 of 10 Pro 🔒
Rotherham United
No Rotherham United player in this window.

Southampton
Che AdamsF 70%7 of 10 Pro 🔒
Will SmallboneM 70%7 of 10 Pro 🔒
Adam ArmstrongF 60%6 of 10 Pro 🔒
Rotherham United
Jordan HugillF 90%9 of 10 Pro 🔒
Oliver RathboneM 80%8 of 10 Pro 🔒
Sebastian RevanD 75%3 of 4 Pro 🔒
Christ Junior TiehiM 70%7 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Rotherham United
Oliver RathboneM 70%7 of 10 Pro 🔒
Jordan HugillF 60%6 of 10 Pro 🔒

Southampton
Kyle Walker-PetersD 100%10 of 10 Pro 🔒
Flynn DownesM 80%8 of 10 Pro 🔒
Ryan FraserM 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Samuel EdozieM 60%6 of 10 Pro 🔒
Rotherham United
Fred OnyedinmaM 80%8 of 10 Pro 🔒
CafúM 71%5 of 7 Pro 🔒
Jordan HugillF 70%7 of 10 Pro 🔒
Andre GreenM 62%5 of 8 Pro 🔒
Christ Junior TiehiM 60%6 of 10 Pro 🔒

Southampton
Kyle Walker-PetersD 90%9 of 10 Pro 🔒
Rotherham United
No Rotherham United player in this window.

Southampton
Flynn DownesM 90%9 of 10 Pro 🔒
Samuel EdozieM 80%8 of 10 Pro 🔒
Kyle Walker-PetersD 80%8 of 10 Pro 🔒
Will SmallboneM 80%8 of 10 Pro 🔒
Carlos AlcarazM 70%7 of 10 Pro 🔒
Ryan ManningD 70%7 of 10 Pro 🔒
Kamaldeen SulemanaF 60%6 of 10 Pro 🔒
Jan BednarekD 60%6 of 10 Pro 🔒
Rotherham United
Sebastian RevanD 100%4 of 4 Pro 🔒
Grant HallD 90%9 of 10 Pro 🔒
Fred OnyedinmaM 90%9 of 10 Pro 🔒
Oliver RathboneM 90%9 of 10 Pro 🔒
Dexter LembikisaD 80%8 of 10 Pro 🔒
Christ Junior TiehiM 80%8 of 10 Pro 🔒
Sam ClucasM 70%7 of 10 Pro 🔒
Cohen BramallD 70%7 of 10 Pro 🔒
Lee PeltierD 60%6 of 10 Pro 🔒

Southampton
Flynn DownesM 60%6 of 10 Pro 🔒
Will SmallboneM 60%6 of 10 Pro 🔒
Rotherham United
Oliver RathboneM 70%7 of 10 Pro 🔒
Lee PeltierD 60%6 of 10 Pro 🔒

Southampton
Adam ArmstrongF 50%5 of 10 Stats only
Che AdamsF 30%3 of 10 Stats only
Rotherham United
No Rotherham United player in this window.

Southampton
Gavin BazunuG 60%6 of 10 Stats only
Rotherham United
Viktor JohanssonG 80%8 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
John Busby refereed this match 3.80cards a gameleague 4.01 101games
John Busby'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.