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SharpXIΒ©
Player stats 25/26

Southampton v Coventry City

Your slip follows you between games.

How often each Southampton and Coventry City player has hit the lines bookmakers price β€” 1+ shots on target, 2+ shots, 1+ fouls, a card β€” across their recent matches. How hit rates work ↓

Going into Southampton v Coventry City: Leo Scienza (Southampton) leads the home side for 1+ shots on target β€” 8 of 10 (80%); Victor Torp (Coventry City) 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 β€” 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
Leo ScienzaF 90%9 of 10 Pro πŸ”’
Adam ArmstrongF 90%9 of 10 Pro πŸ”’
Finn AzazF 70%7 of 10 Pro πŸ”’
Tom FellowsM 70%7 of 10 Pro πŸ”’
Cameron ArcherF 70%7 of 10 Pro πŸ”’
Ryan ManningM 60%6 of 10 Pro πŸ”’
Coventry City
Haji WrightF 80%8 of 10 Pro πŸ”’
Victor TorpM 80%8 of 10 Pro πŸ”’
Jack RudoniM 80%8 of 10 Pro πŸ”’
Ellis SimmsF 70%7 of 10 Pro πŸ”’
Josh EcclesM 60%6 of 10 Pro πŸ”’

Southampton
Adam ArmstrongF 80%8 of 10 Pro πŸ”’
Leo ScienzaF 70%7 of 10 Pro πŸ”’
Coventry City
Victor TorpM 70%7 of 10 Pro πŸ”’
Haji WrightF 60%6 of 10 Pro πŸ”’
Jack RudoniM 60%6 of 10 Pro πŸ”’
Ellis SimmsF 60%6 of 10 Pro πŸ”’

Southampton
Adam ArmstrongF 70%7 of 10 Pro πŸ”’
Coventry City
Victor TorpM 70%7 of 10 Pro πŸ”’

Southampton
Leo ScienzaF 80%8 of 10 Pro πŸ”’
Adam ArmstrongF 80%8 of 10 Pro πŸ”’
Coventry City
Victor TorpM 60%6 of 10 Pro πŸ”’
Ellis SimmsF 60%6 of 10 Pro πŸ”’

Southampton
Adam ArmstrongF 80%8 of 10 Pro πŸ”’
Coventry City
No Coventry City player in this window.

Southampton
Flynn DownesM 70%7 of 10 Pro πŸ”’
WelingtonM 60%6 of 10 Pro πŸ”’
Caspar JanderM 60%6 of 10 Pro πŸ”’
Joshua QuarshieD 60%6 of 10 Pro πŸ”’
Adam ArmstrongF 60%6 of 10 Pro πŸ”’
Coventry City
Ephron Mason-ClarkM 100%10 of 10 Pro πŸ”’
Victor TorpM 70%7 of 10 Pro πŸ”’
Haji WrightF 60%6 of 10 Pro πŸ”’

Southampton
No Southampton player in this window.
Coventry City

Southampton
Leo ScienzaF 100%10 of 10 Pro πŸ”’
Ryan ManningM 90%9 of 10 Pro πŸ”’
Finn AzazF 80%8 of 10 Pro πŸ”’
Tom FellowsM 70%7 of 10 Pro πŸ”’
Caspar JanderM 70%7 of 10 Pro πŸ”’
Flynn DownesM 60%6 of 10 Pro πŸ”’
Nathan WoodD 60%6 of 10 Pro πŸ”’
Coventry City
Ephron Mason-ClarkM 100%10 of 10 Pro πŸ”’
Josh EcclesM 80%8 of 10 Pro πŸ”’
Haji WrightF 60%6 of 10 Pro πŸ”’

Southampton
Leo ScienzaF 90%9 of 10 Pro πŸ”’
Coventry City

Southampton
Leo ScienzaF 80%8 of 10 Pro πŸ”’
Coventry City
No Coventry City player in this window.

Southampton
Caspar JanderM 100%10 of 10 Pro πŸ”’
Ryan ManningM 80%8 of 10 Pro πŸ”’
Flynn DownesM 80%8 of 10 Pro πŸ”’
Finn AzazF 70%7 of 10 Pro πŸ”’
WelingtonM 60%6 of 10 Pro πŸ”’
Coventry City

Southampton
Caspar JanderM 90%9 of 10 Pro πŸ”’
Finn AzazF 60%6 of 10 Pro πŸ”’
Ryan ManningM 60%6 of 10 Pro πŸ”’
Coventry City
No Coventry City player in this window.

Southampton
Finn AzazF 50%5 of 10 Stats only
Adam ArmstrongF 50%5 of 10 Stats only
Leo ScienzaF 30%3 of 10 Stats only
Coventry City
Ephron Mason-ClarkM 30%3 of 10 Stats only
Ellis SimmsF 30%3 of 10 Stats only

Southampton
Finn AzazF 30%3 of 10 Stats only
Tom FellowsM 30%3 of 10 Stats only
Coventry City
Victor TorpM 30%3 of 10 Stats only

Southampton
Gavin BazunuG 60%6 of 10 Stats only
Coventry City
Carl RushworthG 60%6 of 10 Stats only

πŸ”’ Model is the paid layer β€” 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 β€” 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
Adam Herczeg refereed this match 3.85cards a gameleague 4.01 34games
Adam Herczeg'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 β€” 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 β€” not a prediction or a guarantee. 18+ β€” please gamble responsibly.