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Player stats 24/25

Southampton v Tottenham

Your slip follows you between games.

How often each Southampton and Tottenham 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 Tottenham: Brennan Johnson (Tottenham) tops the visitors for 1+ shots on target — 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 — 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
Tyler DiblingM 70%7 of 10 Pro 🔒
Cameron ArcherF 70%7 of 10 Pro 🔒
Mateus FernandesM 60%6 of 10 Pro 🔒
Adam ArmstrongF 60%6 of 10 Pro 🔒
Tottenham
Son Heung-minM 90%9 of 10 Pro 🔒
Dominic SolankeF 90%9 of 10 Pro 🔒
Pedro PorroD 90%9 of 10 Pro 🔒
Brennan JohnsonF 80%8 of 10 Pro 🔒
James MaddisonM 80%8 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Tottenham
Brennan JohnsonF 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Tottenham
Dominic SolankeF 60%6 of 10 Pro 🔒

Southampton
No Southampton player in this window.
Tottenham
Brennan JohnsonF 60%6 of 10 Pro 🔒
Son Heung-minM 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
Dejan KulusevskiM 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesM 100%10 of 10 Pro 🔒
Tyler DiblingM 80%8 of 10 Pro 🔒
Flynn DownesM 80%8 of 10 Pro 🔒
Jan BednarekD 70%7 of 10 Pro 🔒
Kyle Walker-PetersD 70%7 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒
Tottenham
Dominic SolankeF 80%8 of 10 Pro 🔒
Pape Matar SarrM 70%7 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒
Destiny UdogieD 60%6 of 10 Pro 🔒

Southampton
Flynn DownesM 70%7 of 10 Pro 🔒
Tottenham
Dominic SolankeF 60%6 of 10 Pro 🔒

Southampton
Kyle Walker-PetersD 100%10 of 10 Pro 🔒
Ryan ManningD 90%9 of 10 Pro 🔒
Mateus FernandesM 80%8 of 10 Pro 🔒
Tyler DiblingM 80%8 of 10 Pro 🔒
Flynn DownesM 80%8 of 10 Pro 🔒
Joe AriboM 70%7 of 10 Pro 🔒
Nathan WoodD 60%6 of 10 Pro 🔒
Tottenham
Dominic SolankeF 90%9 of 10 Pro 🔒
Dejan KulusevskiM 90%9 of 10 Pro 🔒
Destiny UdogieD 90%9 of 10 Pro 🔒
Pape Matar SarrM 80%8 of 10 Pro 🔒
Son Heung-minM 70%7 of 10 Pro 🔒
James MaddisonM 70%7 of 10 Pro 🔒
Pedro PorroD 70%7 of 10 Pro 🔒
Radu DrăguşinD 60%6 of 10 Pro 🔒

Southampton
Tyler DiblingM 60%6 of 10 Pro 🔒
Kyle Walker-PetersD 60%6 of 10 Pro 🔒
Tottenham
James MaddisonM 60%6 of 10 Pro 🔒
Destiny UdogieD 60%6 of 10 Pro 🔒

Southampton
Flynn DownesM 100%10 of 10 Pro 🔒
Mateus FernandesM 90%9 of 10 Pro 🔒
Tyler DiblingM 90%9 of 10 Pro 🔒
Joe AriboM 80%8 of 10 Pro 🔒
Nathan WoodD 80%8 of 10 Pro 🔒
Kyle Walker-PetersD 70%7 of 10 Pro 🔒
Yukinari SugawaraD 70%7 of 10 Pro 🔒
Tottenham
Destiny UdogieD 100%10 of 10 Pro 🔒
Brennan JohnsonF 90%9 of 10 Pro 🔒
Pedro PorroD 80%8 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒
Pape Matar SarrM 60%6 of 10 Pro 🔒
Djed SpenceD 60%6 of 10 Pro 🔒
Radu DrăguşinD 60%6 of 10 Pro 🔒

Southampton
Mateus FernandesM 90%9 of 10 Pro 🔒
Flynn DownesM 60%6 of 10 Pro 🔒
Tottenham
Destiny UdogieD 70%7 of 10 Pro 🔒

Southampton
Mateus FernandesM 60%6 of 10 Pro 🔒
Tottenham
No Tottenham player in this window.

Southampton
No Southampton player in this window.
Tottenham
Brennan JohnsonF 50%5 of 10 Stats only
Dominic SolankeF 40%4 of 10 Stats only
James MaddisonM 30%3 of 10 Stats only
Dejan KulusevskiM 30%3 of 10 Stats only

Southampton
No Southampton player in this window.
Tottenham
Son Heung-minM 30%3 of 10 Stats only
Timo WernerF 30%3 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
Darren England refereed this match 4.30cards a gameleague 4.08 76games
Darren England'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.