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Player stats 26/27

Southampton v Swansea City

Your slip follows you between games.

How often each Southampton and Swansea 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 Swansea City: Cyle Larin (Southampton) leads the home side for 1+ shots on target — 8 of 10 (80%); Joseph Opoku (Swansea City) tops the visitors on 4 of 5 (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
Cyle LarinF 100%10 of 10 Pro 🔒
Finn AzazM 90%9 of 10 Pro 🔒
Leo ScienzaM 80%8 of 10 Pro 🔒
Divin MubamaF 70%7 of 10 Pro 🔒
Kuryu MatsukiM 60%6 of 10 Pro 🔒
James Ward-ProwseM 60%6 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒
Swansea City
Joseph OpokuF 100%5 of 5 Pro 🔒
Žan VipotnikF 90%9 of 10 Pro 🔒
Elijah JustM 80%4 of 5 Pro 🔒
RonaldF 70%7 of 10 Pro 🔒
Adam IdahF 70%7 of 10 Pro 🔒
Ji-sung EomF 60%6 of 10 Pro 🔒
Melker WidellM 60%6 of 10 Pro 🔒

Southampton
Cyle LarinF 80%8 of 10 Pro 🔒
Finn AzazM 70%7 of 10 Pro 🔒
Leo ScienzaM 70%7 of 10 Pro 🔒
Swansea City
Joseph OpokuF 60%3 of 5 Pro 🔒

Southampton
Cyle LarinF 80%8 of 10 Pro 🔒
Swansea City
Joseph OpokuF 80%4 of 5 Pro 🔒
Žan VipotnikF 70%7 of 10 Pro 🔒

Southampton
Cyle LarinF 80%8 of 10 Pro 🔒
Kuryu MatsukiM 70%7 of 10 Pro 🔒
Flynn DownesM 70%7 of 10 Pro 🔒
Tom FellowsM 60%6 of 10 Pro 🔒
James BreeD 60%6 of 10 Pro 🔒
Keven SchlotterbeckD 60%6 of 10 Pro 🔒
Swansea City
Marko StamenićM 90%9 of 10 Pro 🔒
RonaldF 60%6 of 10 Pro 🔒
Joseph OpokuF 60%3 of 5 Pro 🔒

Southampton
Leo ScienzaM 100%10 of 10 Pro 🔒
Ryan ManningD 80%8 of 10 Pro 🔒
Divin MubamaF 70%7 of 10 Pro 🔒
Samuel EdozieM 60%6 of 10 Pro 🔒
Kuryu MatsukiM 60%6 of 10 Pro 🔒
Flynn DownesM 60%6 of 10 Pro 🔒
Swansea City
Ji-sung EomF 80%8 of 10 Pro 🔒
Filip LissahD 80%4 of 5 Pro 🔒
Stephen WelshD 80%4 of 5 Pro 🔒
Elijah JustM 80%4 of 5 Pro 🔒
Melker WidellM 70%7 of 10 Pro 🔒
RonaldF 70%7 of 10 Pro 🔒
Stephen EustaquioM 67%2 of 3 Pro 🔒
Marko StamenićM 60%6 of 10 Pro 🔒
Joseph OpokuF 60%3 of 5 Pro 🔒

Southampton
Leo ScienzaM 80%8 of 10 Pro 🔒
Swansea City
RonaldF 60%6 of 10 Pro 🔒

Southampton
Leo ScienzaM 60%6 of 10 Pro 🔒
Swansea City
No Swansea City player in this window.

Southampton
Flynn DownesM 80%8 of 10 Pro 🔒
Finn AzazM 70%7 of 10 Pro 🔒
Cameron BraggM 70%7 of 10 Pro 🔒
Kuryu MatsukiM 60%6 of 10 Pro 🔒
Keven SchlotterbeckD 60%6 of 10 Pro 🔒
Swansea City
Moussa Kounfolo YeoF 100%5 of 5 Pro 🔒
Stephen EustaquioM 100%3 of 3 Pro 🔒
Melker WidellM 80%8 of 10 Pro 🔒
RonaldF 80%8 of 10 Pro 🔒
Jay FultonM 80%8 of 10 Pro 🔒
Filip LissahD 80%4 of 5 Pro 🔒
Joseph OpokuF 80%4 of 5 Pro 🔒
Ji-sung EomF 70%7 of 10 Pro 🔒
Marko StamenićM 70%7 of 10 Pro 🔒
Ben CabangoD 70%7 of 10 Pro 🔒
Josh TymonD 60%6 of 10 Pro 🔒
Stephen WelshD 60%3 of 5 Pro 🔒

Southampton
No Southampton player in this window.
Swansea City
Joseph OpokuF 60%3 of 5 Pro 🔒

Southampton
Cyle LarinF 60%6 of 10 Stats only
Swansea City
Joseph OpokuF 40%2 of 5 Stats only
Žan VipotnikF 30%3 of 10 Stats only
Adam IdahF 30%3 of 10 Stats only

Southampton
Ryan ManningD 30%3 of 10 Stats only
Swansea City
Stephen EustaquioM 33%1 of 3 Stats only
Ji-sung EomF 30%3 of 10 Stats only

Southampton
Daniel PeretzG 70%7 of 10 Stats only
Swansea City
Lawrence VigourouxG 60%6 of 10 Stats only

Southampton
Daniel PeretzG 60%6 of 10 Stats only
Swansea City
No Swansea City 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
Lewis Smith refereed this match 3.65cards a gameleague 4.01 54games
Lewis Smith'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.