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Player stats · 26/27

West Brom v Southampton

Your slip follows you between games.

How often each West Brom and Southampton 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 West Brom v Southampton on Tue 3 Nov: Isaac Price (West Brom) leads the home side for 1+ shots on target — 6 of 10 (60%); Ross Stewart (Southampton) tops the visitors on 7 of 10 (70%). Raw hit rates from recent matches, not odds.

Not kicked off — players are a likely XI

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match.

Window
Last
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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

1+ shots

West Brom
Isaac PriceM 100%10 of 10 Pro 🔒
Daryl DikeF 90%9 of 10 Pro 🔒
Josh MajaF 70%7 of 10 Pro 🔒
Callum StylesD 70%7 of 10 Pro 🔒
Karlan GrantF 70%7 of 10 Pro 🔒
Jed WallaceM 70%7 of 10 Pro 🔒
Alex MowattM 60%6 of 10 Pro 🔒
Daniel ImrayD 60%6 of 10 Pro 🔒
Southampton
Leo ScienzaF 90%9 of 10 Pro 🔒
Cyle LarinF 90%9 of 10 Pro 🔒
Finn AzazM 90%9 of 10 Pro 🔒
Shea CharlesM 80%8 of 10 Pro 🔒
Ross StewartF 70%7 of 10 Pro 🔒
Ryan ManningD 60%6 of 10 Pro 🔒

2+ shots

West Brom
Isaac PriceM 60%6 of 10 Pro 🔒
Daryl DikeF 60%6 of 10 Pro 🔒
Southampton
Finn AzazM 70%7 of 10 Pro 🔒
Shea CharlesM 60%6 of 10 Pro 🔒

3+ shots

West Brom
No West Brom player in this window.
Southampton
Finn AzazM 70%7 of 10 Pro 🔒

1+ shots on target

West Brom
Southampton
Ross StewartF 70%7 of 10 Pro 🔒
Cyle LarinF 70%7 of 10 Pro 🔒
Shea CharlesM 60%6 of 10 Pro 🔒

1+ fouls committed

West Brom
Southampton
Caspar JanderM 90%9 of 10 Pro 🔒
Flynn DownesM 80%8 of 10 Pro 🔒
Cyle LarinF 70%7 of 10 Pro 🔒
Kuryu MatsukiM 60%6 of 10 Pro 🔒
Cameron BraggM 60%6 of 10 Pro 🔒
WelingtonD 60%6 of 10 Pro 🔒
Finn AzazM 60%6 of 10 Pro 🔒

1+ fouls won

West Brom
Southampton
Leo ScienzaF 90%9 of 10 Pro 🔒
Ryan ManningD 80%8 of 10 Pro 🔒
Finn AzazM 70%7 of 10 Pro 🔒
Kuryu MatsukiM 60%6 of 10 Pro 🔒
Samuel EdozieM 60%6 of 10 Pro 🔒
Caspar JanderM 60%6 of 10 Pro 🔒

1+ goals

West Brom
Josh MajaF 30%3 of 10 Stats only
Isaac PriceM 30%3 of 10 Stats only
Southampton
Cyle LarinF 60%6 of 10 Stats only
Ross StewartF 40%4 of 10 Stats only
Shea CharlesM 30%3 of 10 Stats only

1+ assists

West Brom
No West Brom player in this window.
Southampton
Ryan ManningD 30%3 of 10 Stats only
Cameron ArcherM 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel →

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.