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Player stats 26/27

Sheffield United v Wolves

Your slip follows you between games.

How often each Sheffield United and Wolves 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 Sheffield United v Wolves: Patrick Bamford (Sheffield United) leads the home side for 1+ shots on target — 8 of 10 (80%); Mateus Mané (Wolves) 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 — 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.

Sheffield United
Patrick BamfordF 90%9 of 10 Pro 🔒
Thomas CannonF 70%7 of 10 Pro 🔒
Sydie PeckM 70%7 of 10 Pro 🔒
Liam KitchingD 60%6 of 10 Pro 🔒
Sam McCallumM 60%6 of 10 Pro 🔒
Wolves
Mateus ManéM 90%9 of 10 Pro 🔒
Raúl JiménezF 90%9 of 10 Pro 🔒
Rodrigo GomesM 80%8 of 10 Pro 🔒
Fer LópezM 80%8 of 10 Pro 🔒
Adam ArmstrongF 70%7 of 10 Pro 🔒
Marshall MunetsiM 70%7 of 10 Pro 🔒

Sheffield United
No Sheffield United player in this window.
Wolves
Mateus ManéM 80%8 of 10 Pro 🔒
Fer LópezM 60%6 of 10 Pro 🔒
Raúl JiménezF 60%6 of 10 Pro 🔒

Sheffield United
Patrick BamfordF 80%8 of 10 Pro 🔒
Wolves
Mateus ManéM 60%6 of 10 Pro 🔒

Sheffield United
Sydie PeckM 80%8 of 10 Pro 🔒
Kalvin PhillipsM 80%8 of 10 Pro 🔒
Liam KitchingD 70%7 of 10 Pro 🔒
Matt DohertyD 60%6 of 10 Pro 🔒
Hamza ChoudhuryM 60%6 of 10 Pro 🔒
Japhet TangangaD 60%6 of 10 Pro 🔒
Ben Brereton DíazF 60%6 of 10 Pro 🔒
Wolves
AndréM 90%9 of 10 Pro 🔒
Marshall MunetsiM 80%8 of 10 Pro 🔒
Kieran TrippierD 70%7 of 10 Pro 🔒
Fer LópezM 60%6 of 10 Pro 🔒
Raúl JiménezF 60%6 of 10 Pro 🔒

Sheffield United
Sydie PeckM 90%9 of 10 Pro 🔒
Sam McCallumM 80%8 of 10 Pro 🔒
Patrick BamfordF 70%7 of 10 Pro 🔒
Japhet TangangaD 70%7 of 10 Pro 🔒
Jordan AyewFform earned at Leicester City 60%6 of 10 Pro 🔒
Kalvin PhillipsM 60%6 of 10 Pro 🔒
Wolves
Mateus ManéM 100%10 of 10 Pro 🔒
Raúl JiménezF 80%8 of 10 Pro 🔒
Kieran TrippierD 70%7 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒
Fer LópezM 60%6 of 10 Pro 🔒

Sheffield United
Sam McCallumM 80%8 of 10 Pro 🔒
Wolves
Mateus ManéM 70%7 of 10 Pro 🔒

Sheffield United
Kalvin PhillipsM 90%9 of 10 Pro 🔒
Sam McCallumM 90%9 of 10 Pro 🔒
Matt DohertyD 80%8 of 10 Pro 🔒
Hamza ChoudhuryM 80%8 of 10 Pro 🔒
Liam KitchingD 70%7 of 10 Pro 🔒
Joe RothwellM 60%6 of 10 Pro 🔒
Japhet TangangaD 60%6 of 10 Pro 🔒
Mark McGuinnessD 60%6 of 10 Pro 🔒
Wolves
Fer LópezM 90%9 of 10 Pro 🔒
AndréM 80%8 of 10 Pro 🔒
Ladislav KrejčíD 80%8 of 10 Pro 🔒
Kieran TrippierD 70%7 of 10 Pro 🔒
Marshall MunetsiM 70%7 of 10 Pro 🔒
Hugo BuenoD 60%6 of 10 Pro 🔒
Mateus ManéM 60%6 of 10 Pro 🔒

Sheffield United
Hamza ChoudhuryM 70%7 of 10 Pro 🔒
Sam McCallumM 60%6 of 10 Pro 🔒
Wolves
Fer LópezM 70%7 of 10 Pro 🔒
AndréM 60%6 of 10 Pro 🔒

Sheffield United
Thomas CannonF 40%4 of 10 Stats only
Patrick BamfordF 40%4 of 10 Stats only
Wolves
Marshall MunetsiM 30%3 of 10 Stats only

Sheffield United
No Sheffield United player in this window.
Wolves
Fer LópezM 30%3 of 10 Stats only

Sheffield United
Michael CooperG 70%7 of 10 Stats only
Wolves
No Wolves 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.

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.