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Player stats 23/24

Wolves v Luton

Your slip follows you between games.

How often each Wolves and Luton 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 Wolves v Luton: Matheus Cunha (Wolves) leads the home side for 1+ shots on target — 7 of 10 (70%); Elijah Adebayo (Luton) tops the visitors on 8 of 10 (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.

Wolves
Matheus CunhaF 90%9 of 10 Pro 🔒
Pablo SarabiaM 80%8 of 10 Pro 🔒
Mario LeminaM 80%8 of 10 Pro 🔒
Hwang Hee-chanF 80%8 of 10 Pro 🔒
Rayan Aït-NouriM 70%7 of 10 Pro 🔒
João GomesM 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 90%9 of 10 Pro 🔒
Ross BarkleyM 90%9 of 10 Pro 🔒
Tahith ChongF 70%7 of 10 Pro 🔒
Jordan ClarkF 60%6 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒

Wolves
Matheus CunhaF 80%8 of 10 Pro 🔒
Luton
Ross BarkleyM 60%6 of 10 Pro 🔒

Wolves
Matheus CunhaF 70%7 of 10 Pro 🔒
Luton
No Luton player in this window.

Wolves
Matheus CunhaF 70%7 of 10 Pro 🔒
Pablo SarabiaM 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 80%8 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒

Wolves
João GomesM 100%10 of 10 Pro 🔒
Nélson SemedoD 80%8 of 10 Pro 🔒
Mario LeminaM 80%8 of 10 Pro 🔒
Hwang Hee-chanF 70%7 of 10 Pro 🔒
Rayan Aït-NouriM 70%7 of 10 Pro 🔒
Pablo SarabiaM 60%6 of 10 Pro 🔒
Toti GomesD 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 100%10 of 10 Pro 🔒
Elijah AdebayoF 80%8 of 10 Pro 🔒
Gabriel OshoD 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Fred OnyedinmaM 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Reece BurkeD 60%6 of 10 Pro 🔒

Wolves
Hwang Hee-chanF 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Wolves
Rayan Aït-NouriM 80%8 of 10 Pro 🔒
Nélson SemedoD 60%6 of 10 Pro 🔒
Mario LeminaM 60%6 of 10 Pro 🔒
Hwang Hee-chanF 60%6 of 10 Pro 🔒
Matheus CunhaF 60%6 of 10 Pro 🔒
Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Tahith ChongF 90%9 of 10 Pro 🔒
Jordan ClarkF 80%8 of 10 Pro 🔒
Fred OnyedinmaM 70%7 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Gabriel OshoD 60%6 of 10 Pro 🔒

Wolves
Rayan Aït-NouriM 60%6 of 10 Pro 🔒
Luton
Tahith ChongF 80%8 of 10 Pro 🔒

Wolves
No Wolves player in this window.
Luton
Tahith ChongF 60%6 of 10 Pro 🔒

Wolves
João GomesM 90%9 of 10 Pro 🔒
Rayan Aït-NouriM 90%9 of 10 Pro 🔒
Nélson SemedoD 80%8 of 10 Pro 🔒
Mario LeminaM 70%7 of 10 Pro 🔒
Max KilmanD 70%7 of 10 Pro 🔒
Toti GomesD 60%6 of 10 Pro 🔒
Luton
Gabriel OshoD 100%10 of 10 Pro 🔒
Jordan ClarkF 80%8 of 10 Pro 🔒
Tahith ChongF 80%8 of 10 Pro 🔒
Alfie DoughtyM 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Daiki HashiokaM 75%6 of 8 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒

Wolves
João GomesM 90%9 of 10 Pro 🔒
Mario LeminaM 70%7 of 10 Pro 🔒
Rayan Aït-NouriM 60%6 of 10 Pro 🔒
Luton
Gabriel OshoD 80%8 of 10 Pro 🔒

Wolves
João GomesM 80%8 of 10 Pro 🔒
Luton
No Luton player in this window.

Wolves
Matheus CunhaF 30%3 of 10 Stats only
Luton
Elijah AdebayoF 50%5 of 10 Stats only
Tahith ChongF 30%3 of 10 Stats only

Wolves
Matheus CunhaF 30%3 of 10 Stats only
Luton
No Luton player in this window.

Wolves
José SáG 80%8 of 10 Stats only
Luton
Thomas KaminskiG 70%7 of 10 Stats only

Wolves
José SáG 70%7 of 10 Stats only
Luton
Thomas KaminskiG 60%6 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+13% cards vs the league average
David Coote refereed this match 4.60cards a gameleague 4.08 43games
David Coote'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.