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Player stats 23/24

Luton v Aston Villa

Your slip follows you between games.

How often each Luton and Aston Villa 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 Luton v Aston Villa: Carlton Morris (Luton) leads the home side for 1+ shots on target — 6 of 10 (60%); Ollie Watkins (Aston Villa) tops the visitors on 9 of 10 (90%). 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.

Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Andros TownsendF 70%7 of 10 Pro 🔒
Tahith ChongF 70%7 of 10 Pro 🔒
Chiedozie OgbeneF 70%7 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒
Aston Villa
Ollie WatkinsF 90%9 of 10 Pro 🔒
Leon BaileyM 90%9 of 10 Pro 🔒
Douglas LuizM 80%8 of 10 Pro 🔒
Morgan RogersF 80%8 of 10 Pro 🔒
John McGinnM 70%7 of 10 Pro 🔒
Matty CashD 70%7 of 10 Pro 🔒
Moussa DiabyF 70%7 of 10 Pro 🔒
Lucas DigneD 60%6 of 10 Pro 🔒
Jacob RamseyM 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 80%8 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Aston Villa
Ollie WatkinsF 90%9 of 10 Pro 🔒
John McGinnM 60%6 of 10 Pro 🔒
Leon BaileyM 60%6 of 10 Pro 🔒

Luton
No Luton player in this window.
Aston Villa
Ollie WatkinsF 70%7 of 10 Pro 🔒

Luton
Carlton MorrisF 60%6 of 10 Pro 🔒
Aston Villa
Ollie WatkinsF 90%9 of 10 Pro 🔒
John McGinnM 70%7 of 10 Pro 🔒

Luton
Carlton MorrisF 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Issa KaboréM 60%6 of 10 Pro 🔒
Amari'i BellD 60%6 of 10 Pro 🔒
Reece BurkeD 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒
Aston Villa
Tim IroegbunamM 70%7 of 10 Pro 🔒
Álex MorenoD 70%7 of 10 Pro 🔒
Youri TielemansM 70%7 of 10 Pro 🔒
Ollie WatkinsF 70%7 of 10 Pro 🔒
Douglas LuizM 60%6 of 10 Pro 🔒

Luton
Chiedozie OgbeneF 80%8 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Amari'i BellD 60%6 of 10 Pro 🔒
Aston Villa
John McGinnM 90%9 of 10 Pro 🔒
Ezri KonsaD 90%9 of 10 Pro 🔒
Álex MorenoD 80%8 of 10 Pro 🔒
Tim IroegbunamM 70%7 of 10 Pro 🔒
Clément LengletD 70%7 of 10 Pro 🔒
Lucas DigneD 70%7 of 10 Pro 🔒
Jacob RamseyM 70%7 of 10 Pro 🔒
Youri TielemansM 60%6 of 10 Pro 🔒
Ollie WatkinsF 60%6 of 10 Pro 🔒
Leon BaileyM 60%6 of 10 Pro 🔒

Luton
No Luton player in this window.
Aston Villa
John McGinnM 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Issa KaboréM 90%9 of 10 Pro 🔒
Alfie DoughtyM 90%9 of 10 Pro 🔒
Amari'i BellD 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Reece BurkeD 70%7 of 10 Pro 🔒
Teden MengiD 70%7 of 10 Pro 🔒
Aston Villa
Tim IroegbunamM 80%8 of 10 Pro 🔒
John McGinnM 80%8 of 10 Pro 🔒
Jacob RamseyM 80%8 of 10 Pro 🔒
Álex MorenoD 70%7 of 10 Pro 🔒
Youri TielemansM 70%7 of 10 Pro 🔒
Matty CashD 70%7 of 10 Pro 🔒
Douglas LuizM 70%7 of 10 Pro 🔒
Clément LengletD 60%6 of 10 Pro 🔒
Ezri KonsaD 60%6 of 10 Pro 🔒
Morgan RogersF 60%6 of 10 Pro 🔒
Lucas DigneD 60%6 of 10 Pro 🔒

Luton
Amari'i BellD 70%7 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Aston Villa
John McGinnM 60%6 of 10 Pro 🔒
Youri TielemansM 60%6 of 10 Pro 🔒
Douglas LuizM 60%6 of 10 Pro 🔒

Luton
Carlton MorrisF 40%4 of 10 Stats only
Aston Villa
Ollie WatkinsF 50%5 of 10 Stats only
Leon BaileyM 30%3 of 10 Stats only
Douglas LuizM 30%3 of 10 Stats only

Luton
Ross BarkleyM 30%3 of 10 Stats only
Aston Villa
Morgan RogersF 40%4 of 10 Stats only
Youri TielemansM 30%3 of 10 Stats only
Leon BaileyM 30%3 of 10 Stats only

Luton
No Luton player in this window.
Aston Villa
Emiliano MartínezG 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-10% cards vs the league average
Michael Oliver refereed this match 3.67cards a gameleague 4.08 114games
Michael Oliver'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.