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Player stats 23/24

Aston Villa v Luton

Your slip follows you between games.

How often each Aston Villa 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 Aston Villa v Luton: Ollie Watkins (Aston Villa) leads the home side for 1+ shots on target — 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.

Aston Villa
Ollie WatkinsF 100%10 of 10 Pro 🔒
Moussa DiabyF 90%9 of 10 Pro 🔒
Nicolò ZanioloM 90%9 of 10 Pro 🔒
Douglas LuizM 80%8 of 10 Pro 🔒
John McGinnM 60%6 of 10 Pro 🔒
Leon BaileyM 60%6 of 10 Pro 🔒
Matty CashD 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 100%10 of 10 Pro 🔒
Jacob BrownF 90%9 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Tahith ChongM 60%6 of 10 Pro 🔒
Chiedozie OgbeneF 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒

Aston Villa
Ollie WatkinsF 90%9 of 10 Pro 🔒
Moussa DiabyF 80%8 of 10 Pro 🔒
Nicolò ZanioloM 60%6 of 10 Pro 🔒
Douglas LuizM 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 90%9 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒

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

Aston Villa
Ollie WatkinsF 80%8 of 10 Pro 🔒
Douglas LuizM 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Aston Villa
Boubacar KamaraM 100%10 of 10 Pro 🔒
John McGinnM 90%9 of 10 Pro 🔒
Douglas LuizM 80%8 of 10 Pro 🔒
Nicolò ZanioloM 70%7 of 10 Pro 🔒
Lucas DigneD 70%7 of 10 Pro 🔒
Ezri KonsaD 60%6 of 10 Pro 🔒
Matty CashD 60%6 of 10 Pro 🔒
Luton
Marvelous NakambaM 100%10 of 10 Pro 🔒
Alfie DoughtyM 90%9 of 10 Pro 🔒
Issa KaboréM 80%8 of 10 Pro 🔒
Jacob BrownF 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Tom LockyerD 60%6 of 10 Pro 🔒

Aston Villa
No Aston Villa player in this window.
Luton
Marvelous NakambaM 80%8 of 10 Pro 🔒

Aston Villa
John McGinnM 90%9 of 10 Pro 🔒
Ollie WatkinsF 90%9 of 10 Pro 🔒
Lucas DigneD 90%9 of 10 Pro 🔒
Boubacar KamaraM 80%8 of 10 Pro 🔒
Douglas LuizM 80%8 of 10 Pro 🔒
Nicolò ZanioloM 70%7 of 10 Pro 🔒
Ezri KonsaD 60%6 of 10 Pro 🔒
Luton
Tahith ChongM 90%9 of 10 Pro 🔒
Chiedozie OgbeneF 90%9 of 10 Pro 🔒
Tom LockyerD 70%7 of 10 Pro 🔒
Jacob BrownF 70%7 of 10 Pro 🔒
Marvelous NakambaM 60%6 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒

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

Aston Villa
Boubacar KamaraM 90%9 of 10 Pro 🔒
Douglas LuizM 90%9 of 10 Pro 🔒
Ezri KonsaD 70%7 of 10 Pro 🔒
Matty CashD 70%7 of 10 Pro 🔒
Lucas DigneD 70%7 of 10 Pro 🔒
John McGinnM 60%6 of 10 Pro 🔒
Luton
Marvelous NakambaM 100%10 of 10 Pro 🔒
Gabriel OshoD 100%10 of 10 Pro 🔒
Issa KaboréM 70%7 of 10 Pro 🔒
Tom LockyerD 70%7 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Ryan GilesM 70%7 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒

Aston Villa
Boubacar KamaraM 80%8 of 10 Pro 🔒
Matty CashD 70%7 of 10 Pro 🔒
Douglas LuizM 70%7 of 10 Pro 🔒
Lucas DigneD 60%6 of 10 Pro 🔒
Luton
Marvelous NakambaM 90%9 of 10 Pro 🔒
Tom LockyerD 60%6 of 10 Pro 🔒

Aston Villa
Boubacar KamaraM 60%6 of 10 Pro 🔒
Luton
Marvelous NakambaM 80%8 of 10 Pro 🔒

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

Aston Villa
Ollie WatkinsF 50%5 of 10 Stats only
Moussa DiabyF 30%3 of 10 Stats only
Luton
No Luton 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+12% cards vs the league average
John Brooks refereed this match 4.59cards a gameleague 4.08 74games
John Brooks'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.