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Player stats 23/24

Luton v Bournemouth

Your slip follows you between games.

How often each Luton and Bournemouth 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 Bournemouth: Carlton Morris (Luton) leads the home side for 1+ shots on target — 6 of 10 (60%); Dominic Solanke (Bournemouth) tops the visitors on 7 of 10 (70%). 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 🔒
Tahith ChongF 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Andros TownsendF 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒
Bournemouth
Dominic SolankeF 90%9 of 10 Pro 🔒
Justin KluivertM 90%9 of 10 Pro 🔒
Antoine SemenyoM 90%9 of 10 Pro 🔒
Ryan ChristieM 80%8 of 10 Pro 🔒
Marcus TavernierM 70%7 of 10 Pro 🔒
Lewis CookM 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 80%8 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Bournemouth
Justin KluivertM 80%8 of 10 Pro 🔒
Marcus TavernierM 60%6 of 10 Pro 🔒

Luton
Carlton MorrisF 60%6 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒
Bournemouth
Dominic SolankeF 70%7 of 10 Pro 🔒
Antoine SemenyoM 70%7 of 10 Pro 🔒
Justin KluivertM 60%6 of 10 Pro 🔒

Luton
Carlton MorrisF 90%9 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Issa KaboréD 70%7 of 10 Pro 🔒
Reece BurkeD 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒
Bournemouth
Marcus TavernierM 90%9 of 10 Pro 🔒
Ryan ChristieM 80%8 of 10 Pro 🔒
Lewis CookM 80%8 of 10 Pro 🔒
Justin KluivertM 80%8 of 10 Pro 🔒
Adam SmithD 70%7 of 10 Pro 🔒
Antoine SemenyoM 70%7 of 10 Pro 🔒
Ilya ZabarnyiD 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
Marcos SenesiD 60%6 of 10 Pro 🔒
Lloyd KellyD 60%6 of 10 Pro 🔒

Luton
Ross BarkleyM 90%9 of 10 Pro 🔒
Jordan ClarkM 80%8 of 10 Pro 🔒
Fred OnyedinmaM 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Tahith ChongF 70%7 of 10 Pro 🔒
Issa KaboréD 60%6 of 10 Pro 🔒
Daiki HashiokaM 60%3 of 5 Pro 🔒
Bournemouth
Ryan ChristieM 80%8 of 10 Pro 🔒
Dominic SolankeF 80%8 of 10 Pro 🔒
Adam SmithD 70%7 of 10 Pro 🔒
Ilya ZabarnyiD 60%6 of 10 Pro 🔒
Alex ScottM 60%6 of 10 Pro 🔒
Enes ÜnalF 60%6 of 10 Pro 🔒
Lewis CookM 60%6 of 10 Pro 🔒
Lloyd KellyD 60%6 of 10 Pro 🔒

Luton
Issa KaboréD 60%6 of 10 Pro 🔒
Bournemouth
No Bournemouth player in this window.

Luton
Issa KaboréD 100%10 of 10 Pro 🔒
Jordan ClarkM 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Daiki HashiokaM 80%4 of 5 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Tahith ChongF 60%6 of 10 Pro 🔒
Bournemouth
Ryan ChristieM 100%10 of 10 Pro 🔒
Lewis CookM 100%10 of 10 Pro 🔒
Ilya ZabarnyiD 90%9 of 10 Pro 🔒
Alex ScottM 80%8 of 10 Pro 🔒
Dango OuattaraF 70%7 of 10 Pro 🔒
Adam SmithD 70%7 of 10 Pro 🔒
Marcos SenesiD 70%7 of 10 Pro 🔒
Marcus TavernierM 70%7 of 10 Pro 🔒
Miloš KerkezD 60%6 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
Justin KluivertM 60%6 of 10 Pro 🔒
Antoine SemenyoM 60%6 of 10 Pro 🔒

Luton
Issa KaboréD 70%7 of 10 Pro 🔒
Bournemouth
Ryan ChristieM 70%7 of 10 Pro 🔒
Lewis CookM 70%7 of 10 Pro 🔒

Luton
Carlton MorrisF 40%4 of 10 Stats only
Tahith ChongF 30%3 of 10 Stats only
Bournemouth
Dominic SolankeF 40%4 of 10 Stats only
Justin KluivertM 30%3 of 10 Stats only
Antoine SemenyoM 30%3 of 10 Stats only

Luton
Thomas KaminskiG 60%6 of 10 Stats only
Bournemouth
NetoG 60%6 of 10 Stats only

Luton
No Luton player in this window.
Bournemouth
NetoG 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
Andy Madley refereed this match 3.71cards a gameleague 4.08 92games
Andy Madley'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.