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Player stats 23/24

Bournemouth v Luton

Your slip follows you between games.

How often each Bournemouth 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 Bournemouth v Luton: Dominic Solanke (Bournemouth) leads the home side for 1+ shots on target — 7 of 10 (70%); Carlton Morris (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.

Bournemouth
Dominic SolankeF 90%9 of 10 Pro 🔒
Antoine SemenyoM 90%9 of 10 Pro 🔒
Marcus TavernierM 80%8 of 10 Pro 🔒
Ryan ChristieM 70%7 of 10 Pro 🔒
Dango OuattaraD 60%6 of 10 Pro 🔒
Luis SinisterraM 60%6 of 10 Pro 🔒
Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Carlton MorrisF 80%8 of 10 Pro 🔒
Chiedozie OgbeneF 80%8 of 10 Pro 🔒
Tahith ChongF 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒
Andros TownsendM 60%6 of 10 Pro 🔒

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

Bournemouth
Dominic SolankeF 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Bournemouth
Dominic SolankeF 70%7 of 10 Pro 🔒
Antoine SemenyoM 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 80%8 of 10 Pro 🔒

Bournemouth
Ryan ChristieM 80%8 of 10 Pro 🔒
Ilya ZabarnyiD 70%7 of 10 Pro 🔒
Dominic SolankeF 70%7 of 10 Pro 🔒
Tyler AdamsMform earned at Leeds United 70%7 of 10 Pro 🔒
Marcus TavernierM 70%7 of 10 Pro 🔒
Antoine SemenyoM 70%7 of 10 Pro 🔒
Alex ScottM 60%6 of 10 Pro 🔒
Lewis CookM 60%6 of 10 Pro 🔒
Chris MephamD 60%6 of 10 Pro 🔒
Luton
Carlton MorrisF 90%9 of 10 Pro 🔒
Teden MengiD 90%9 of 10 Pro 🔒
Reece BurkeD 80%8 of 10 Pro 🔒
Issa KaboréM 70%7 of 10 Pro 🔒
Alfie DoughtyM 60%6 of 10 Pro 🔒

Bournemouth
Ryan ChristieM 80%8 of 10 Pro 🔒
Alex ScottM 70%7 of 10 Pro 🔒
Dominic SolankeF 70%7 of 10 Pro 🔒
Marcus TavernierM 70%7 of 10 Pro 🔒
Antoine SemenyoM 70%7 of 10 Pro 🔒
Lewis CookM 60%6 of 10 Pro 🔒
Luton
Chiedozie OgbeneF 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Issa KaboréM 60%6 of 10 Pro 🔒
Jordan ClarkM 60%6 of 10 Pro 🔒
Tahith ChongF 60%6 of 10 Pro 🔒

Bournemouth
No Bournemouth player in this window.
Luton
Ross BarkleyM 60%6 of 10 Pro 🔒

Bournemouth
Ilya ZabarnyiD 100%10 of 10 Pro 🔒
Lewis CookM 100%10 of 10 Pro 🔒
Tyler AdamsMform earned at Leeds United 100%10 of 10 Pro 🔒
James HillD 90%9 of 10 Pro 🔒
Ryan ChristieM 90%9 of 10 Pro 🔒
Marcus TavernierM 80%8 of 10 Pro 🔒
Alex ScottM 70%7 of 10 Pro 🔒
Dango OuattaraD 70%7 of 10 Pro 🔒
Adam SmithD 70%7 of 10 Pro 🔒
Luis SinisterraM 70%7 of 10 Pro 🔒
Chris MephamD 70%7 of 10 Pro 🔒
Dominic SolankeF 60%6 of 10 Pro 🔒
Antoine SemenyoM 60%6 of 10 Pro 🔒
Luton
Issa KaboréM 100%10 of 10 Pro 🔒
Ross BarkleyM 100%10 of 10 Pro 🔒
Alfie DoughtyM 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒
Reece BurkeD 60%6 of 10 Pro 🔒
Teden MengiD 60%6 of 10 Pro 🔒

Bournemouth
Tyler AdamsMform earned at Leeds United 80%8 of 10 Pro 🔒
Lewis CookM 70%7 of 10 Pro 🔒
James HillD 60%6 of 10 Pro 🔒
Ryan ChristieM 60%6 of 10 Pro 🔒
Marcus TavernierM 60%6 of 10 Pro 🔒
Luton
Ross BarkleyM 70%7 of 10 Pro 🔒

Bournemouth
Dominic SolankeF 30%3 of 10 Stats only
Luton
Carlton MorrisF 50%5 of 10 Stats only

Bournemouth
No Bournemouth player in this window.
Luton
Alfie DoughtyM 30%3 of 10 Stats only

Bournemouth
NetoG 90%9 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.

🔒 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
Sam Allison refereed this match

4 matches on record — too few to quote a card rate against. See the 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.