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Player stats 23/24

Luton v Tottenham

Your slip follows you between games.

How often each Luton and Tottenham 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 Tottenham: James Maddison (Tottenham) tops the visitors 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.

Luton
Carlton MorrisF 100%10 of 10 Pro 🔒
Jacob BrownM 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Tom LockyerD 60%6 of 10 Pro 🔒
Chiedozie OgbeneM 60%6 of 10 Pro 🔒
Alfie DoughtyD 60%6 of 10 Pro 🔒
Luke BerryM 60%6 of 10 Pro 🔒
Tottenham
Son Heung-minF 90%9 of 10 Pro 🔒
James MaddisonM 90%9 of 10 Pro 🔒
Yves BissoumaM 80%8 of 10 Pro 🔒
Pedro PorroD 80%8 of 10 Pro 🔒
Pape Matar SarrM 70%7 of 10 Pro 🔒
Cristian RomeroD 70%7 of 10 Pro 🔒
RicharlisonM 70%7 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒

Luton
Carlton MorrisF 90%9 of 10 Pro 🔒
Tottenham
Son Heung-minF 70%7 of 10 Pro 🔒
James MaddisonM 70%7 of 10 Pro 🔒
RicharlisonM 70%7 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒

Luton
Carlton MorrisF 80%8 of 10 Pro 🔒
Tottenham
No Tottenham player in this window.

Luton
No Luton player in this window.
Tottenham
James MaddisonM 80%8 of 10 Pro 🔒
RicharlisonM 70%7 of 10 Pro 🔒
Pape Matar SarrM 60%6 of 10 Pro 🔒
Son Heung-minF 60%6 of 10 Pro 🔒

Luton
Marvelous NakambaM 100%10 of 10 Pro 🔒
Alfie DoughtyD 90%9 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Jacob BrownM 70%7 of 10 Pro 🔒
Tottenham
Yves BissoumaM 80%8 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒
RicharlisonM 60%6 of 10 Pro 🔒
Oliver SkippM 60%6 of 10 Pro 🔒
Destiny UdogieD 60%6 of 10 Pro 🔒

Luton
Marvelous NakambaM 80%8 of 10 Pro 🔒
Tottenham
Destiny UdogieD 60%6 of 10 Pro 🔒

Luton
Tahith ChongM 90%9 of 10 Pro 🔒
Chiedozie OgbeneM 90%9 of 10 Pro 🔒
Jacob BrownM 70%7 of 10 Pro 🔒
Tom LockyerD 60%6 of 10 Pro 🔒
Tottenham
James MaddisonM 100%10 of 10 Pro 🔒
Yves BissoumaM 100%10 of 10 Pro 🔒
Destiny UdogieD 80%8 of 10 Pro 🔒
Dejan KulusevskiM 70%7 of 10 Pro 🔒
Son Heung-minF 60%6 of 10 Pro 🔒
Emerson RoyalD 60%6 of 10 Pro 🔒
Oliver SkippM 60%6 of 10 Pro 🔒
Micky van de VenD 60%6 of 10 Pro 🔒

Luton
Tahith ChongM 60%6 of 10 Pro 🔒
Tottenham
James MaddisonM 80%8 of 10 Pro 🔒
Destiny UdogieD 60%6 of 10 Pro 🔒

Luton
Marvelous NakambaM 100%10 of 10 Pro 🔒
Reece BurkeD 80%8 of 10 Pro 🔒
Tahith ChongM 70%7 of 10 Pro 🔒
Tom LockyerD 60%6 of 10 Pro 🔒
Alfie DoughtyD 60%6 of 10 Pro 🔒
Tottenham
Cristian RomeroD 90%9 of 10 Pro 🔒
Yves BissoumaM 90%9 of 10 Pro 🔒
Pedro PorroD 90%9 of 10 Pro 🔒
Destiny UdogieD 90%9 of 10 Pro 🔒
Micky van de VenD 80%8 of 10 Pro 🔒
James MaddisonM 70%7 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒
Ben DaviesD 70%7 of 10 Pro 🔒
Pape Matar SarrM 60%6 of 10 Pro 🔒
Dejan KulusevskiM 60%6 of 10 Pro 🔒

Luton
Marvelous NakambaM 100%10 of 10 Pro 🔒
Tottenham
Cristian RomeroD 80%8 of 10 Pro 🔒
Yves BissoumaM 70%7 of 10 Pro 🔒
Pedro PorroD 70%7 of 10 Pro 🔒
James MaddisonM 60%6 of 10 Pro 🔒
Destiny UdogieD 60%6 of 10 Pro 🔒

Luton
Marvelous NakambaM 90%9 of 10 Pro 🔒
Tottenham
Yves BissoumaM 70%7 of 10 Pro 🔒

Luton
Tom LockyerD 30%3 of 10 Stats only
Carlton MorrisF 30%3 of 10 Stats only
Tottenham
Son Heung-minF 30%3 of 10 Stats only

Luton
No Luton player in this window.
Tottenham
Pedro PorroD 30%3 of 10 Stats only

Luton
No Luton player in this window.
Tottenham
Guglielmo VicarioG 100%10 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+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.