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Luton v Sunderland

Your slip follows you between games.

How often each Luton and Sunderland 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 Sunderland: Jordan Clark (Luton) leads the home side for 1+ shots on target — 6 of 10 (60%); Romaine Mundle (Sunderland) 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.

Luton
Jordan ClarkM 80%8 of 10 Pro 🔒
Carlton MorrisF 80%8 of 10 Pro 🔒
Jacob BrownF 80%8 of 10 Pro 🔒
Elijah AdebayoF 80%8 of 10 Pro 🔒
Joe TaylorF 60%6 of 10 Pro 🔒
Tahith ChongF 60%6 of 10 Pro 🔒
Mark McGuinnessD 60%6 of 10 Pro 🔒
Victor MosesM 60%3 of 5 Pro 🔒
Sunderland
Dennis CirkinD 80%8 of 10 Pro 🔒
Romaine MundleF 80%8 of 10 Pro 🔒
Chris RiggF 80%8 of 10 Pro 🔒
Patrick RobertsM 80%8 of 10 Pro 🔒
Wilson IsidorF 71%5 of 7 Pro 🔒
Jobe BellinghamM 70%7 of 10 Pro 🔒
Dan NeilM 70%7 of 10 Pro 🔒

Luton
No Luton player in this window.
Sunderland
Wilson IsidorF 71%5 of 7 Pro 🔒
Dennis CirkinD 60%6 of 10 Pro 🔒
Patrick RobertsM 60%6 of 10 Pro 🔒

Luton
Jordan ClarkM 60%6 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Elijah AdebayoF 60%6 of 10 Pro 🔒
Sunderland
Romaine MundleF 80%8 of 10 Pro 🔒

Luton
Jordan ClarkM 90%9 of 10 Pro 🔒
Elijah AdebayoF 90%9 of 10 Pro 🔒
Alfie DoughtyM 90%9 of 10 Pro 🔒
Tahith ChongF 70%7 of 10 Pro 🔒
Daiki HashiokaD 70%7 of 10 Pro 🔒
Carlton MorrisF 60%6 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒
Victor MosesM 60%3 of 5 Pro 🔒
Sunderland
Jobe BellinghamM 100%10 of 10 Pro 🔒
Romaine MundleF 90%9 of 10 Pro 🔒
Chris RiggF 80%8 of 10 Pro 🔒
Chris MephamD 80%8 of 10 Pro 🔒
Dennis CirkinD 70%7 of 10 Pro 🔒
Dan NeilM 60%6 of 10 Pro 🔒
Trai HumeD 60%6 of 10 Pro 🔒

Luton
Elijah AdebayoF 70%7 of 10 Pro 🔒
Sunderland
No Sunderland player in this window.

Luton
Elijah AdebayoF 60%6 of 10 Pro 🔒
Sunderland
No Sunderland player in this window.

Luton
Carlton MorrisF 90%9 of 10 Pro 🔒
Tahith ChongF 80%8 of 10 Pro 🔒
Elijah AdebayoF 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒
Daiki HashiokaD 60%6 of 10 Pro 🔒
Victor MosesM 60%3 of 5 Pro 🔒
Sunderland
Jobe BellinghamM 90%9 of 10 Pro 🔒
Dennis CirkinD 80%8 of 10 Pro 🔒
Chris RiggF 80%8 of 10 Pro 🔒
Alan BrowneM 80%8 of 10 Pro 🔒
Romaine MundleF 70%7 of 10 Pro 🔒
Luke O'NienD 70%7 of 10 Pro 🔒
Dan NeilM 70%7 of 10 Pro 🔒
Trai HumeD 60%6 of 10 Pro 🔒

Luton
Tahith ChongF 60%6 of 10 Pro 🔒
Sunderland
Romaine MundleF 70%7 of 10 Pro 🔒

Luton
Alfie DoughtyM 100%10 of 10 Pro 🔒
Daiki HashiokaD 70%7 of 10 Pro 🔒
Tom KraußM 70%7 of 10 Pro 🔒
Jordan ClarkM 60%6 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒
Victor MosesM 60%3 of 5 Pro 🔒
Sunderland
Dennis CirkinD 100%10 of 10 Pro 🔒
Jobe BellinghamM 100%10 of 10 Pro 🔒
Chris MephamD 90%9 of 10 Pro 🔒
Dan NeilM 90%9 of 10 Pro 🔒
Patrick RobertsM 80%8 of 10 Pro 🔒
Trai HumeD 80%8 of 10 Pro 🔒
Romaine MundleF 70%7 of 10 Pro 🔒
Leo Fuhr HjeldeD 70%7 of 10 Pro 🔒
Chris RiggF 60%6 of 10 Pro 🔒

Luton
Alfie DoughtyM 80%8 of 10 Pro 🔒
Victor MosesM 60%3 of 5 Pro 🔒
Sunderland
Dennis CirkinD 90%9 of 10 Pro 🔒
Jobe BellinghamM 80%8 of 10 Pro 🔒
Dan NeilM 60%6 of 10 Pro 🔒
Trai HumeD 60%6 of 10 Pro 🔒

Luton
No Luton player in this window.
Sunderland
Dennis CirkinD 70%7 of 10 Pro 🔒
Jobe BellinghamM 60%6 of 10 Pro 🔒

Luton
Carlton MorrisF 30%3 of 10 Stats only
Sunderland
Wilson IsidorF 43%3 of 7 Stats only
Romaine MundleF 30%3 of 10 Stats only

Luton
Tom KraußM 30%3 of 10 Stats only
Alfie DoughtyM 30%3 of 10 Stats only
Sunderland
Patrick RobertsM 30%3 of 10 Stats only

Luton
Thomas KaminskiG 60%6 of 10 Stats only
Sunderland
No Sunderland 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
Tom Nield refereed this match 3.87cards a gameleague 4.01 63games
Tom Nield'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.