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Player stats 23/24

Newcastle v Luton

Your slip follows you between games.

How often each Newcastle 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 Newcastle v Luton: Anthony Gordon (Newcastle) leads the home side for 1+ shots on target — 8 of 10 (80%); Elijah Adebayo (Luton) tops the visitors on 6 of 10 (60%). 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.

Newcastle
Anthony GordonF 100%10 of 10 Pro 🔒
Fabian SchärD 80%8 of 10 Pro 🔒
Callum WilsonF 80%8 of 10 Pro 🔒
Miguel AlmirónF 80%8 of 10 Pro 🔒
Harvey BarnesM 80%8 of 10 Pro 🔒
Lewis MileyM 70%7 of 10 Pro 🔒
Bruno GuimarãesM 70%7 of 10 Pro 🔒
Sven BotmanD 60%6 of 10 Pro 🔒
Luton
Ross BarkleyM 100%10 of 10 Pro 🔒
Elijah AdebayoF 70%7 of 10 Pro 🔒
Cauley WoodrowF 60%6 of 10 Pro 🔒
Chiedozie OgbeneM 60%6 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒

Newcastle
Anthony GordonF 80%8 of 10 Pro 🔒
Callum WilsonF 70%7 of 10 Pro 🔒
Luton
Ross BarkleyM 60%6 of 10 Pro 🔒

Newcastle
Anthony GordonF 70%7 of 10 Pro 🔒
Luton
No Luton player in this window.

Newcastle
Anthony GordonF 80%8 of 10 Pro 🔒
Callum WilsonF 70%7 of 10 Pro 🔒
Luton
Elijah AdebayoF 60%6 of 10 Pro 🔒

Newcastle
Fabian SchärD 70%7 of 10 Pro 🔒
Callum WilsonF 70%7 of 10 Pro 🔒
Miguel AlmirónF 70%7 of 10 Pro 🔒
Kieran TrippierD 70%7 of 10 Pro 🔒
Bruno GuimarãesM 70%7 of 10 Pro 🔒
Luton
Elijah AdebayoF 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Gabriel OshoD 70%7 of 10 Pro 🔒
Teden MengiD 70%7 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒
Amari'i BellD 60%6 of 10 Pro 🔒
Jacob BrownF 60%6 of 10 Pro 🔒

Newcastle
Bruno GuimarãesM 100%10 of 10 Pro 🔒
Anthony GordonF 90%9 of 10 Pro 🔒
Harvey BarnesM 80%8 of 10 Pro 🔒
Callum WilsonF 70%7 of 10 Pro 🔒
Sean LongstaffM 70%7 of 10 Pro 🔒
Kieran TrippierD 60%6 of 10 Pro 🔒
Tino LivramentoD 60%6 of 10 Pro 🔒
Luton
Chiedozie OgbeneM 80%8 of 10 Pro 🔒
Jacob BrownF 80%8 of 10 Pro 🔒
Ross BarkleyM 70%7 of 10 Pro 🔒

Newcastle
Bruno GuimarãesM 80%8 of 10 Pro 🔒
Anthony GordonF 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Newcastle
Bruno GuimarãesM 70%7 of 10 Pro 🔒
Luton
No Luton player in this window.

Newcastle
Kieran TrippierD 100%10 of 10 Pro 🔒
Anthony GordonF 100%10 of 10 Pro 🔒
Bruno GuimarãesM 90%9 of 10 Pro 🔒
Lewis MileyM 80%8 of 10 Pro 🔒
Miguel AlmirónF 80%8 of 10 Pro 🔒
Dan BurnD 80%8 of 10 Pro 🔒
Fabian SchärD 70%7 of 10 Pro 🔒
Sean LongstaffM 60%6 of 10 Pro 🔒
Sven BotmanD 60%6 of 10 Pro 🔒
Luton
Alfie DoughtyM 100%10 of 10 Pro 🔒
Reece BurkeD 90%9 of 10 Pro 🔒
Jacob BrownF 80%8 of 10 Pro 🔒
Gabriel OshoD 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Ross BarkleyM 80%8 of 10 Pro 🔒
Jordan ClarkF 70%7 of 10 Pro 🔒
Amari'i BellD 70%7 of 10 Pro 🔒

Newcastle
Miguel AlmirónF 70%7 of 10 Pro 🔒
Kieran TrippierD 70%7 of 10 Pro 🔒
Bruno GuimarãesM 70%7 of 10 Pro 🔒
Dan BurnD 60%6 of 10 Pro 🔒
Luton
Gabriel OshoD 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Ross BarkleyM 60%6 of 10 Pro 🔒

Newcastle
Bruno GuimarãesM 60%6 of 10 Pro 🔒
Luton
No Luton player in this window.

Newcastle
Callum WilsonF 40%4 of 10 Stats only
Harvey BarnesM 30%3 of 10 Stats only
Anthony GordonF 30%3 of 10 Stats only
Luton
Elijah AdebayoF 40%4 of 10 Stats only

Newcastle
Anthony GordonF 30%3 of 10 Stats only
Luton
Alfie DoughtyM 30%3 of 10 Stats only

Newcastle
Martin DúbravkaG 90%9 of 10 Stats only
Luton
Thomas KaminskiG 70%7 of 10 Stats only

Newcastle
Martin DúbravkaG 70%7 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
Thomas Bramall refereed this match 4.07cards a gameleague 4.08 55games
Thomas Bramall'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.