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Player stats 24/25

Portsmouth v Luton

Your slip follows you between games.

How often each Portsmouth 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 Portsmouth v Luton: Elijah Adebayo (Luton) tops the visitors for 1+ shots on target — 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.

Portsmouth
Callum LangM 80%8 of 10 Pro 🔒
Luton
Elijah AdebayoF 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Chiedozie OgbeneM 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Tahith ChongF 60%6 of 10 Pro 🔒

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

Portsmouth
Callum LangM 90%9 of 10 Pro 🔒
Andre DozzellM 70%7 of 10 Pro 🔒
Samuel SilveraM 60%6 of 10 Pro 🔒
Luton
Elijah AdebayoF 100%10 of 10 Pro 🔒
Carlton MorrisF 90%9 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Joe TaylorF 67%4 of 6 Pro 🔒
Thomas HolmesDform earned at Reading 60%6 of 10 Pro 🔒
Teden MengiD 60%6 of 10 Pro 🔒

Portsmouth
Callum LangM 80%8 of 10 Pro 🔒
Luton
Tahith ChongF 90%9 of 10 Pro 🔒
Jordan ClarkM 80%8 of 10 Pro 🔒
Chiedozie OgbeneM 80%8 of 10 Pro 🔒
Carlton MorrisF 70%7 of 10 Pro 🔒
Amari'i BellD 60%6 of 10 Pro 🔒
Elijah AdebayoF 60%6 of 10 Pro 🔒

Portsmouth
Callum LangM 60%6 of 10 Pro 🔒
Luton
Tahith ChongF 80%8 of 10 Pro 🔒
Chiedozie OgbeneM 60%6 of 10 Pro 🔒

Portsmouth
No Portsmouth player in this window.
Luton
Tahith ChongF 60%6 of 10 Pro 🔒

Portsmouth
Andre DozzellM 90%9 of 10 Pro 🔒
Callum LangM 90%9 of 10 Pro 🔒
Luton
Alfie DoughtyM 100%10 of 10 Pro 🔒
Amari'i BellD 80%8 of 10 Pro 🔒
Tahith ChongF 80%8 of 10 Pro 🔒
Teden MengiD 80%8 of 10 Pro 🔒
Jordan ClarkM 70%7 of 10 Pro 🔒

Portsmouth
No Portsmouth player in this window.
Luton
Amari'i BellD 70%7 of 10 Pro 🔒
Alfie DoughtyM 70%7 of 10 Pro 🔒
Teden MengiD 60%6 of 10 Pro 🔒

Portsmouth
No Portsmouth player in this window.
Luton
Elijah AdebayoF 40%4 of 10 Stats only
Carlton MorrisF 30%3 of 10 Stats only

Portsmouth
No Portsmouth player in this window.
Luton
Thomas KaminskiG 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
John Busby refereed this match 3.80cards a gameleague 4.01 101games
John Busby'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.