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Player stats · 23/24

Cardiff City v Huddersfield Town

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How often each Cardiff City and Huddersfield Town 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 Cardiff City v Huddersfield Town: Karlan Grant (Cardiff City) leads the home side for 1+ shots on target — 6 of 10 (60%); Delano Burgzorg (Huddersfield Town) tops the visitors on 8 of 10 (80%). Raw hit rates from recent matches, not odds.

Window
Last
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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

1+ shots

Cardiff City
Rubin ColwillM 90%9 of 10 Pro 🔒
Perry NgD 80%8 of 10 Pro 🔒
Josh BowlerM 80%8 of 10 Pro 🔒
Karlan GrantM 70%7 of 10 Pro 🔒
Yakou MéïtéF 70%7 of 10 Pro 🔒
Callum O'DowdaM 60%6 of 10 Pro 🔒
Huddersfield Town
Jack RudoniM 100%10 of 10 Pro 🔒
Tom LeesD 80%8 of 10 Pro 🔒
David KasumuM 80%8 of 10 Pro 🔒
Daniel WardF 70%7 of 10 Pro 🔒
Sorba ThomasF 70%7 of 10 Pro 🔒

2+ shots

Cardiff City
Karlan GrantM 60%6 of 10 Pro 🔒
Rubin ColwillM 60%6 of 10 Pro 🔒
Huddersfield Town
Jack RudoniM 70%7 of 10 Pro 🔒
Daniel WardF 60%6 of 10 Pro 🔒

1+ shots on target

Cardiff City
Karlan GrantM 60%6 of 10 Pro 🔒
Josh BowlerM 60%6 of 10 Pro 🔒
Huddersfield Town

1+ fouls committed

Cardiff City
Perry NgD 80%8 of 10 Pro 🔒
Joe RallsM 80%8 of 10 Pro 🔒
Rubin ColwillM 70%7 of 10 Pro 🔒
Ollie TannerF 70%7 of 10 Pro 🔒
Callum O'DowdaM 60%6 of 10 Pro 🔒
Huddersfield Town
David KasumuM 90%9 of 10 Pro 🔒
Matty PearsonD 80%8 of 10 Pro 🔒
Jack RudoniM 70%7 of 10 Pro 🔒
Alex MatosF 70%7 of 10 Pro 🔒
Sorba ThomasF 60%6 of 10 Pro 🔒
Michał HelikD 60%6 of 10 Pro 🔒
Jaheim HeadleyD 60%6 of 10 Pro 🔒

2+ fouls committed

Cardiff City
No Cardiff City player in this window.
Huddersfield Town
David KasumuM 60%6 of 10 Pro 🔒

1+ fouls won

Cardiff City
Rubin ColwillM 80%8 of 10 Pro 🔒
Perry NgD 70%7 of 10 Pro 🔒
Callum O'DowdaM 70%7 of 10 Pro 🔒
Karlan GrantM 60%6 of 10 Pro 🔒
Josh BowlerM 60%6 of 10 Pro 🔒
Manolis SiopisM 60%6 of 10 Pro 🔒
Huddersfield Town
Jack RudoniM 90%9 of 10 Pro 🔒
Brodie SpencerM 80%8 of 10 Pro 🔒
Sorba ThomasF 70%7 of 10 Pro 🔒
David KasumuM 70%7 of 10 Pro 🔒
Alex MatosF 70%7 of 10 Pro 🔒
Matty PearsonD 60%6 of 10 Pro 🔒
Jaheim HeadleyD 60%6 of 10 Pro 🔒

1+ goals

Cardiff City
Perry NgD 30%3 of 10 Stats only
Karlan GrantM 30%3 of 10 Stats only
Huddersfield Town
Michał HelikD 40%4 of 10 Stats only
Delano BurgzorgF 30%3 of 10 Stats only

1+ assists

Cardiff City
Joe RallsM 30%3 of 10 Stats only
Huddersfield Town
Sorba ThomasF 40%4 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
Matt Donohue refereed this match 4.37cards/game 1.09×vs league 107games
Matt Donohue'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.