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Player stats · 23/24

Ipswich v Huddersfield Town

Your slip follows you between games.

How often each Ipswich 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 Ipswich v Huddersfield Town: Kieffer Moore (Ipswich) leads the home side for 1+ shots on target — 7 of 10 (70%); Josh Koroma (Huddersfield Town) tops the visitors on 6 of 10 (60%). 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

Ipswich
Conor ChaplinM 90%9 of 10 Pro 🔒
Kieffer MooreF 80%8 of 10 Pro 🔒
George HirstF 70%7 of 10 Pro 🔒
Sam MorsyM 60%6 of 10 Pro 🔒
Wes BurnsM 60%6 of 10 Pro 🔒
Huddersfield Town
Jack RudoniM 100%10 of 10 Pro 🔒
Josh KoromaF 90%9 of 10 Pro 🔒
David KasumuM 80%8 of 10 Pro 🔒
Rhys HealeyF 80%8 of 10 Pro 🔒
Ben WilesM 70%7 of 10 Pro 🔒
Daniel WardF 60%6 of 10 Pro 🔒

2+ shots

Ipswich
Huddersfield Town
Jack RudoniM 90%9 of 10 Pro 🔒
Josh KoromaF 70%7 of 10 Pro 🔒
Rhys HealeyF 60%6 of 10 Pro 🔒

3+ shots

Ipswich
No Ipswich player in this window.
Huddersfield Town
Jack RudoniM 70%7 of 10 Pro 🔒

1+ shots on target

Ipswich
Huddersfield Town
Josh KoromaF 60%6 of 10 Pro 🔒

1+ fouls committed

Ipswich
Axel TuanzebeD 90%9 of 10 Pro 🔒
Sam MorsyM 80%8 of 10 Pro 🔒
Leif DavisD 70%7 of 10 Pro 🔒
Kayden JacksonF 70%7 of 10 Pro 🔒
Conor ChaplinM 60%6 of 10 Pro 🔒
Kieffer MooreF 60%6 of 10 Pro 🔒
Huddersfield Town
David KasumuM 90%9 of 10 Pro 🔒
Michał HelikD 70%7 of 10 Pro 🔒
Jack RudoniM 70%7 of 10 Pro 🔒
Rhys HealeyF 60%6 of 10 Pro 🔒
Alex MatosF 60%6 of 10 Pro 🔒
Josh KoromaF 60%6 of 10 Pro 🔒
Brodie SpencerD 60%6 of 10 Pro 🔒

2+ fouls committed

Ipswich
No Ipswich player in this window.
Huddersfield Town
David KasumuM 70%7 of 10 Pro 🔒

1+ fouls won

Ipswich
Axel TuanzebeD 80%8 of 10 Pro 🔒
Massimo LuongoM 80%8 of 10 Pro 🔒
Sam MorsyM 70%7 of 10 Pro 🔒
Leif DavisD 60%6 of 10 Pro 🔒
Conor ChaplinM 60%6 of 10 Pro 🔒
Kieffer MooreF 60%6 of 10 Pro 🔒
Huddersfield Town
Rhys HealeyF 80%8 of 10 Pro 🔒
Jack RudoniM 70%7 of 10 Pro 🔒
Brodie SpencerD 70%7 of 10 Pro 🔒
Matty PearsonD 60%6 of 10 Pro 🔒
Michał HelikD 60%6 of 10 Pro 🔒
David KasumuM 60%6 of 10 Pro 🔒
Josh KoromaF 60%6 of 10 Pro 🔒

1+ goals

Ipswich
George HirstF 30%3 of 10 Stats only
Conor ChaplinM 30%3 of 10 Stats only
Huddersfield Town
Rhys HealeyF 30%3 of 10 Stats only

1+ assists

Ipswich
Leif DavisD 50%5 of 10 Stats only
Wes BurnsM 30%3 of 10 Stats only
Huddersfield Town
No Huddersfield Town 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
Simon Hooper refereed this match

10 matches on record — too few to quote a card rate against. See the 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.