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Player stats 23/24

Huddersfield Town v Ipswich

Your slip follows you between games.

How often each Huddersfield Town and Ipswich 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 Huddersfield Town v Ipswich: Josh Koroma (Huddersfield Town) leads the home side for 1+ shots on target — 7 of 10 (70%); Conor Chaplin (Ipswich) tops the visitors on 7 of 8 (88%). 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.

Huddersfield Town
Josh KoromaF 90%9 of 10 Pro 🔒
Jack RudoniM 90%9 of 10 Pro 🔒
Kian HarrattF 60%6 of 10 Pro 🔒
Matty PearsonD 60%6 of 10 Pro 🔒
Ipswich
Wes BurnsM 100%8 of 8 Pro 🔒
Conor ChaplinM 100%8 of 8 Pro 🔒
George HirstF 80%8 of 10 Pro 🔒
Freddie LadapoF 80%4 of 5 Pro 🔒
Omari HutchinsonM 62%5 of 8 Pro 🔒
Massimo LuongoM 62%5 of 8 Pro 🔒

Huddersfield Town
Josh KoromaF 90%9 of 10 Pro 🔒
Jack RudoniM 80%8 of 10 Pro 🔒
Ipswich
Conor ChaplinM 100%8 of 8 Pro 🔒
George HirstF 60%6 of 10 Pro 🔒

Huddersfield Town
Josh KoromaF 70%7 of 10 Pro 🔒
Ipswich
Conor ChaplinM 88%7 of 8 Pro 🔒

Huddersfield Town
Josh KoromaF 70%7 of 10 Pro 🔒
Ipswich
Conor ChaplinM 88%7 of 8 Pro 🔒

Huddersfield Town
Josh KoromaF 80%8 of 10 Pro 🔒
Matty PearsonD 70%7 of 10 Pro 🔒
Michał HelikD 70%7 of 10 Pro 🔒
Tom LeesD 70%7 of 10 Pro 🔒
Jonathan HoggM 60%6 of 10 Pro 🔒
Josh RuffelsD 60%6 of 10 Pro 🔒
Jack RudoniM 60%6 of 10 Pro 🔒
Ipswich
George HirstF 80%8 of 10 Pro 🔒
Massimo LuongoM 75%6 of 8 Pro 🔒
Wes BurnsM 75%6 of 8 Pro 🔒
Leif DavisD 71%5 of 7 Pro 🔒
Harry ClarkeD 60%6 of 10 Pro 🔒
Brandon WilliamsD 60%3 of 5 Pro 🔒

Huddersfield Town
Josh KoromaF 90%9 of 10 Pro 🔒
Jack RudoniM 90%9 of 10 Pro 🔒
Ben JacksonD 60%6 of 10 Pro 🔒
Jonathan HoggM 60%6 of 10 Pro 🔒
Ipswich
Massimo LuongoM 88%7 of 8 Pro 🔒
Wes BurnsM 88%7 of 8 Pro 🔒
Conor ChaplinM 88%7 of 8 Pro 🔒
Leif DavisD 86%6 of 7 Pro 🔒

Huddersfield Town
No Huddersfield Town player in this window.
Ipswich
Leif DavisD 71%5 of 7 Pro 🔒
Massimo LuongoM 62%5 of 8 Pro 🔒

Huddersfield Town
Josh RuffelsD 90%9 of 10 Pro 🔒
Matty PearsonD 90%9 of 10 Pro 🔒
Michał HelikD 90%9 of 10 Pro 🔒
Tom LeesD 90%9 of 10 Pro 🔒
Jonathan HoggM 80%8 of 10 Pro 🔒
Jack RudoniM 70%7 of 10 Pro 🔒
Yuta NakayamaM 60%6 of 10 Pro 🔒
Ipswich
Massimo LuongoM 100%8 of 8 Pro 🔒
Luke WoolfendenD 100%8 of 8 Pro 🔒
Wes BurnsM 88%7 of 8 Pro 🔒
Leif DavisD 86%6 of 7 Pro 🔒
Harry ClarkeD 70%7 of 10 Pro 🔒
Omari HutchinsonM 62%5 of 8 Pro 🔒
Conor ChaplinM 62%5 of 8 Pro 🔒
Brandon WilliamsD 60%3 of 5 Pro 🔒

Huddersfield Town
Tom LeesD 70%7 of 10 Pro 🔒
Jonathan HoggM 60%6 of 10 Pro 🔒
Josh RuffelsD 60%6 of 10 Pro 🔒
Yuta NakayamaM 60%6 of 10 Pro 🔒
Ipswich
Massimo LuongoM 88%7 of 8 Pro 🔒
Leif DavisD 71%5 of 7 Pro 🔒
Wes BurnsM 62%5 of 8 Pro 🔒

Huddersfield Town
No Huddersfield Town player in this window.
Ipswich
Massimo LuongoM 75%6 of 8 Pro 🔒

Huddersfield Town
No Huddersfield Town player in this window.
Ipswich
Conor ChaplinM 62%5 of 8 Pro 🔒

Huddersfield Town
No Huddersfield Town player in this window.
Ipswich
Conor ChaplinM 38%3 of 8 Stats only

Huddersfield Town
Sorba ThomasM 30%3 of 10 Stats only
Ipswich
No Ipswich player in this window.

Huddersfield Town
No Huddersfield Town player in this window.
Ipswich
Václav HladkýG 75%6 of 8 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
Geoff Eltringham refereed this match 4.08cards a gameleague 4.01 36games
Geoff Eltringham'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.