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Player stats 23/24

Leeds v Ipswich

Your slip follows you between games.

How often each Leeds 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 Leeds v Ipswich: Joël Piroe (Leeds) leads the home side for 1+ shots on target — 9 of 10 (90%); George Hirst (Ipswich) 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.

Leeds
Joël PiroeM 100%10 of 10 Pro 🔒
Crysencio SummervilleM 100%10 of 10 Pro 🔒
Georginio RutterF 100%10 of 10 Pro 🔒
Daniel JamesM 90%9 of 10 Pro 🔒
Patrick BamfordF 60%6 of 10 Pro 🔒
Ipswich
Conor ChaplinM 90%9 of 10 Pro 🔒
Wes BurnsM 80%8 of 10 Pro 🔒
Nathan BroadheadM 80%8 of 10 Pro 🔒
Omari HutchinsonM 70%7 of 10 Pro 🔒
Massimo LuongoM 70%7 of 10 Pro 🔒
Sam MorsyM 60%6 of 10 Pro 🔒
George HirstF 60%6 of 10 Pro 🔒

Leeds
Joël PiroeM 100%10 of 10 Pro 🔒
Daniel JamesM 70%7 of 10 Pro 🔒
Georginio RutterF 60%6 of 10 Pro 🔒
Ipswich
Conor ChaplinM 80%8 of 10 Pro 🔒
George HirstF 60%6 of 10 Pro 🔒
Nathan BroadheadM 60%6 of 10 Pro 🔒

Leeds
Ipswich
Conor ChaplinM 70%7 of 10 Pro 🔒

Leeds
Joël PiroeM 90%9 of 10 Pro 🔒
Daniel JamesM 70%7 of 10 Pro 🔒
Georginio RutterF 60%6 of 10 Pro 🔒
Ipswich
George HirstF 60%6 of 10 Pro 🔒

Leeds
Ethan AmpaduM 80%8 of 10 Pro 🔒
Archie GrayD 70%7 of 10 Pro 🔒
Georginio RutterF 60%6 of 10 Pro 🔒
Ipswich
George HirstF 90%9 of 10 Pro 🔒
Sam MorsyM 80%8 of 10 Pro 🔒
Massimo LuongoM 80%8 of 10 Pro 🔒
Brandon WilliamsD 80%8 of 10 Pro 🔒
Harry ClarkeD 70%7 of 10 Pro 🔒
Marcus HarnessM 60%6 of 10 Pro 🔒
Leif DavisD 60%6 of 10 Pro 🔒

Leeds
Georginio RutterF 100%10 of 10 Pro 🔒
Glen KamaraM 90%9 of 10 Pro 🔒
Ethan AmpaduM 70%7 of 10 Pro 🔒
Archie GrayD 60%6 of 10 Pro 🔒
Daniel JamesM 60%6 of 10 Pro 🔒
Wilfried GnontoF 60%6 of 10 Pro 🔒
Ipswich
Massimo LuongoM 80%8 of 10 Pro 🔒
Sam MorsyM 70%7 of 10 Pro 🔒
Brandon WilliamsD 70%7 of 10 Pro 🔒
Wes BurnsM 60%6 of 10 Pro 🔒
Nathan BroadheadM 60%6 of 10 Pro 🔒

Leeds
Georginio RutterF 90%9 of 10 Pro 🔒
Ipswich
Massimo LuongoM 60%6 of 10 Pro 🔒

Leeds
Archie GrayD 100%10 of 10 Pro 🔒
Glen KamaraM 90%9 of 10 Pro 🔒
Pascal StruijkD 80%8 of 10 Pro 🔒
Ethan AmpaduM 80%8 of 10 Pro 🔒
Joël PiroeM 80%8 of 10 Pro 🔒
Djed SpenceD 80%8 of 10 Pro 🔒
Junior FirpoD 70%7 of 10 Pro 🔒
Daniel JamesM 60%6 of 10 Pro 🔒
Joe RodonD 60%6 of 10 Pro 🔒
Georginio RutterF 60%6 of 10 Pro 🔒
Ipswich
Sam MorsyM 80%8 of 10 Pro 🔒
Leif DavisD 80%8 of 10 Pro 🔒
Harry ClarkeD 80%8 of 10 Pro 🔒
Massimo LuongoM 70%7 of 10 Pro 🔒
Nathan BroadheadM 70%7 of 10 Pro 🔒
Brandon WilliamsD 70%7 of 10 Pro 🔒
Omari HutchinsonM 60%6 of 10 Pro 🔒

Leeds
Archie GrayD 80%8 of 10 Pro 🔒
Junior FirpoD 70%7 of 10 Pro 🔒
Glen KamaraM 60%6 of 10 Pro 🔒
Ipswich
Sam MorsyM 70%7 of 10 Pro 🔒
Brandon WilliamsD 60%6 of 10 Pro 🔒
Leif DavisD 60%6 of 10 Pro 🔒

Leeds
Daniel JamesM 50%5 of 10 Stats only
Crysencio SummervilleM 50%5 of 10 Stats only
Joël PiroeM 30%3 of 10 Stats only
Ipswich
George HirstF 40%4 of 10 Stats only
Wes BurnsM 30%3 of 10 Stats only
Conor ChaplinM 30%3 of 10 Stats only
Nathan BroadheadM 30%3 of 10 Stats only

Leeds
Georginio RutterF 50%5 of 10 Stats only
Crysencio SummervilleM 30%3 of 10 Stats only
Ipswich
Conor ChaplinM 40%4 of 10 Stats only
Leif DavisD 40%4 of 10 Stats only
George HirstF 30%3 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+12% cards vs the league average
Stephen Martin refereed this match 4.50cards a gameleague 4.01 96games
Stephen Martin'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.