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Player stats 23/24

Cardiff City v Ipswich

Your slip follows you between games.

How often each Cardiff City 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 Cardiff City v Ipswich: Karlan Grant (Cardiff City) leads the home side for 1+ shots on target — 6 of 10 (60%); Conor Chaplin (Ipswich) tops the visitors on 8 of 10 (80%). 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.

Cardiff City
Rubin ColwillM 90%9 of 10 Pro 🔒
Yakou MéïtéF 70%7 of 10 Pro 🔒
Perry NgD 70%7 of 10 Pro 🔒
Karlan GrantM 70%7 of 10 Pro 🔒
Josh BowlerM 70%7 of 10 Pro 🔒
Ipswich
Kieffer MooreF 90%9 of 10 Pro 🔒
Conor ChaplinM 90%9 of 10 Pro 🔒
Ali Al-HamadiF 86%6 of 7 Pro 🔒
Wes BurnsM 80%8 of 10 Pro 🔒
Omari HutchinsonM 70%7 of 10 Pro 🔒
Leif DavisD 70%7 of 10 Pro 🔒
Nathan BroadheadF 60%6 of 10 Pro 🔒
Jeremy SarmientoM 60%6 of 10 Pro 🔒

Cardiff City
Rubin ColwillM 60%6 of 10 Pro 🔒
Ipswich
Kieffer MooreF 70%7 of 10 Pro 🔒
Conor ChaplinM 70%7 of 10 Pro 🔒

Cardiff City
Karlan GrantM 60%6 of 10 Pro 🔒
Ipswich
Conor ChaplinM 80%8 of 10 Pro 🔒
Kieffer MooreF 60%6 of 10 Pro 🔒

Cardiff City
Joe RallsM 90%9 of 10 Pro 🔒
Perry NgD 90%9 of 10 Pro 🔒
Rubin ColwillM 60%6 of 10 Pro 🔒
Dimitris GoutasD 60%6 of 10 Pro 🔒
Famara DiédhiouF 60%6 of 10 Pro 🔒
Ipswich
Sam MorsyM 80%8 of 10 Pro 🔒
Massimo LuongoM 80%8 of 10 Pro 🔒
Kieffer MooreF 70%7 of 10 Pro 🔒
Leif DavisD 70%7 of 10 Pro 🔒
Conor ChaplinM 60%6 of 10 Pro 🔒
Jeremy SarmientoM 60%6 of 10 Pro 🔒

Cardiff City
No Cardiff City player in this window.
Ipswich
Sam MorsyM 60%6 of 10 Pro 🔒
Kieffer MooreF 60%6 of 10 Pro 🔒

Cardiff City
Rubin ColwillM 80%8 of 10 Pro 🔒
Callum O'DowdaM 80%8 of 10 Pro 🔒
Perry NgD 70%7 of 10 Pro 🔒
Manolis SiopisM 60%6 of 10 Pro 🔒
Karlan GrantM 60%6 of 10 Pro 🔒
Josh BowlerM 60%6 of 10 Pro 🔒
Ipswich
Kieffer MooreF 80%8 of 10 Pro 🔒
Massimo LuongoM 70%7 of 10 Pro 🔒
Sam MorsyM 60%6 of 10 Pro 🔒
Omari HutchinsonM 60%6 of 10 Pro 🔒
Conor ChaplinM 60%6 of 10 Pro 🔒
Leif DavisD 60%6 of 10 Pro 🔒

Cardiff City
No Cardiff City player in this window.
Ipswich
Kieffer MooreF 60%6 of 10 Pro 🔒

Cardiff City
Perry NgD 90%9 of 10 Pro 🔒
Callum O'DowdaM 80%8 of 10 Pro 🔒
Ryan WintleM 80%8 of 10 Pro 🔒
Manolis SiopisM 70%7 of 10 Pro 🔒
Joe RallsM 70%7 of 10 Pro 🔒
Dimitris GoutasD 70%7 of 10 Pro 🔒
Josh BowlerM 70%7 of 10 Pro 🔒
David TurnbullM 62%5 of 8 Pro 🔒
Rubin ColwillM 60%6 of 10 Pro 🔒
Yakou MéïtéF 60%6 of 10 Pro 🔒
Nathaniel PhillipsD 60%6 of 10 Pro 🔒
Ipswich
Leif DavisD 90%9 of 10 Pro 🔒
Sam MorsyM 80%8 of 10 Pro 🔒
Massimo LuongoM 70%7 of 10 Pro 🔒
Conor ChaplinM 70%7 of 10 Pro 🔒
Omari HutchinsonM 60%6 of 10 Pro 🔒
Cameron BurgessD 60%6 of 10 Pro 🔒
Marcus HarnessM 60%6 of 10 Pro 🔒
Jack TaylorM 60%6 of 10 Pro 🔒

Cardiff City
Perry NgD 90%9 of 10 Pro 🔒
Rubin ColwillM 60%6 of 10 Pro 🔒
Ipswich
Sam MorsyM 70%7 of 10 Pro 🔒
Massimo LuongoM 60%6 of 10 Pro 🔒
Leif DavisD 60%6 of 10 Pro 🔒

Cardiff City
Perry NgD 70%7 of 10 Pro 🔒
Ipswich
No Ipswich player in this window.

Cardiff City
Perry NgD 30%3 of 10 Stats only
Ipswich
Kieffer MooreF 40%4 of 10 Stats only
Conor ChaplinM 40%4 of 10 Stats only
Omari HutchinsonM 30%3 of 10 Stats only
Nathan BroadheadF 30%3 of 10 Stats only

Cardiff City
Joe RallsM 30%3 of 10 Stats only
Ipswich
Leif DavisD 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
Oliver Langford refereed this match 3.75cards a gameleague 4.01 103games
Oliver Langford'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.