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Player stats 23/24

Birmingham City v Cardiff City

Your slip follows you between games.

How often each Birmingham City and Cardiff City 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 Birmingham City v Cardiff City: Jay Stansfield (Birmingham City) leads the home side for 1+ shots on target — 6 of 10 (60%); Karlan Grant (Cardiff City) 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.

Birmingham City
Jay StansfieldF 90%9 of 10 Pro 🔒
Koji MiyoshiM 80%8 of 10 Pro 🔒
Juninho BacunaM 80%8 of 10 Pro 🔒
Jordan JamesM 70%7 of 10 Pro 🔒
Alex PritchardM 70%7 of 10 Pro 🔒
Keshi AndersonF 60%6 of 10 Pro 🔒
Seung Ho PaikM 60%6 of 10 Pro 🔒
Ethan LairdD 60%6 of 10 Pro 🔒
Cardiff City
Rubin ColwillM 90%9 of 10 Pro 🔒
Karlan GrantM 90%9 of 10 Pro 🔒
Yakou MéïtéF 80%8 of 10 Pro 🔒
Perry NgD 80%8 of 10 Pro 🔒
Aaron RamseyF 70%7 of 10 Pro 🔒
Josh BowlerM 70%7 of 10 Pro 🔒
Dimitris GoutasD 60%6 of 10 Pro 🔒

Birmingham City
Jay StansfieldF 80%8 of 10 Pro 🔒
Koji MiyoshiM 60%6 of 10 Pro 🔒
Juninho BacunaM 60%6 of 10 Pro 🔒
Cardiff City
Karlan GrantM 70%7 of 10 Pro 🔒
Rubin ColwillM 60%6 of 10 Pro 🔒

Birmingham City
Jay StansfieldF 60%6 of 10 Pro 🔒
Cardiff City
Karlan GrantM 60%6 of 10 Pro 🔒

Birmingham City
Krystian BielikM 90%9 of 10 Pro 🔒
Juninho BacunaM 80%8 of 10 Pro 🔒
Dion SandersonD 80%8 of 10 Pro 🔒
Jay StansfieldF 70%7 of 10 Pro 🔒
Jordan JamesM 70%7 of 10 Pro 🔒
Seung Ho PaikM 60%6 of 10 Pro 🔒
Ethan LairdD 60%6 of 10 Pro 🔒
Cardiff City
Joe RallsM 90%9 of 10 Pro 🔒
Aaron RamseyF 70%7 of 10 Pro 🔒
Perry NgD 70%7 of 10 Pro 🔒
Yakou MéïtéF 60%6 of 10 Pro 🔒

Birmingham City
Juninho BacunaM 60%6 of 10 Pro 🔒
Cardiff City
Joe RallsM 60%6 of 10 Pro 🔒

Birmingham City
Ethan LairdD 100%10 of 10 Pro 🔒
Krystian BielikM 60%6 of 10 Pro 🔒
Keshi AndersonF 60%6 of 10 Pro 🔒
Emanuel AiwuD 60%6 of 10 Pro 🔒
Lee BuchananD 60%6 of 10 Pro 🔒
Cardiff City
Perry NgD 70%7 of 10 Pro 🔒
Karlan GrantM 70%7 of 10 Pro 🔒
Josh BowlerM 70%7 of 10 Pro 🔒
Rubin ColwillM 60%6 of 10 Pro 🔒

Birmingham City
Lee BuchananD 100%10 of 10 Pro 🔒
Cody DramehD 100%10 of 10 Pro 🔒
Ethan LairdD 90%9 of 10 Pro 🔒
Seung Ho PaikM 80%8 of 10 Pro 🔒
Jay StansfieldF 70%7 of 10 Pro 🔒
Krystian BielikM 70%7 of 10 Pro 🔒
Juninho BacunaM 70%7 of 10 Pro 🔒
Emanuel AiwuD 70%7 of 10 Pro 🔒
Jordan JamesM 60%6 of 10 Pro 🔒
Alex PritchardM 60%6 of 10 Pro 🔒
Koji MiyoshiM 60%6 of 10 Pro 🔒
Dion SandersonD 60%6 of 10 Pro 🔒
Cardiff City
Perry NgD 90%9 of 10 Pro 🔒
Joe RallsM 80%8 of 10 Pro 🔒
Jamilu CollinsD 80%8 of 10 Pro 🔒
Manolis SiopisM 70%7 of 10 Pro 🔒
Josh BowlerM 70%7 of 10 Pro 🔒
Nathaniel PhillipsD 70%7 of 10 Pro 🔒
David TurnbullM 60%6 of 10 Pro 🔒
Aaron RamseyF 60%6 of 10 Pro 🔒
Dimitris GoutasD 60%6 of 10 Pro 🔒

Birmingham City
Lee BuchananD 90%9 of 10 Pro 🔒
Seung Ho PaikM 60%6 of 10 Pro 🔒
Emanuel AiwuD 60%6 of 10 Pro 🔒
Ethan LairdD 60%6 of 10 Pro 🔒
Cody DramehD 60%6 of 10 Pro 🔒
Cardiff City
Perry NgD 80%8 of 10 Pro 🔒
Manolis SiopisM 70%7 of 10 Pro 🔒
Jamilu CollinsD 70%7 of 10 Pro 🔒

Birmingham City
Lee BuchananD 60%6 of 10 Pro 🔒
Cardiff City
Perry NgD 70%7 of 10 Pro 🔒

Birmingham City
Jay StansfieldF 30%3 of 10 Stats only
Cardiff City
Aaron RamseyF 30%3 of 10 Stats only

Birmingham City
John RuddyG 70%7 of 10 Stats only
Cardiff City
Ethan HorvathG 70%7 of 10 Stats only

Birmingham City
John RuddyG 60%6 of 10 Stats only
Cardiff City
No Cardiff City 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
Sam Allison refereed this match 3.72cards a gameleague 4.01 65games
Sam Allison'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.