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Player stats 26/27

Hibernian v Kilmarnock

Your slip follows you between games.

How often each Hibernian and Kilmarnock 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 Hibernian v Kilmarnock: Nathan Lowe (Hibernian) leads the home side for 1+ shots on target — 3 of 5 (60%); Joe Hugill (Kilmarnock) tops the visitors on 7 of 10 (70%). 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.

Hibernian
Nathan LoweF 80%4 of 5 Pro 🔒
Callum WrightM 75%3 of 4 Pro 🔒
Josh MulliganM 70%7 of 10 Pro 🔒
Ante ŠutoF 70%7 of 10 Pro 🔒
Thibault KlidjéF 70%7 of 10 Pro 🔒
Kanayochukwu MegwaD 60%6 of 10 Pro 🔒
Felix PasslackD 60%6 of 10 Pro 🔒
Kilmarnock
Joe HugillF 90%9 of 10 Pro 🔒
Tyreece John-JulesM 80%8 of 10 Pro 🔒
Greg KiltieF 80%8 of 10 Pro 🔒
Djenairo DanielsF 70%7 of 10 Pro 🔒
Cathal McCarthyD 67%2 of 3 Pro 🔒
Tom LoweryM 60%6 of 10 Pro 🔒

Hibernian
Nathan LoweF 60%3 of 5 Pro 🔒
Kilmarnock
Joe HugillF 70%7 of 10 Pro 🔒
Tyreece John-JulesM 60%6 of 10 Pro 🔒

Hibernian
Nathan LoweF 60%3 of 5 Pro 🔒
Kilmarnock
Joe HugillF 70%7 of 10 Pro 🔒

Hibernian
Jacob DevaneyM 100%10 of 10 Pro 🔒
Nathan LoweF 100%5 of 5 Pro 🔒
Adam MayorD 75%3 of 4 Pro 🔒
Callum WrightM 75%3 of 4 Pro 🔒
Josh MulliganM 70%7 of 10 Pro 🔒
Felix PasslackD 60%6 of 10 Pro 🔒
Grant HanleyD 60%6 of 10 Pro 🔒
Ante ŠutoF 60%6 of 10 Pro 🔒
Kilmarnock
Joe HugillF 80%8 of 10 Pro 🔒
Jamie BrandonD 80%8 of 10 Pro 🔒
Greg KiltieF 70%7 of 10 Pro 🔒
Tyreece John-JulesM 60%6 of 10 Pro 🔒
George StangerD 60%6 of 10 Pro 🔒
Djenairo DanielsF 60%6 of 10 Pro 🔒

Hibernian
Josh MulliganM 60%6 of 10 Pro 🔒
Jacob DevaneyM 60%6 of 10 Pro 🔒
Kilmarnock
No Kilmarnock player in this window.

Hibernian
Nathan LoweF 80%4 of 5 Pro 🔒
Felix PasslackD 70%7 of 10 Pro 🔒
Thibault KlidjéF 70%7 of 10 Pro 🔒
Martin BoyleF 70%7 of 10 Pro 🔒
Jacob DevaneyM 70%7 of 10 Pro 🔒
Kanayochukwu MegwaD 60%6 of 10 Pro 🔒
Owen EldingF 60%6 of 10 Pro 🔒
Jason KerrD 60%3 of 5 Pro 🔒
Kilmarnock
Greg KiltieF 100%10 of 10 Pro 🔒
Cathal McCarthyD 100%3 of 3 Pro 🔒
Tyreece John-JulesM 70%7 of 10 Pro 🔒
Joe HugillF 70%7 of 10 Pro 🔒
Tom LoweryM 60%6 of 10 Pro 🔒

Hibernian
Kilmarnock
Greg KiltieF 90%9 of 10 Pro 🔒

Hibernian
No Hibernian player in this window.
Kilmarnock
Greg KiltieF 70%7 of 10 Pro 🔒

Hibernian
Felix PasslackD 100%10 of 10 Pro 🔒
Adam MayorD 100%4 of 4 Pro 🔒
Josh MulliganM 90%9 of 10 Pro 🔒
Jack IredaleD 80%8 of 10 Pro 🔒
Jacob DevaneyM 80%8 of 10 Pro 🔒
Callum WrightM 75%3 of 4 Pro 🔒
Kanayochukwu MegwaD 70%7 of 10 Pro 🔒
Owen EldingF 70%7 of 10 Pro 🔒
Grant HanleyD 60%6 of 10 Pro 🔒
Martin BoyleF 60%6 of 10 Pro 🔒
Jason KerrD 60%3 of 5 Pro 🔒
Kilmarnock
Greg KiltieF 90%9 of 10 Pro 🔒
Tom LoweryM 90%9 of 10 Pro 🔒
George StangerD 80%8 of 10 Pro 🔒
Jamie BrandonD 80%8 of 10 Pro 🔒
Erik RingF 75%3 of 4 Pro 🔒
Djenairo DanielsF 70%7 of 10 Pro 🔒
Cathal McCarthyD 67%2 of 3 Pro 🔒
Tyreece John-JulesM 60%6 of 10 Pro 🔒

Hibernian
Adam MayorD 100%4 of 4 Pro 🔒
Felix PasslackD 80%8 of 10 Pro 🔒
Josh MulliganM 60%6 of 10 Pro 🔒
Jason KerrD 60%3 of 5 Pro 🔒
Kilmarnock
Erik RingF 75%3 of 4 Pro 🔒

Hibernian
Callum WrightM 50%2 of 4 Stats only
Martin BoyleF 40%4 of 10 Stats only
Kilmarnock
Joe HugillF 40%4 of 10 Stats only
Tyreece John-JulesM 30%3 of 10 Stats only

Hibernian
Felix PasslackD 30%3 of 10 Stats only
Kilmarnock
Greg KiltieF 30%3 of 10 Stats only
Tom LoweryM 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.

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.