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Player stats 26/27

Hibernian v Aberdeen

Your slip follows you between games.

How often each Hibernian and Aberdeen 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 Aberdeen: Callum Wright (Hibernian) leads the home side for 1+ shots on target — 3 of 5 (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.

Hibernian
Nathan LoweF 83%5 of 6 Pro 🔒
Callum WrightM 80%4 of 5 Pro 🔒
Felix PasslackD 70%7 of 10 Pro 🔒
Josh MulliganM 70%7 of 10 Pro 🔒
Ante ŠutoF 70%7 of 10 Pro 🔒
Martin BoyleF 60%6 of 10 Pro 🔒
Adam MayorD 60%3 of 5 Pro 🔒
Aberdeen
Kevin NisbetF 90%9 of 10 Pro 🔒
Connor RonanM 75%3 of 4 Pro 🔒
Ayoub MoulouaF 67%4 of 6 Pro 🔒
Daniel HappeD 60%3 of 5 Pro 🔒

Hibernian
Nathan LoweF 67%4 of 6 Pro 🔒
Aberdeen
Kevin NisbetF 60%6 of 10 Pro 🔒

Hibernian
Callum WrightM 60%3 of 5 Pro 🔒
Aberdeen
No Aberdeen player in this window.

Hibernian
Nathan LoweF 83%5 of 6 Pro 🔒
Josh MulliganM 80%8 of 10 Pro 🔒
Grant HanleyD 60%6 of 10 Pro 🔒
Ante ŠutoF 60%6 of 10 Pro 🔒
Martin BoyleF 60%6 of 10 Pro 🔒
Adam MayorD 60%3 of 5 Pro 🔒
Callum WrightM 60%3 of 5 Pro 🔒
Aberdeen
Aremu AfeezM 80%8 of 10 Pro 🔒
Toyosi OlusanyaF 70%7 of 10 Pro 🔒
Gavin MolloyD 60%6 of 10 Pro 🔒
Daniel HappeD 60%3 of 5 Pro 🔒

Hibernian
Josh MulliganM 70%7 of 10 Pro 🔒
Aberdeen
No Aberdeen player in this window.

Hibernian
Owen EldingF 70%7 of 10 Pro 🔒
Martin BoyleF 70%7 of 10 Pro 🔒
Nathan LoweF 67%4 of 6 Pro 🔒
Felix PasslackD 60%6 of 10 Pro 🔒
Joe NewellM 60%6 of 10 Pro 🔒
Aberdeen
Toyosi OlusanyaF 80%8 of 10 Pro 🔒
Mats KnoesterD 70%7 of 10 Pro 🔒
Aremu AfeezM 70%7 of 10 Pro 🔒
Gavin MolloyD 60%6 of 10 Pro 🔒
Kevin NisbetF 60%6 of 10 Pro 🔒
Stuart ArmstrongM 60%6 of 10 Pro 🔒

Hibernian
No Hibernian player in this window.
Aberdeen
Toyosi OlusanyaF 70%7 of 10 Pro 🔒

Hibernian
Adam MayorD 100%5 of 5 Pro 🔒
Felix PasslackD 90%9 of 10 Pro 🔒
Josh MulliganM 90%9 of 10 Pro 🔒
Jack IredaleD 80%8 of 10 Pro 🔒
Grant HanleyD 70%7 of 10 Pro 🔒
Joe NewellM 70%7 of 10 Pro 🔒
Jason KerrD 67%4 of 6 Pro 🔒
Owen EldingF 60%6 of 10 Pro 🔒
Callum WrightM 60%3 of 5 Pro 🔒
Aberdeen
Aremu AfeezM 90%9 of 10 Pro 🔒
Stuart ArmstrongM 90%9 of 10 Pro 🔒
Ayoub MoulouaF 83%5 of 6 Pro 🔒
Alexander BriedlM 75%3 of 4 Pro 🔒
Toyosi OlusanyaF 70%7 of 10 Pro 🔒
Gavin MolloyD 60%6 of 10 Pro 🔒
Jack MilneD 60%6 of 10 Pro 🔒
Daniel HappeD 60%3 of 5 Pro 🔒

Hibernian
Adam MayorD 100%5 of 5 Pro 🔒
Felix PasslackD 70%7 of 10 Pro 🔒
Josh MulliganM 70%7 of 10 Pro 🔒
Jason KerrD 67%4 of 6 Pro 🔒
Aberdeen
Aremu AfeezM 60%6 of 10 Pro 🔒

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

Hibernian
Martin BoyleF 40%4 of 10 Stats only
Callum WrightM 40%2 of 5 Stats only
Aberdeen
No Aberdeen player in this window.

Hibernian
Felix PasslackD 30%3 of 10 Stats only
Aberdeen
No Aberdeen player in this window.

Hibernian
No Hibernian player in this window.
Aberdeen
Marius MüllerG 100%6 of 6 Stats only

Hibernian
No Hibernian player in this window.
Aberdeen
Marius MüllerG 67%4 of 6 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.