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Player stats 25/26

Hibernian v St. Mirren

Your slip follows you between games.

How often each Hibernian and St. Mirren 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 St. Mirren: Martin Boyle (Hibernian) leads the home side for 1+ shots on target — 6 of 10 (60%); Mikael Mandron (St. Mirren) 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.

Hibernian
Martin BoyleF 100%10 of 10 Pro 🔒
Jamie McGrathM 80%8 of 10 Pro 🔒
Josh CampbellM 60%6 of 10 Pro 🔒
St. Mirren
Mikael MandronF 90%9 of 10 Pro 🔒
Conor McMenaminD 80%8 of 10 Pro 🔒
Dan N'LunduluF 70%7 of 10 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Roland IdowuM 70%7 of 10 Pro 🔒
Alexander GogićM 60%6 of 10 Pro 🔒
Mark O'HaraM 60%6 of 10 Pro 🔒

Hibernian
No Hibernian player in this window.
St. Mirren
Mikael MandronF 70%7 of 10 Pro 🔒
Dan N'LunduluF 60%6 of 10 Pro 🔒

Hibernian
Martin BoyleF 60%6 of 10 Pro 🔒
St. Mirren
Mikael MandronF 60%6 of 10 Pro 🔒

Hibernian
Daniel BarlaserM 80%8 of 10 Pro 🔒
Rocky BushiriD 80%8 of 10 Pro 🔒
Dane ScarlettF 67%2 of 3 Pro 🔒
St. Mirren
Alexander GogićM 100%10 of 10 Pro 🔒
Dan N'LunduluF 70%7 of 10 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Mikael MandronF 70%7 of 10 Pro 🔒
Miguel FreckletonD 70%7 of 10 Pro 🔒
Roland IdowuM 60%6 of 10 Pro 🔒
Richard KingD 60%6 of 10 Pro 🔒

Hibernian
Dane ScarlettF 67%2 of 3 Pro 🔒
St. Mirren
Alexander GogićM 70%7 of 10 Pro 🔒

Hibernian
Jamie McGrathM 90%9 of 10 Pro 🔒
Rocky BushiriD 80%8 of 10 Pro 🔒
Martin BoyleF 70%7 of 10 Pro 🔒
Nicky CaddenD 60%6 of 10 Pro 🔒
Warren O'HoraD 60%6 of 10 Pro 🔒
St. Mirren
Mikael MandronF 80%8 of 10 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Marcus FraserD 70%7 of 10 Pro 🔒
Mark O'HaraM 60%6 of 10 Pro 🔒

Hibernian
No Hibernian player in this window.
St. Mirren
Killian PhillipsM 60%6 of 10 Pro 🔒

Hibernian
Jamie McGrathM 80%8 of 10 Pro 🔒
Warren O'HoraD 80%8 of 10 Pro 🔒
Jack IredaleD 70%7 of 10 Pro 🔒
Daniel BarlaserM 60%6 of 10 Pro 🔒
Kai AndrewsM 60%6 of 10 Pro 🔒
St. Mirren
Marcus FraserD 100%10 of 10 Pro 🔒
Killian PhillipsM 90%9 of 10 Pro 🔒
Richard KingD 90%9 of 10 Pro 🔒
Miguel FreckletonD 90%9 of 10 Pro 🔒
Alexander GogićM 80%8 of 10 Pro 🔒
Mark O'HaraM 60%6 of 10 Pro 🔒

Hibernian
Jamie McGrathM 60%6 of 10 Pro 🔒
Warren O'HoraD 60%6 of 10 Pro 🔒
St. Mirren
Miguel FreckletonD 90%9 of 10 Pro 🔒
Marcus FraserD 80%8 of 10 Pro 🔒

Hibernian
No Hibernian player in this window.
St. Mirren
Marcus FraserD 80%8 of 10 Pro 🔒
Miguel FreckletonD 60%6 of 10 Pro 🔒

Hibernian
Dane ScarlettF 67%2 of 3 Pro 🔒
St. Mirren
No St. Mirren player in this window.

Hibernian
Martin BoyleF 40%4 of 10 Stats only
St. Mirren
No St. Mirren player in this window.

Hibernian
Dane ScarlettF 33%1 of 3 Stats only
Josh CampbellM 30%3 of 10 Stats only
Nicky CaddenD 30%3 of 10 Stats only
St. Mirren
Declan JohnD 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
Daniel McFarlane refereed this match

3 matches on record — too few to quote a card rate against. See the 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.