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Player stats 25/26

St. Mirren v Livingston

Your slip follows you between games.

How often each St. Mirren and Livingston 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 St. Mirren v Livingston: Stevie May (Livingston) tops the visitors for 1+ shots on target — 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.

St. Mirren
Mikael MandronF 80%8 of 10 Pro 🔒
Jonah AyungaF 80%8 of 10 Pro 🔒
Conor McMenaminF 70%7 of 10 Pro 🔒
Jake YoungF 67%6 of 9 Pro 🔒
Killian PhillipsM 60%6 of 10 Pro 🔒
Alexander GogićD 60%6 of 10 Pro 🔒
Miguel FreckletonD 60%6 of 10 Pro 🔒
Livingston
Stevie MayF 90%9 of 10 Pro 🔒
Robbie MuirheadF 90%9 of 10 Pro 🔒
Babacar FatiD 62%5 of 8 Pro 🔒
Lewis SmithF 60%6 of 10 Pro 🔒
Joel NoubleF 60%6 of 10 Pro 🔒

St. Mirren
No St. Mirren player in this window.
Livingston
Robbie MuirheadF 70%7 of 10 Pro 🔒

St. Mirren
No St. Mirren player in this window.
Livingston
Stevie MayF 60%6 of 10 Pro 🔒

St. Mirren
Alexander GogićD 90%9 of 10 Pro 🔒
Jacob DevaneyM 88%7 of 8 Pro 🔒
Killian PhillipsM 80%8 of 10 Pro 🔒
Allan CampbellM 70%7 of 10 Pro 🔒
Mikael MandronF 70%7 of 10 Pro 🔒
Jonah AyungaF 60%6 of 10 Pro 🔒
Miguel FreckletonD 60%6 of 10 Pro 🔒
Livingston
Cristian MontañoD 90%9 of 10 Pro 🔒
Ryan McGowanD 70%7 of 10 Pro 🔒
Brooklyn KabongoloD 60%6 of 10 Pro 🔒
Stevie MayF 60%6 of 10 Pro 🔒
Lewis SmithF 60%6 of 10 Pro 🔒

St. Mirren
Alexander GogićD 70%7 of 10 Pro 🔒
Jacob DevaneyM 62%5 of 8 Pro 🔒
Livingston
No Livingston player in this window.

St. Mirren
Jacob DevaneyM 88%7 of 8 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Miguel FreckletonD 70%7 of 10 Pro 🔒
Allan CampbellM 60%6 of 10 Pro 🔒
Mikael MandronF 60%6 of 10 Pro 🔒
Livingston
Joel NoubleF 90%9 of 10 Pro 🔒
Stevie MayF 80%8 of 10 Pro 🔒
Ryan McGowanD 80%8 of 10 Pro 🔒
Macaulay TaitM 70%7 of 10 Pro 🔒
Babacar FatiD 62%5 of 8 Pro 🔒
Scott PittmanF 60%6 of 10 Pro 🔒
Robbie MuirheadF 60%6 of 10 Pro 🔒
Lewis SmithF 60%6 of 10 Pro 🔒
Cammy KerrD 60%6 of 10 Pro 🔒
Danny FinlaysonD 60%6 of 10 Pro 🔒

St. Mirren
Jacob DevaneyM 62%5 of 8 Pro 🔒
Killian PhillipsM 60%6 of 10 Pro 🔒
Livingston
No Livingston player in this window.

St. Mirren
Miguel FreckletonD 100%10 of 10 Pro 🔒
Jacob DevaneyM 100%8 of 8 Pro 🔒
Alexander GogićD 90%9 of 10 Pro 🔒
Richard KingD 80%8 of 10 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Scott TanserD 70%7 of 10 Pro 🔒
Allan CampbellM 70%7 of 10 Pro 🔒
Declan JohnD 70%7 of 10 Pro 🔒
Conor McMenaminF 60%6 of 10 Pro 🔒
Livingston
Mohamad SyllaM 90%9 of 10 Pro 🔒
Danny FinlaysonD 90%9 of 10 Pro 🔒
Cristian MontañoD 80%8 of 10 Pro 🔒
Babacar FatiD 62%5 of 8 Pro 🔒
Brooklyn KabongoloD 60%6 of 10 Pro 🔒
Stevie MayF 60%6 of 10 Pro 🔒
Robbie MuirheadF 60%6 of 10 Pro 🔒
Lewis SmithF 60%6 of 10 Pro 🔒

St. Mirren
Miguel FreckletonD 80%8 of 10 Pro 🔒
Livingston
Mohamad SyllaM 70%7 of 10 Pro 🔒

St. Mirren
No St. Mirren player in this window.
Livingston
Lewis SmithF 40%4 of 10 Stats only

St. Mirren
Scott TanserD 40%4 of 10 Stats only
Livingston
Joel NoubleF 30%3 of 10 Stats only

St. Mirren
No St. Mirren player in this window.
Livingston
Jérôme PriorG 60%6 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.