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St. Mirren v Ross County

Your slip follows you between games.

How often each St. Mirren and Ross County 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 Ross County: Toyosi Olusanya (St. Mirren) leads the home side for 1+ shots on target — 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.

St. Mirren
Mikael MandronF 90%9 of 10 Pro 🔒
Toyosi OlusanyaF 90%9 of 10 Pro 🔒
Conor McMenaminF 80%8 of 10 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Mark O'HaraM 70%7 of 10 Pro 🔒
Caolan Boyd-MunceM 60%6 of 10 Pro 🔒
Declan JohnD 60%6 of 10 Pro 🔒
Jonah AyungaF 60%6 of 10 Pro 🔒
Ross County
Ronan HaleF 70%7 of 10 Pro 🔒

St. Mirren
Mikael MandronF 60%6 of 10 Pro 🔒
Toyosi OlusanyaF 60%6 of 10 Pro 🔒
Ross County
No Ross County player in this window.

St. Mirren
Toyosi OlusanyaF 70%7 of 10 Pro 🔒
Killian PhillipsM 60%6 of 10 Pro 🔒
Mikael MandronF 60%6 of 10 Pro 🔒
Mark O'HaraM 60%6 of 10 Pro 🔒
Ross County
No Ross County player in this window.

St. Mirren
Mikael MandronF 90%9 of 10 Pro 🔒
Alex IacovittiD 90%9 of 10 Pro 🔒
Toyosi OlusanyaF 80%8 of 10 Pro 🔒
Killian PhillipsM 70%7 of 10 Pro 🔒
Jonah AyungaF 70%7 of 10 Pro 🔒
Richard TaylorD 70%7 of 10 Pro 🔒
Caolan Boyd-MunceM 60%6 of 10 Pro 🔒
Ryan AlebiosuD 60%6 of 10 Pro 🔒
Roland IdowuM 60%6 of 10 Pro 🔒
Alexander GogićD 60%6 of 10 Pro 🔒
Mark O'HaraM 60%6 of 10 Pro 🔒
Ross County
Jordan WhiteF 80%8 of 10 Pro 🔒
Connor RandallM 70%7 of 10 Pro 🔒
James BrownD 70%7 of 10 Pro 🔒
Nohan KennehM 70%7 of 10 Pro 🔒
Kieran PhillipsF 70%7 of 10 Pro 🔒
Alex SamuelF 60%6 of 10 Pro 🔒
Ronan HaleF 60%6 of 10 Pro 🔒
Zachary AshworthD 60%3 of 5 Pro 🔒

St. Mirren
Toyosi OlusanyaF 60%6 of 10 Pro 🔒
Ross County
No Ross County player in this window.

St. Mirren
Mark O'HaraM 90%9 of 10 Pro 🔒
Toyosi OlusanyaF 70%7 of 10 Pro 🔒
Killian PhillipsM 60%6 of 10 Pro 🔒
Ross County
Akil WrightD 80%8 of 10 Pro 🔒
Scott AllardiceM 80%8 of 10 Pro 🔒
Jordan WhiteF 70%7 of 10 Pro 🔒
Kacper ŁopataD 70%7 of 10 Pro 🔒
Alex SamuelF 60%6 of 10 Pro 🔒

St. Mirren
Caolan Boyd-MunceM 100%10 of 10 Pro 🔒
Mark O'HaraM 100%10 of 10 Pro 🔒
Killian PhillipsM 80%8 of 10 Pro 🔒
Ryan AlebiosuD 80%8 of 10 Pro 🔒
Alexander GogićD 70%7 of 10 Pro 🔒
Marcus FraserD 60%6 of 10 Pro 🔒
Declan JohnD 60%6 of 10 Pro 🔒
Richard TaylorD 60%6 of 10 Pro 🔒
Ross County
Connor RandallM 90%9 of 10 Pro 🔒
Nohan KennehM 90%9 of 10 Pro 🔒
Kacper ŁopataD 90%9 of 10 Pro 🔒
Elijah CampbellD 90%9 of 10 Pro 🔒
Akil WrightD 80%8 of 10 Pro 🔒
Scott AllardiceM 80%8 of 10 Pro 🔒
Zachary AshworthD 80%4 of 5 Pro 🔒

St. Mirren
Caolan Boyd-MunceM 60%6 of 10 Pro 🔒
Mark O'HaraM 60%6 of 10 Pro 🔒
Ross County
Connor RandallM 80%8 of 10 Pro 🔒
Akil WrightD 70%7 of 10 Pro 🔒
Elijah CampbellD 70%7 of 10 Pro 🔒

St. Mirren
No St. Mirren player in this window.
Ross County
Connor RandallM 60%6 of 10 Pro 🔒
Akil WrightD 60%6 of 10 Pro 🔒

St. Mirren
Mikael MandronF 30%3 of 10 Stats only
Ross County
No Ross County player in this window.

St. Mirren
Zac HemmingG 60%6 of 10 Stats only
Ross County
Jordan AmissahG 70%7 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-14% cards vs the league average
Scott, Calum refereed this match 3.45cards a gameleague 4.02 29games
Scott, Calum'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.