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Player stats 25/26

Rangers v Livingston

Your slip follows you between games.

How often each Rangers 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 Rangers v Livingston: Danilo Pereira (Rangers) leads the home side for 1+ shots on target — 7 of 10 (70%); Robbie Muirhead (Livingston) tops the visitors on 6 of 8 (75%). 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.

Rangers
Djeidi GassamaF 90%9 of 10 Pro 🔒
Danilo PereiraF 90%9 of 10 Pro 🔒
Lyall CameronM 80%8 of 10 Pro 🔒
Thelo AasgaardM 70%7 of 10 Pro 🔒
James TavernierD 70%7 of 10 Pro 🔒
Nicolas RaskinM 70%7 of 10 Pro 🔒
Oliver AntmanF 62%5 of 8 Pro 🔒
Bojan MiovskiF 60%6 of 10 Pro 🔒
Livingston
Robbie MuirheadF 88%7 of 8 Pro 🔒
Stevie MayF 80%8 of 10 Pro 🔒
Mohamad SyllaD 60%6 of 10 Pro 🔒
Andrew ShinnieM 60%6 of 10 Pro 🔒
Tete YengiF 60%6 of 10 Pro 🔒
Jeremy BokilaF 60%6 of 10 Pro 🔒

Rangers
Djeidi GassamaF 70%7 of 10 Pro 🔒
Livingston
Robbie MuirheadF 75%6 of 8 Pro 🔒

Rangers
Danilo PereiraF 70%7 of 10 Pro 🔒
Oliver AntmanF 62%5 of 8 Pro 🔒
Livingston
Robbie MuirheadF 75%6 of 8 Pro 🔒

Rangers
Thelo AasgaardM 80%8 of 10 Pro 🔒
Nicolas RaskinM 80%8 of 10 Pro 🔒
Lyall CameronM 80%8 of 10 Pro 🔒
Mohammed DiomandeM 70%7 of 10 Pro 🔒
James TavernierD 70%7 of 10 Pro 🔒
Connor BarronM 70%7 of 10 Pro 🔒
Djeidi GassamaF 60%6 of 10 Pro 🔒
Bojan MiovskiF 60%6 of 10 Pro 🔒
Livingston
Mohamad SyllaD 100%10 of 10 Pro 🔒
Cristian MontañoD 100%10 of 10 Pro 🔒
Jeremy BokilaF 80%8 of 10 Pro 🔒
Stevie MayF 80%8 of 10 Pro 🔒
Scott PittmanM 80%8 of 10 Pro 🔒
Macaulay TaitM 80%8 of 10 Pro 🔒
Mahamadou SusohoM 75%6 of 8 Pro 🔒
Robbie MuirheadF 75%6 of 8 Pro 🔒
Danny FinlaysonD 70%7 of 10 Pro 🔒
Ryan McGowanD 60%6 of 10 Pro 🔒

Rangers
Nicolas RaskinM 60%6 of 10 Pro 🔒
Livingston
Cristian MontañoD 70%7 of 10 Pro 🔒

Rangers
Djeidi GassamaF 90%9 of 10 Pro 🔒
Nicolas RaskinM 80%8 of 10 Pro 🔒
Max AaronsD 70%7 of 10 Pro 🔒
Thelo AasgaardM 60%6 of 10 Pro 🔒
Nasser DjigaD 60%6 of 10 Pro 🔒
Livingston
Ryan McGowanD 80%8 of 10 Pro 🔒
Danny FinlaysonD 80%8 of 10 Pro 🔒
Mahamadou SusohoM 75%6 of 8 Pro 🔒
Jeremy BokilaF 70%7 of 10 Pro 🔒
Mohamad SyllaD 60%6 of 10 Pro 🔒
Scott PittmanM 60%6 of 10 Pro 🔒

Rangers
Djeidi GassamaF 60%6 of 10 Pro 🔒
Livingston
No Livingston player in this window.

Rangers
Connor BarronM 100%10 of 10 Pro 🔒
Nicolas RaskinM 90%9 of 10 Pro 🔒
Mohammed DiomandeM 80%8 of 10 Pro 🔒
Jayden MeghomaD 80%8 of 10 Pro 🔒
Thelo AasgaardM 70%7 of 10 Pro 🔒
James TavernierD 60%6 of 10 Pro 🔒
Lyall CameronM 60%6 of 10 Pro 🔒
Livingston
Danny FinlaysonD 100%10 of 10 Pro 🔒
Macaulay TaitM 90%9 of 10 Pro 🔒
Mohamad SyllaD 80%8 of 10 Pro 🔒
Cristian MontañoD 80%8 of 10 Pro 🔒
Danny WilsonD 80%8 of 10 Pro 🔒
Ryan McGowanD 80%8 of 10 Pro 🔒
Mahamadou SusohoM 62%5 of 8 Pro 🔒

Rangers
Nicolas RaskinM 70%7 of 10 Pro 🔒
Lyall CameronM 60%6 of 10 Pro 🔒
Livingston
Mohamad SyllaD 70%7 of 10 Pro 🔒
Cristian MontañoD 60%6 of 10 Pro 🔒

Rangers
No Rangers player in this window.
Livingston
Mohamad SyllaD 60%6 of 10 Pro 🔒

Rangers
James TavernierD 30%3 of 10 Stats only
Livingston
Jeremy BokilaF 40%4 of 10 Stats only

Rangers
Nicolas RaskinM 30%3 of 10 Stats only
Livingston
No Livingston player in this window.

🔒 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+17% cards vs the league average
Ross Hardie refereed this match 4.69cards a gameleague 4.02 29games
Ross Hardie'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.