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Player stats 23/24

St. Johnstone v Livingston

Your slip follows you between games.

How often each St. Johnstone 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. Johnstone v Livingston: Adama Sidibeh (St. Johnstone) leads the home side for 1+ shots — 5 of 5 (100%); Tete Yengi (Livingston) tops the visitors on 5 of 7 (71%). 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. Johnstone
Adama SidibehF 100%5 of 5 Pro 🔒
Nicky ClarkM 60%6 of 10 Pro 🔒
Livingston
Tete YengiF 71%5 of 7 Pro 🔒
Ayo ObileyeD 70%7 of 10 Pro 🔒
Kurtis GuthrieF 70%7 of 10 Pro 🔒
Daniel MacKayF 60%6 of 10 Pro 🔒

St. Johnstone
Adama SidibehF 80%4 of 5 Pro 🔒
Livingston
No Livingston player in this window.

St. Johnstone
Adama SidibehF 60%3 of 5 Pro 🔒
Livingston
No Livingston player in this window.

St. Johnstone
Daniel PhillipsM 100%10 of 10 Pro 🔒
Liam GordonD 80%8 of 10 Pro 🔒
David KeltjensD 67%4 of 6 Pro 🔒
Luke RobinsonD 60%6 of 10 Pro 🔒
Ryan McGowanD 60%6 of 10 Pro 🔒
Adama SidibehF 60%3 of 5 Pro 🔒
Livingston
Tete YengiF 100%7 of 7 Pro 🔒
Jason HoltM 80%8 of 10 Pro 🔒
Michael DevlinD 70%7 of 10 Pro 🔒
Mohammed SangareM 60%6 of 10 Pro 🔒
Kurtis GuthrieF 60%6 of 10 Pro 🔒
Michael NottinghamD 60%6 of 10 Pro 🔒
David CarsonM 60%3 of 5 Pro 🔒

St. Johnstone
Daniel PhillipsM 80%8 of 10 Pro 🔒
Livingston
No Livingston player in this window.

St. Johnstone
Daniel PhillipsM 60%6 of 10 Pro 🔒
Livingston
No Livingston player in this window.

St. Johnstone
Daniel PhillipsM 70%7 of 10 Pro 🔒
Graham CareyM 70%7 of 10 Pro 🔒
Matt SmithF 60%6 of 10 Pro 🔒
Adama SidibehF 60%3 of 5 Pro 🔒
Livingston
Daniel MacKayF 90%9 of 10 Pro 🔒
Jason HoltM 90%9 of 10 Pro 🔒
Kurtis GuthrieF 80%8 of 10 Pro 🔒
Cristian MontañoF 60%6 of 10 Pro 🔒
David CarsonM 60%3 of 5 Pro 🔒

St. Johnstone
Daniel PhillipsM 100%10 of 10 Pro 🔒
David KeltjensD 100%6 of 6 Pro 🔒
Luke RobinsonD 90%9 of 10 Pro 🔒
Liam GordonD 80%8 of 10 Pro 🔒
Ryan McGowanD 70%7 of 10 Pro 🔒
Graham CareyM 60%6 of 10 Pro 🔒
Matt SmithF 60%6 of 10 Pro 🔒
Sven SpranglerM 60%6 of 10 Pro 🔒
Livingston
Jamie BrandonD 90%9 of 10 Pro 🔒
Jason HoltM 80%8 of 10 Pro 🔒
David CarsonM 80%4 of 5 Pro 🔒
Andrew ShinnieM 60%6 of 10 Pro 🔒
Daniel MacKayF 60%6 of 10 Pro 🔒
Sean KellyD 60%6 of 10 Pro 🔒
Joel NoubleF 60%6 of 10 Pro 🔒

St. Johnstone
David KeltjensD 100%6 of 6 Pro 🔒
Daniel PhillipsM 90%9 of 10 Pro 🔒
Luke RobinsonD 70%7 of 10 Pro 🔒
Livingston
Jason HoltM 60%6 of 10 Pro 🔒
David CarsonM 60%3 of 5 Pro 🔒

St. Johnstone
David KeltjensD 100%6 of 6 Pro 🔒
Daniel PhillipsM 70%7 of 10 Pro 🔒
Livingston
No Livingston player in this window.

St. Johnstone
Nicky ClarkM 30%3 of 10 Stats only
Livingston
Tete YengiF 43%3 of 7 Stats only

St. Johnstone
Graham CareyM 30%3 of 10 Stats only
Livingston
No Livingston player in this window.

St. Johnstone
Dimitar MitovG 80%8 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+21% cards vs the league average
Graham, Chris refereed this match 4.85cards a gameleague 4.02 39games
Graham, Chris'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.