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Player stats 26/27

Preston North End v Bristol City

Your slip follows you between games.

How often each Preston North End and Bristol City 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 Preston North End v Bristol City: Scott Twine (Bristol City) 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.

Preston North End
Alfie DevineF 80%8 of 10 Pro 🔒
Callum LangF 80%8 of 10 Pro 🔒
Delano BurgzorgF 80%8 of 10 Pro 🔒
Harry ClarkeD 80%8 of 10 Pro 🔒
Liam LindsayD 70%7 of 10 Pro 🔒
Jusef ErabiF 67%2 of 3 Pro 🔒
Bristol City
Sam GreenwoodM 100%10 of 10 Pro 🔒
Lorent TolajF 100%3 of 3 Pro 🔒
Scott TwineM 70%7 of 10 Pro 🔒
Jed WallaceM 60%6 of 10 Pro 🔒

Preston North End
Jusef ErabiF 67%2 of 3 Pro 🔒
Alfie DevineF 60%6 of 10 Pro 🔒
Bristol City
Lorent TolajF 100%3 of 3 Pro 🔒
Sam GreenwoodM 70%7 of 10 Pro 🔒
Scott TwineM 60%6 of 10 Pro 🔒

Preston North End
No Preston North End player in this window.
Bristol City
Scott TwineM 60%6 of 10 Pro 🔒

Preston North End
No Preston North End player in this window.
Bristol City
Scott TwineM 60%6 of 10 Pro 🔒

Preston North End
Harry ClarkeD 80%8 of 10 Pro 🔒
Liam LindsayD 70%7 of 10 Pro 🔒
Callum LangF 70%7 of 10 Pro 🔒
Leo LeroyM 70%7 of 10 Pro 🔒
Andrew MoranM 60%6 of 10 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒
Jordan ThompsonM 60%6 of 10 Pro 🔒
Delano BurgzorgF 60%6 of 10 Pro 🔒
Bristol City
Lorent TolajF 100%3 of 3 Pro 🔒
Cameron PringD 80%8 of 10 Pro 🔒
Sam GreenwoodM 80%8 of 10 Pro 🔒
Noah EileD 70%7 of 10 Pro 🔒
Lisav Naif EissatD 67%2 of 3 Pro 🔒
Rob DickieD 60%6 of 10 Pro 🔒

Preston North End
Harry ClarkeD 60%6 of 10 Pro 🔒
Bristol City
Lorent TolajF 67%2 of 3 Pro 🔒

Preston North End
Callum LangF 90%9 of 10 Pro 🔒
Alfie DevineF 80%8 of 10 Pro 🔒
Delano BurgzorgF 70%7 of 10 Pro 🔒
Andrew MoranM 60%6 of 10 Pro 🔒
Stanley MillsM 60%6 of 10 Pro 🔒
Bristol City
Scott TwineM 80%8 of 10 Pro 🔒
Jason KnightM 80%8 of 10 Pro 🔒
Rob DickieD 70%7 of 10 Pro 🔒
Cameron PringD 70%7 of 10 Pro 🔒
Lorent TolajF 67%2 of 3 Pro 🔒
Yu HirakawaM 60%6 of 10 Pro 🔒
Adam RandellM 60%6 of 10 Pro 🔒
Sam GreenwoodM 60%6 of 10 Pro 🔒

Preston North End
Caleb WileyM 80%8 of 10 Pro 🔒
Stanley MillsM 80%8 of 10 Pro 🔒
Leo LeroyM 80%8 of 10 Pro 🔒
Harry ClarkeD 80%8 of 10 Pro 🔒
Andrew MoranM 70%7 of 10 Pro 🔒
Alfie DevineF 60%6 of 10 Pro 🔒
Callum LangF 60%6 of 10 Pro 🔒
Bristol City
Rio CardinesD 100%4 of 4 Pro 🔒
Cameron PringD 80%8 of 10 Pro 🔒
Jed WallaceM 70%7 of 10 Pro 🔒
Rob DickieD 70%7 of 10 Pro 🔒
Noah EileD 70%7 of 10 Pro 🔒
Lisav Naif EissatD 67%2 of 3 Pro 🔒
Joe WilliamsM 60%6 of 10 Pro 🔒
Scott TwineM 60%6 of 10 Pro 🔒
Jason KnightM 60%6 of 10 Pro 🔒

Preston North End
Jusef ErabiF 33%1 of 3 Stats only
Bristol City
Lorent TolajF 33%1 of 3 Stats only

Preston North End
Alfie DevineF 30%3 of 10 Stats only
Bristol City
Rio CardinesD 50%2 of 4 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
Rueben Ricardo refereed this match

2 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.