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Player stats 26/27

Charlton Athletic v Bristol City

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How often each Charlton Athletic 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 Charlton Athletic v Bristol City on Sat 10 Oct: Charlie Kelman (Charlton Athletic) leads the home side for 1+ shots on target — 6 of 10 (60%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match. These players joined recently, and the games behind these rates were played elsewhere: Brad Collins (Coventry City), Brian De Keersmaecker (Oxford United) — read as prior form, not this club's.

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.

Charlton Athletic
Tyreece CampbellF 90%9 of 10 Pro 🔒
Miles LeaburnF 70%7 of 10 Pro 🔒
Karlan GrantM 70%7 of 10 Pro 🔒
Matt GoddenF 70%7 of 10 Pro 🔒
Millenic AlliF 60%6 of 10 Pro 🔒
Charlie KelmanF 60%6 of 10 Pro 🔒
Bristol City
Lorent TolajF 100%8 of 8 Pro 🔒
Sam GreenwoodF 90%9 of 10 Pro 🔒
Scott TwineM 80%8 of 10 Pro 🔒
Dominic BallardF 70%7 of 10 Pro 🔒
Rob DickieD 70%7 of 10 Pro 🔒
Brian De KeersmaeckerMform earned at Oxford United 70%7 of 10 Pro 🔒
Luke McNallyD 70%7 of 10 Pro 🔒
Tomi HorvatM 60%6 of 10 Pro 🔒
Jason KnightM 60%6 of 10 Pro 🔒
Gibson YahM 60%3 of 5 Pro 🔒

Charlton Athletic
No Charlton Athletic player in this window.
Bristol City
Lorent TolajF 100%8 of 8 Pro 🔒
Scott TwineM 60%6 of 10 Pro 🔒

Charlton Athletic
No Charlton Athletic player in this window.
Bristol City
Lorent TolajF 62%5 of 8 Pro 🔒

Charlton Athletic
Charlie KelmanF 60%6 of 10 Pro 🔒
Bristol City
No Bristol City player in this window.

Charlton Athletic
Conor CoventryM 100%10 of 10 Pro 🔒
Miles LeaburnF 80%8 of 10 Pro 🔒
Reece BurkeD 80%8 of 10 Pro 🔒
Harvey KnibbsF 80%8 of 10 Pro 🔒
Nathaniel ChalobahM 80%8 of 10 Pro 🔒
Millenic AlliF 70%7 of 10 Pro 🔒
Matt GoddenF 70%7 of 10 Pro 🔒
Oliver SkippM 70%7 of 10 Pro 🔒
Joe Rankin-CostelloM 70%7 of 10 Pro 🔒
Timothy OumaM 67%2 of 3 Pro 🔒
Josh EdwardsD 62%5 of 8 Pro 🔒
Tyreece CampbellF 60%6 of 10 Pro 🔒
Bristol City
Lorent TolajF 100%8 of 8 Pro 🔒
Yu HirakawaF 70%7 of 10 Pro 🔒
Rob DickieD 70%7 of 10 Pro 🔒
Jason KnightM 70%7 of 10 Pro 🔒
Brian De KeersmaeckerMform earned at Oxford United 70%7 of 10 Pro 🔒
Luke McNallyD 70%7 of 10 Pro 🔒
Cameron PringD 60%6 of 10 Pro 🔒
Noah EileD 60%6 of 10 Pro 🔒
Sam GreenwoodF 60%6 of 10 Pro 🔒

Charlton Athletic
Conor CoventryM 60%6 of 10 Pro 🔒
Bristol City
Lorent TolajF 62%5 of 8 Pro 🔒

Charlton Athletic
Amari'i BellD 90%9 of 10 Pro 🔒
Josh EdwardsD 75%6 of 8 Pro 🔒
Ivan MesíkD 71%5 of 7 Pro 🔒
Nathaniel ChalobahM 70%7 of 10 Pro 🔒
Tyreece CampbellF 60%6 of 10 Pro 🔒
Karlan GrantM 60%6 of 10 Pro 🔒
Oliver SkippM 60%6 of 10 Pro 🔒
Bristol City
Scott TwineM 80%8 of 10 Pro 🔒
Lorent TolajF 75%6 of 8 Pro 🔒
Robert AtkinsonD 70%7 of 10 Pro 🔒
Adam RandellM 70%7 of 10 Pro 🔒
Cameron PringD 60%6 of 10 Pro 🔒
Sam GreenwoodF 60%6 of 10 Pro 🔒
Brian De KeersmaeckerMform earned at Oxford United 60%6 of 10 Pro 🔒

Charlton Athletic
Josh EdwardsD 62%5 of 8 Pro 🔒
Amari'i BellD 60%6 of 10 Pro 🔒
Bristol City
No Bristol City player in this window.

Charlton Athletic
Oliver SkippM 100%10 of 10 Pro 🔒
Conor CoventryM 100%10 of 10 Pro 🔒
Ivan MesíkD 100%7 of 7 Pro 🔒
Amari'i BellD 80%8 of 10 Pro 🔒
Miles LeaburnF 70%7 of 10 Pro 🔒
Nathaniel ChalobahM 70%7 of 10 Pro 🔒
Josh EdwardsD 62%5 of 8 Pro 🔒
Millenic AlliF 60%6 of 10 Pro 🔒
Tyler BindonD 60%6 of 10 Pro 🔒
Harvey KnibbsF 60%6 of 10 Pro 🔒
Bristol City
Brian De KeersmaeckerMform earned at Oxford United 100%10 of 10 Pro 🔒
George TannerD 80%8 of 10 Pro 🔒
Rio CardinesD 78%7 of 9 Pro 🔒
Joe WilliamsM 70%7 of 10 Pro 🔒
Rob DickieD 70%7 of 10 Pro 🔒
Jason KnightM 70%7 of 10 Pro 🔒
Noah EileD 70%7 of 10 Pro 🔒
Luke McNallyD 70%7 of 10 Pro 🔒
Yu HirakawaF 60%6 of 10 Pro 🔒
Scott TwineM 60%6 of 10 Pro 🔒
Tomi HorvatM 60%6 of 10 Pro 🔒
Cameron PringD 60%6 of 10 Pro 🔒

Charlton Athletic
Amari'i BellD 60%6 of 10 Pro 🔒
Oliver SkippM 60%6 of 10 Pro 🔒
Conor CoventryM 60%6 of 10 Pro 🔒
Bristol City
Luke McNallyD 60%6 of 10 Pro 🔒

Charlton Athletic
Tyreece CampbellF 40%4 of 10 Stats only
Charlie KelmanF 30%3 of 10 Stats only
Bristol City
Sam BellF 30%3 of 10 Stats only
Dominic BallardF 30%3 of 10 Stats only

Charlton Athletic
No Charlton Athletic player in this window.
Bristol City
Rio CardinesD 67%6 of 9 Stats only

Charlton Athletic
Arthur OkonkwoG 70%7 of 10 Stats only
Bristol City
Brad CollinsGform earned at Coventry City 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.

Match officials
Tom Reeves takes charge

10 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.