Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 26/27

Norwich v Charlton Athletic

Your slip follows you between games.

How often each Norwich and Charlton Athletic 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 Norwich v Charlton Athletic on Tue 29 Dec: Mohamed Touré (Norwich) leads the home side for 1+ shots on target — 8 of 10 (80%); Charlie Kelman (Charlton Athletic) tops the visitors on 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.

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.

Norwich
Andre BrooksF 100%10 of 10 Pro 🔒
Mohamed TouréF 90%9 of 10 Pro 🔒
Ali AhmedM 90%9 of 10 Pro 🔒
Paris MaghomaM 90%9 of 10 Pro 🔒
Anthony MusabaF 90%9 of 10 Pro 🔒
Ruairi McConvilleD 80%8 of 10 Pro 🔒
Oscar SchwartauM 80%8 of 10 Pro 🔒
Anis Ben SlimaneM 70%7 of 10 Pro 🔒
Jovon MakamaF 70%7 of 10 Pro 🔒
Kenny McLeanM 70%7 of 10 Pro 🔒
Ante CrnacF 60%6 of 10 Pro 🔒
Kellen FisherD 60%6 of 10 Pro 🔒
Jacob WrightM 60%6 of 10 Pro 🔒
Papa Amadou DialloM 60%6 of 10 Pro 🔒
Harry DarlingD 60%6 of 10 Pro 🔒
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 🔒

Norwich
Andre BrooksF 80%8 of 10 Pro 🔒
Mohamed TouréF 60%6 of 10 Pro 🔒
Anthony MusabaF 60%6 of 10 Pro 🔒
Charlton Athletic
No Charlton Athletic player in this window.

Norwich
Mohamed TouréF 80%8 of 10 Pro 🔒
Andre BrooksF 60%6 of 10 Pro 🔒
Anthony MusabaF 60%6 of 10 Pro 🔒
Charlton Athletic
Charlie KelmanF 60%6 of 10 Pro 🔒

Norwich
Jack StaceyD 80%8 of 10 Pro 🔒
José CórdobaD 70%7 of 10 Pro 🔒
Jovon MakamaF 70%7 of 10 Pro 🔒
Kellen FisherD 70%7 of 10 Pro 🔒
Pelle MattssonM 70%7 of 10 Pro 🔒
Andre BrooksF 60%6 of 10 Pro 🔒
Kenny McLeanM 60%6 of 10 Pro 🔒
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 🔒
Kayne RamsayD 80%8 of 10 Pro 🔒
Nathaniel ChalobahM 80%8 of 10 Pro 🔒
Collins SichenjeD 75%6 of 8 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 🔒

Norwich
Pelle MattssonM 70%7 of 10 Pro 🔒
Charlton Athletic
Conor CoventryM 60%6 of 10 Pro 🔒

Norwich
Ben ChriseneD 90%9 of 10 Pro 🔒
Kellen FisherD 80%8 of 10 Pro 🔒
Ali AhmedM 80%8 of 10 Pro 🔒
Pelle MattssonM 80%8 of 10 Pro 🔒
Jovon MakamaF 70%7 of 10 Pro 🔒
Kenny McLeanM 70%7 of 10 Pro 🔒
Darlin YongwaD 70%7 of 10 Pro 🔒
Andre BrooksF 60%6 of 10 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 🔒

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

Norwich
Ben ChriseneD 90%9 of 10 Pro 🔒
Darlin YongwaD 90%9 of 10 Pro 🔒
Kellen FisherD 80%8 of 10 Pro 🔒
Jack StaceyD 80%8 of 10 Pro 🔒
Pelle MattssonM 80%8 of 10 Pro 🔒
Oscar SchwartauM 70%7 of 10 Pro 🔒
Kenny McLeanM 70%7 of 10 Pro 🔒
Mirko TopićM 70%7 of 10 Pro 🔒
Ante CrnacF 60%6 of 10 Pro 🔒
José CórdobaD 60%6 of 10 Pro 🔒
Andre BrooksF 60%6 of 10 Pro 🔒
Ali AhmedM 60%6 of 10 Pro 🔒
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 🔒
Collins SichenjeD 75%6 of 8 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 🔒

Norwich
Ben ChriseneD 70%7 of 10 Pro 🔒
Darlin YongwaD 70%7 of 10 Pro 🔒
Kenny McLeanM 60%6 of 10 Pro 🔒
Pelle MattssonM 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 🔒

Norwich
Mohamed TouréF 60%6 of 10 Stats only
Jovon MakamaF 30%3 of 10 Stats only
Charlton Athletic
Tyreece CampbellF 40%4 of 10 Stats only
Charlie KelmanF 30%3 of 10 Stats only

Norwich
Paris MaghomaM 40%4 of 10 Stats only
Charlton Athletic
No Charlton Athletic player in this window.

Norwich
Daniel GrimshawG 60%6 of 10 Stats only
Charlton Athletic
Arthur OkonkwoG 70%7 of 10 Stats only
William MannionG 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

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

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.