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Sunderland v Norwich

Your slip follows you between games.

How often each Sunderland and Norwich 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 Sunderland v Norwich: Wilson Isidor (Sunderland) leads the home side for 1+ shots on target — 8 of 10 (80%); Borja Sainz (Norwich) tops the visitors on 7 of 10 (70%). 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.

Sunderland
Wilson IsidorF 100%10 of 10 Pro 🔒
Jobe BellinghamM 90%9 of 10 Pro 🔒
Patrick RobertsM 90%9 of 10 Pro 🔒
Chris RiggM 80%8 of 10 Pro 🔒
Adil AouchicheM 80%8 of 10 Pro 🔒
Eliezer MayendaM 70%7 of 10 Pro 🔒
Dennis CirkinD 60%6 of 10 Pro 🔒
Daniel BallardD 60%6 of 10 Pro 🔒
Dan NeilM 60%6 of 10 Pro 🔒
Norwich
Emiliano MarcondesM 90%9 of 10 Pro 🔒
Borja SainzF 90%9 of 10 Pro 🔒
Ante CrnacF 80%8 of 10 Pro 🔒
Marcelino NúñezM 70%7 of 10 Pro 🔒

Sunderland
Wilson IsidorF 90%9 of 10 Pro 🔒
Jobe BellinghamM 60%6 of 10 Pro 🔒
Norwich
Borja SainzF 70%7 of 10 Pro 🔒

Sunderland
Wilson IsidorF 80%8 of 10 Pro 🔒
Norwich
Borja SainzF 70%7 of 10 Pro 🔒
Ante CrnacF 60%6 of 10 Pro 🔒

Sunderland
No Sunderland player in this window.
Norwich
Borja SainzF 70%7 of 10 Pro 🔒

Sunderland
Jobe BellinghamM 90%9 of 10 Pro 🔒
Dennis CirkinD 70%7 of 10 Pro 🔒
Eliezer MayendaM 60%6 of 10 Pro 🔒
Patrick RobertsM 60%6 of 10 Pro 🔒
Wilson IsidorF 60%6 of 10 Pro 🔒
Aji AleseD 60%6 of 10 Pro 🔒
Daniel BallardD 60%6 of 10 Pro 🔒
Dan NeilM 60%6 of 10 Pro 🔒
Norwich
Borja SainzF 100%10 of 10 Pro 🔒
Emiliano MarcondesM 90%9 of 10 Pro 🔒
Anis Ben SlimaneM 80%8 of 10 Pro 🔒
Kellen FisherD 80%8 of 10 Pro 🔒
Marcelino NúñezM 60%6 of 10 Pro 🔒
Ante CrnacF 60%6 of 10 Pro 🔒
Ashley BarnesF 60%6 of 10 Pro 🔒

Sunderland
Dennis CirkinD 60%6 of 10 Pro 🔒
Norwich
No Norwich player in this window.

Sunderland
Jobe BellinghamM 80%8 of 10 Pro 🔒
Chris RiggM 80%8 of 10 Pro 🔒
Daniel BallardD 80%8 of 10 Pro 🔒
Dennis CirkinD 70%7 of 10 Pro 🔒
Patrick RobertsM 60%6 of 10 Pro 🔒
Luke O'NienD 60%6 of 10 Pro 🔒
Adil AouchicheM 60%6 of 10 Pro 🔒
Norwich
Borja SainzF 100%10 of 10 Pro 🔒
Emiliano MarcondesM 80%8 of 10 Pro 🔒

Sunderland
Chris RiggM 60%6 of 10 Pro 🔒
Norwich
No Norwich player in this window.

Sunderland
Jobe BellinghamM 90%9 of 10 Pro 🔒
Dennis CirkinD 80%8 of 10 Pro 🔒
Patrick RobertsM 80%8 of 10 Pro 🔒
Luke O'NienD 80%8 of 10 Pro 🔒
Chris MephamD 80%8 of 10 Pro 🔒
Dan NeilM 80%8 of 10 Pro 🔒
Trai HumeD 80%8 of 10 Pro 🔒
Aji AleseD 60%6 of 10 Pro 🔒
Norwich
Marcelino NúñezM 100%10 of 10 Pro 🔒
Emiliano MarcondesM 80%8 of 10 Pro 🔒
Anis Ben SlimaneM 70%7 of 10 Pro 🔒
Callum DoyleD 70%7 of 10 Pro 🔒
Kellen FisherD 70%7 of 10 Pro 🔒
Jack StaceyD 70%7 of 10 Pro 🔒
José CórdobaD 60%6 of 10 Pro 🔒
Shane DuffyD 60%6 of 10 Pro 🔒
Ben ChriseneD 60%6 of 10 Pro 🔒
Borja SainzF 60%6 of 10 Pro 🔒

Sunderland
Jobe BellinghamM 80%8 of 10 Pro 🔒
Dan NeilM 70%7 of 10 Pro 🔒
Trai HumeD 70%7 of 10 Pro 🔒
Norwich
Marcelino NúñezM 80%8 of 10 Pro 🔒
Emiliano MarcondesM 70%7 of 10 Pro 🔒

Sunderland
No Sunderland player in this window.
Norwich
Marcelino NúñezM 60%6 of 10 Pro 🔒

Sunderland
No Sunderland player in this window.
Norwich
Borja SainzF 60%6 of 10 Pro 🔒

Sunderland
No Sunderland player in this window.
Norwich
Borja SainzF 40%4 of 10 Stats only

Sunderland
No Sunderland player in this window.
Norwich
Jack StaceyD 30%3 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+13% cards vs the league average
Leigh Doughty refereed this match 4.54cards a gameleague 4.01 72games
Leigh Doughty'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.