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Player stats 25/26

Sheffield Wednesday v Ipswich

Your slip follows you between games.

How often each Sheffield Wednesday and Ipswich 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 Sheffield Wednesday v Ipswich: Jamal Lowe (Sheffield Wednesday) leads the home side for 1+ shots on target — 6 of 10 (60%); Ivan Azón (Ipswich) tops the visitors on 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.

Sheffield Wednesday
Jamal LoweM 80%8 of 10 Pro 🔒
Ipswich
Ivan AzónF 90%9 of 10 Pro 🔒
Sindre Walle EgeliM 90%9 of 10 Pro 🔒
Jack ClarkeM 90%9 of 10 Pro 🔒
George HirstF 70%7 of 10 Pro 🔒
Jack TaylorM 70%7 of 10 Pro 🔒
Dara O'SheaD 70%7 of 10 Pro 🔒
Anis MehmetiM 60%6 of 10 Pro 🔒

Sheffield Wednesday
No Sheffield Wednesday player in this window.
Ipswich
Ivan AzónF 70%7 of 10 Pro 🔒
George HirstF 60%6 of 10 Pro 🔒

Sheffield Wednesday
Jamal LoweM 60%6 of 10 Pro 🔒
Ipswich
Ivan AzónF 60%6 of 10 Pro 🔒
George HirstF 60%6 of 10 Pro 🔒

Sheffield Wednesday
Svante IngelssonM 90%9 of 10 Pro 🔒
Liam PalmerD 80%8 of 10 Pro 🔒
Jaden HeskeyF 80%8 of 10 Pro 🔒
Gabriel OtegbayoD 80%8 of 10 Pro 🔒
Marvelous NakambaM 80%8 of 10 Pro 🔒
Jamal LoweM 70%7 of 10 Pro 🔒
Ipswich
Anis MehmetiM 90%9 of 10 Pro 🔒
Azor MatusiwaM 80%8 of 10 Pro 🔒
Dara O'SheaD 70%7 of 10 Pro 🔒
Jack ClarkeM 70%7 of 10 Pro 🔒
Wes BurnsF 60%6 of 10 Pro 🔒
Darnell FurlongD 60%6 of 10 Pro 🔒
Jack TaylorM 60%6 of 10 Pro 🔒

Sheffield Wednesday
Svante IngelssonM 90%9 of 10 Pro 🔒
Ipswich
No Ipswich player in this window.

Sheffield Wednesday
Gabriel OtegbayoD 80%8 of 10 Pro 🔒
Svante IngelssonM 80%8 of 10 Pro 🔒
Tayo AdaramolaD 71%5 of 7 Pro 🔒
Joel NdalaF 70%7 of 10 Pro 🔒
Jaden HeskeyF 70%7 of 10 Pro 🔒
Ipswich
Jack ClarkeM 90%9 of 10 Pro 🔒
Ivan AzónF 70%7 of 10 Pro 🔒
Wes BurnsF 70%7 of 10 Pro 🔒
Dara O'SheaD 70%7 of 10 Pro 🔒
Anis MehmetiM 60%6 of 10 Pro 🔒
Darnell FurlongD 60%6 of 10 Pro 🔒
Azor MatusiwaM 60%6 of 10 Pro 🔒
Jacob GreavesD 60%6 of 10 Pro 🔒

Sheffield Wednesday
No Sheffield Wednesday player in this window.
Ipswich
Jack ClarkeM 70%7 of 10 Pro 🔒

Sheffield Wednesday
Sean FusireD 100%10 of 10 Pro 🔒
Marvelous NakambaM 100%10 of 10 Pro 🔒
Tayo AdaramolaD 100%7 of 7 Pro 🔒
Jaden HeskeyF 90%9 of 10 Pro 🔒
Dominic IorfaD 80%8 of 10 Pro 🔒
Liam PalmerD 70%7 of 10 Pro 🔒
Svante IngelssonM 70%7 of 10 Pro 🔒
Gabriel OtegbayoD 60%6 of 10 Pro 🔒
Ipswich
Azor MatusiwaM 90%9 of 10 Pro 🔒
Anis MehmetiM 70%7 of 10 Pro 🔒
Jack ClarkeM 70%7 of 10 Pro 🔒
Jacob GreavesD 70%7 of 10 Pro 🔒
Sindre Walle EgeliM 60%6 of 10 Pro 🔒
Wes BurnsF 60%6 of 10 Pro 🔒

Sheffield Wednesday
Tayo AdaramolaD 86%6 of 7 Pro 🔒
Sean FusireD 60%6 of 10 Pro 🔒
Ipswich
Azor MatusiwaM 70%7 of 10 Pro 🔒
Anis MehmetiM 60%6 of 10 Pro 🔒

Sheffield Wednesday
Tayo AdaramolaD 71%5 of 7 Pro 🔒
Ipswich
No Ipswich player in this window.

Sheffield Wednesday
Jerry YatesF 30%3 of 10 Stats only
Ipswich
Jaden Philogene-BidaceF 30%3 of 10 Stats only
George HirstF 30%3 of 10 Stats only
Jack ClarkeM 30%3 of 10 Stats only

Sheffield Wednesday
Pierce CharlesG 70%7 of 10 Stats only
Ipswich
Christian WaltonG 60%6 of 10 Stats only

Sheffield Wednesday
Pierce CharlesG 60%6 of 10 Stats only
Ipswich
No Ipswich 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
Tom Reeves refereed this match

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.