Reading v Blackpool
How often each Reading and Blackpool 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 Reading v Blackpool: Josh Bowler (Blackpool) tops the visitors for 1+ shots on target — 6 of 10 (60%). Raw hit rates from recent matches, not odds.
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.
🔒 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.
12 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.
Copies a ready-to-paste message with your link — the slip rebuilds itself when opened. Post the image alongside for the visual.