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Player stats · 22/23

Hertha BSC v TSG Hoffenheim

Your slip follows you between games.

How often each Hertha BSC and TSG Hoffenheim 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 Hertha BSC v TSG Hoffenheim: Marco Richter (Hertha BSC) leads the home side for 1+ shots on target — 3 of 4 (75%); Georginio Rutter (TSG Hoffenheim) tops the visitors on 6 of 7 (86%). 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 25/26 figures from completed matches: Last N is their last N games; Season is their whole 25/26; H2H is only games against this opponent.

1+ shots

Hertha BSC
TSG Hoffenheim

2+ shots

Hertha BSC
TSG Hoffenheim

1+ shots on target

Hertha BSC
TSG Hoffenheim

1+ fouls committed

2+ fouls committed

TSG Hoffenheim

1+ fouls won

2+ fouls won

Hertha BSC
TSG Hoffenheim

1+ goals

Hertha BSC
Marco RichterF 50%2 of 4 Stats only
Suat SerdarM 33%2 of 6 Stats only
TSG Hoffenheim
Munas DabburF 33%2 of 6 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
Christian Dingert refereed this match 4.31cards/game 1.06×vs league 54games
Christian Dingert'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.