Updated daily through the season. Spot something off? Tell usUpdated daily. Tell us
SharpXI©
Player stats 23/24

Darmstadt 98 v SV Werder Bremen

Your slip follows you between games.

How often each Darmstadt 98 and SV Werder Bremen 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 Darmstadt 98 v SV Werder Bremen: Mathias Honsak (Darmstadt 98) leads the home side for 1+ shots on target — 2 of 3 (67%); Marvin Ducksch (SV Werder Bremen) tops the visitors on 8 of 10 (80%). 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.

Darmstadt 98
Matej MaglicaD 75%3 of 4 Pro 🔒
Mathias HonsakM 67%2 of 3 Pro 🔒
SV Werder Bremen
Marvin DuckschF 100%10 of 10 Pro 🔒
Romano SchmidM 90%9 of 10 Pro 🔒
Jens StageM 90%9 of 10 Pro 🔒
Justin NjinmahF 75%3 of 4 Pro 🔒
Mitchell WeiserM 70%7 of 10 Pro 🔒
Naby KeïtaM 67%6 of 9 Pro 🔒

Darmstadt 98
No Darmstadt 98 player in this window.
SV Werder Bremen
Marvin DuckschF 70%7 of 10 Pro 🔒

Darmstadt 98
Mathias HonsakM 67%2 of 3 Pro 🔒
SV Werder Bremen
Marvin DuckschF 80%8 of 10 Pro 🔒
Justin NjinmahF 75%3 of 4 Pro 🔒

Darmstadt 98
Fabian HollandM 100%5 of 5 Pro 🔒
Marvin MehlemM 80%4 of 5 Pro 🔒
Christoph KlarerD 80%4 of 5 Pro 🔒
Matej MaglicaD 75%3 of 4 Pro 🔒
Luca PfeifferF 70%7 of 10 Pro 🔒
SV Werder Bremen
Romano SchmidM 90%9 of 10 Pro 🔒
Mitchell WeiserM 80%8 of 10 Pro 🔒
Miloš VeljkovićD 80%8 of 10 Pro 🔒
Christian GroßD 80%8 of 10 Pro 🔒
Jens StageM 80%8 of 10 Pro 🔒
Senne LynenM 75%3 of 4 Pro 🔒
Rafael BorréF 70%7 of 10 Pro 🔒
Naby KeïtaM 67%6 of 9 Pro 🔒
Nick WoltemadeF 67%2 of 3 Pro 🔒

Darmstadt 98
Fabian HollandM 60%3 of 5 Pro 🔒
SV Werder Bremen
Jens StageM 70%7 of 10 Pro 🔒

Darmstadt 98
Marvin MehlemM 80%4 of 5 Pro 🔒
Matthias BaderM 75%3 of 4 Pro 🔒
Fabian HollandM 60%3 of 5 Pro 🔒
Christoph KlarerD 60%3 of 5 Pro 🔒
SV Werder Bremen
Mitchell WeiserM 80%8 of 10 Pro 🔒
Jens StageM 80%8 of 10 Pro 🔒
Dawid KownackiF 75%3 of 4 Pro 🔒
Senne LynenM 75%3 of 4 Pro 🔒
Romano SchmidM 70%7 of 10 Pro 🔒
Nick WoltemadeF 67%2 of 3 Pro 🔒

Darmstadt 98
Marvin MehlemM 80%4 of 5 Pro 🔒
SV Werder Bremen
Nick WoltemadeF 67%2 of 3 Pro 🔒
Mitchell WeiserM 60%6 of 10 Pro 🔒

Darmstadt 98
Fabian HollandM 100%5 of 5 Pro 🔒
Tim SkarkeF 80%8 of 10 Pro 🔒
Marvin MehlemM 80%4 of 5 Pro 🔒
Christoph KlarerD 80%4 of 5 Pro 🔒
Matthias BaderM 75%3 of 4 Pro 🔒
SV Werder Bremen
Mitchell WeiserM 100%10 of 10 Pro 🔒
Nick WoltemadeF 100%3 of 3 Pro 🔒
Miloš VeljkovićD 90%9 of 10 Pro 🔒
Senne LynenM 75%3 of 4 Pro 🔒
Christian GroßD 70%7 of 10 Pro 🔒
Jens StageM 70%7 of 10 Pro 🔒
Amos PieperD 70%7 of 10 Pro 🔒
Rafael BorréF 60%6 of 10 Pro 🔒

Darmstadt 98
Fabian HollandM 60%3 of 5 Pro 🔒
Marvin MehlemM 60%3 of 5 Pro 🔒
SV Werder Bremen
Nick WoltemadeF 100%3 of 3 Pro 🔒
Mitchell WeiserM 80%8 of 10 Pro 🔒
Christian GroßD 60%6 of 10 Pro 🔒

Darmstadt 98
Marvin MehlemM 60%3 of 5 Pro 🔒
SV Werder Bremen
No SV Werder Bremen player in this window.

Darmstadt 98
Marvin MehlemM 40%2 of 5 Stats only
SV Werder Bremen
Justin NjinmahF 50%2 of 4 Stats only
Marvin DuckschF 30%3 of 10 Stats only

Darmstadt 98
Christoph KlarerD 40%2 of 5 Stats only
SV Werder Bremen
No SV Werder Bremen player in this window.

Darmstadt 98
Marcel SchuhenG 60%3 of 5 Stats only
SV Werder Bremen
Jiří PavlenkaG 80%8 of 10 Stats only

Darmstadt 98
Marcel SchuhenG 60%3 of 5 Stats only
SV Werder Bremen
No SV Werder Bremen player in this window.

Darmstadt 98
Marcel SchuhenG 60%3 of 5 Stats only
SV Werder Bremen
No SV Werder Bremen 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+13% cards vs the league average
Martin Petersen refereed this match 4.60cards a gameleague 4.07 43games
Martin Petersen'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.