No model probabilities for this match yet.
Predictions are generated as match data becomes available — check another date or come back later.
Why — recent form
"—" means the number is not available in our data; we never fill gaps with zeros. Recent form covers only matches with expected-goals data, which may be fewer than the team's actual recent fixtures.
| Metric | Hamburger SV | Borussia M.Gladbach |
|---|---|---|
| Recent xG (attack, per-match avg) | 0.91 | 1.36 |
| Recent xGA (defence, per-match avg) | 1.96 | 1.92 |
| Sample size (matches with xG data) | 5 | 5 |
| Rest days since last match | 5 | 6 |
| Season pressing (PPDA, lower = more intense) | 16.5 | 12.5 |
| Matches in the last 7 days | 2 | 1 |
| Matches in the next 7 days | 0 | 0 |
| Travel to this match (km) | 401 | 359 |
Injuries & suspensions
Latest pre-match snapshot from our data source; availability varies by league.
Hamburger SV
- injured Bilal Nadir return: About a week
- injured Fábio Vieira return: Mid November 2026
- injured Nicolai Remberg return: Late June 2027
- injured Patson Daka return: doubtful
Borussia M.Gladbach
- injured Enzo Leopold return: Late May 2027
- injured Franck Honorat return: About 1-2 weeks
- injured Fritz Fleck return: About 1-2 weeks
- injured Isac Lidberg return: About 1-2 weeks
- injured Jan Leszczynski return: Early December 2026
- injured Jens Castrop return: Late October 2026
- injured Ko Itakura return: Back in training
- injured Nicolas-Gerrit Kühn return: Back in training
- injured Tim Kleindienst return: About 1-2 weeks
Head to head
All-time (per our source): Hamburger SV 16 · 15 15 draws · 15 Borussia M.Gladbach
| Date | Home | Score | Away |
|---|---|---|---|
| 2026-01-17 | Hamburg | 0:0 | M'gladbach |
| 2025-08-24 | M'gladbach | 0:0 | Hamburg |
| 2018-05-12 | Hamburg | 2:1 | M'gladbach |
| 2017-12-15 | M'gladbach | 3:1 | Hamburg |
| 2017-03-12 | Hamburg | 2:1 | M'gladbach |
Answers are generated from the model probabilities and the published evidence on this page only — the AI cannot see anything else and cannot change the probabilities.
Probabilities are generated by our own statistical model from public match data. AI is used only to explain the evidence and analysis.
Data coverage