Model: history/v2-w1460-r150. Probabilities are produced by our own model from public match data. They are not odds and not betting advice.
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 | Werder Bremen | Paderborn |
|---|---|---|
| Recent xG (attack, per-match avg) | 0.94 | 0.93 |
| Recent xGA (defence, per-match avg) | 1.98 | 1.64 |
| Sample size (matches with xG data) | 4 | 5 |
| Rest days since last match | 8 | 7 |
| Season pressing (PPDA, lower = more intense) | 18.5 | 15.4 |
| Matches in the last 7 days | 1 | 1 |
| Matches in the next 7 days | 1 | 1 |
| Travel to this match (km) | 199 | 149 |
What could go against this prediction
Injuries & suspensions
Latest pre-match snapshot from our data source; availability varies by league.
Werder Bremen
- injured Felix Agu return: Mid October 2026
- injured Jens Stage return: Late October 2026
- injured Justin Njinmah return: Late October 2026
- injured Keke Topp return: Early January 2027
- injured Moussa N'Diaye return: Late October 2026
- injured Salim Musah return: Early January 2027
- injured Senne Lynen return: About 1-2 weeks
- injured Skelly Alvero return: Late October 2026
Paderborn
- injured Marcel Hoffmeier return: A few weeks
- injured Nyamekye Awortwie-Grant return: Mid October 2026
- injured Sebastian Klaas return: Mid October 2026
- injured Timur Gayret return: Early January 2027
Head to head
All-time (per our source): Werder Bremen 4 · 2 2 draws · 3 Paderborn
| Date | Home | Score | Away |
|---|---|---|---|
| 2024-10-30 | Paderborn | 0 - 1 | Werder Bremen |
| 2022-10-19 | Paderborn | 2 - 2 | Werder Bremen |
| 2022-01-22 | Paderborn | 3 - 4 | Werder Bremen |
| 2021-08-15 | Werder Bremen | 1 - 4 | Paderborn |
| 2020-06-13 | Paderborn | 1 - 5 | Werder Bremen |
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