Bundesliga Round 5 2026-10-10 · 13:30 UTC finished
Paderborn (home)
VS Home Deluxe Arena, Paderborn
Stuttgart (away)
Prediction
25% Paderborn (home)
27% Draw
48% Stuttgart (away) Model favorite
Expected goals 1.11 — 1.75 Over 2.5 goals: 55% Both teams to score: 56%

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 Paderborn Stuttgart
Recent xG (attack, per-match avg) 0.672.14
Recent xGA (defence, per-match avg) 1.433.2
Sample size (matches with xG data) 43
Rest days since last match 2021
Season pressing (PPDA, lower = more intense) 15.4 10.0
Matches in the last 7 days 00
Matches in the next 7 days 24
Travel to this match (km) 0329

What could go against this prediction

The model's top probability for this match is below 50% (backtest hit rate for this band is 42.7%%).

Injuries & suspensions

Latest pre-match snapshot from our data source; availability varies by league.

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

Stuttgart

  • injured Ameen Al Dakhil return: Late October 2026
  • injured Dan-Axel Zagadou return: Mid October 2026
  • injured Justin Diehl return: Early October 2026
  • injured Luca Jaquez return: Mid October 2026
  • injured Nikolas Nartey return: doubtful
  • injured Tiago Tomás return: Early October 2026

Head to head

All-time (per our source): Paderborn 0 · 1 1 draws · 2 Stuttgart

DateHome ScoreAway
2023-01-31Paderborn 1 - 2VfB Stuttgart
2015-05-23Paderborn 1 - 2VfB Stuttgart
2014-12-20VfB Stuttgart 0 - 0Paderborn
Ask AI about this match

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.

How predictions are made

Probabilities are generated by our own statistical model from public match data. AI is used only to explain the evidence and analysis.

Data coverage

Model probabilities: available Recent xG form: available Injuries & suspensions: available Head to head: available Pressing baseline: available Season context: available