⚽MatchPredict Pro

Bundesliga – Matchday 1

Mon, Nov 9, 2026 – 12:00Volkswagen ArenaNot started
Demo
Wolfsburg
6th • 17 Pts
VS
Bayern
1st • 27 Pts

Prediction Summary

30%
WOB Win
range 26%–35%
28%
Draw
range 26%–29%
42%
FCB Win
range 37%–47%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: WOB 1.20 · FCB 1.46

Other markets

Over 2.5 Goals
50%
Under 2.5 Goals
50%
BTTS – Yes
55%
BTTS – No
45%

Team Comparison

WolfsburgBayern
1399Elo rating1625
W-L-W-D-DForm (last 5)W-D-W-D-W
1.10Goals for / game1.90
2.00Goals against / game1.00
1.02xG for / game1.70
1.61xG against / game1.12
29%Home win rate—
—Away win rate33%
8Rest days8

Player Availability

Wolfsburg
  • P. DuboisDoubtful
Bayern
  • W. KaneDoubtful
  • V. GarcíaDoubtful

Confirmed lineups are published ~1 hour before kickoff and are not yet available.

Analysis & Key Insights

  • Team Strength: Wolfsburg Elo 1399 vs Bayern 1625 (-226).
  • Recent Form: Wolfsburg (W-L-W-D-D) vs Bayern (W-D-W-D-W), last 5.
  • Goals: Wolfsburg score 1.10 / concede 2.00 per game; Bayern 1.90 / 1.00 (last 10).
  • Expected Goals: Wolfsburg average 1.02 xG, Bayern 1.70 (residualised vs Elo before use).
  • Home Advantage: Wolfsburg have won 29% of home games in the sample; Bayern 33% away.
  • Player Availability: Wolfsburg: 1 absent/doubtful; Bayern: 2.
  • Schedule & Rest: Wolfsburg 8 days rest, Bayern 8 days.
  • Head-to-Head: Average goal difference -2.60 for Wolfsburg over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    53%
  • Home Advantage
    33%
  • Head-to-Head (H2H)
    9%
  • Expected Goals (xG)
    3%
  • Recent Form
    2%
  • Player Availability
    1%
  • Schedule & Rest
    0%

Share of the total adjustment to expected goals contributed by each factor in this match.

Model Information

Model:
Elo + Poisson + Dixon-Coles (elo-poisson-dc-v1)
Prediction made:
Nov 9, 2026 – 06:00
Data completeness:
100%
History used:
84 prior matches (both teams)
Data source:
Synthetic demo data

Data completeness = half history depth (40+ prior matches = full) + half optional inputs present (xG, availability, rest, H2H). It is not a win probability.

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Probabilities are estimates, never certainties. The long-term research target is 90%+ accuracy on narrowly defined markets — this is a goal, not a verified result. Figures shown are measured on simulated DEMO matches until real data is connected.