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Bundesliga – Matchday 3

Sun, Nov 15, 2026 – 19:30BayArenaNot started
Demo
Leverkusen
5th • 17 Pts
VS
Dortmund
2nd • 27 Pts

Prediction Summary

36%
B04 Win
range 31%–41%
28%
Draw
range 27%–29%
36%
BVB Win
range 31%–41%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: B04 1.32 · BVB 1.32

Other markets

Over 2.5 Goals
49%
Under 2.5 Goals
51%
BTTS – Yes
55%
BTTS – No
45%

Team Comparison

LeverkusenDortmund
1564Elo rating1619
L-L-D-D-DForm (last 5)W-W-W-W-L
0.90Goals for / game2.00
1.20Goals against / game1.30
1.01xG for / game1.65
1.16xG against / game1.18
57%Home win rate—
—Away win rate48%
14Rest days14

Player Availability

Leverkusen
  • B. MüllerSuspension
  • O. DuboisDoubtful
Dortmund

No reported absences.

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

Analysis & Key Insights

  • Team Strength: Leverkusen Elo 1564 vs Dortmund 1619 (-55).
  • Recent Form: Leverkusen (L-L-D-D-D) vs Dortmund (W-W-W-W-L), last 5.
  • Goals: Leverkusen score 0.90 / concede 1.20 per game; Dortmund 2.00 / 1.30 (last 10).
  • Expected Goals: Leverkusen average 1.01 xG, Dortmund 1.65 (residualised vs Elo before use).
  • Home Advantage: Leverkusen have won 57% of home games in the sample; Dortmund 48% away.
  • Player Availability: Leverkusen: 2 absent/doubtful; Dortmund: 0.
  • Schedule & Rest: Leverkusen 14 days rest, Dortmund 14 days.
  • Head-to-Head: Average goal difference -1.20 for Leverkusen over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    50%
  • Team Strength (Elo)
    19%
  • Recent Form
    14%
  • Head-to-Head (H2H)
    8%
  • Expected Goals (xG)
    7%
  • Player Availability
    3%
  • 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 15, 2026 – 13:30
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.