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Bundesliga – Matchday 2

Thu, Nov 12, 2026 – 16:00Signal Iduna ParkNot started
Demo
Dortmund
2nd • 27 Pts
VS
Stuttgart
3rd • 26 Pts

Prediction Summary

46%
BVB Win
range 41%–51%
27%
Draw
range 26%–29%
27%
VFB Win
range 23%–31%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: BVB 1.55 · VFB 1.13

Other markets

Over 2.5 Goals
50%
Under 2.5 Goals
50%
BTTS – Yes
54%
BTTS – No
46%

Team Comparison

DortmundStuttgart
1619Elo rating1553
W-W-W-W-LForm (last 5)W-D-D-D-W
2.00Goals for / game1.70
1.30Goals against / game1.20
1.65xG for / game1.53
1.18xG against / game1.20
81%Home win rate—
—Away win rate33%
11Rest days11

Player Availability

Dortmund
  • I. MüllerInjury
Stuttgart
  • R. DuboisDoubtful

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

Analysis & Key Insights

  • Team Strength: Dortmund Elo 1619 vs Stuttgart 1553 (+66).
  • Recent Form: Dortmund (W-W-W-W-L) vs Stuttgart (W-D-D-D-W), last 5.
  • Goals: Dortmund score 2.00 / concede 1.30 per game; Stuttgart 1.70 / 1.20 (last 10).
  • Expected Goals: Dortmund average 1.65 xG, Stuttgart 1.53 (residualised vs Elo before use).
  • Home Advantage: Dortmund have won 81% of home games in the sample; Stuttgart 33% away.
  • Player Availability: Dortmund: 1 absent/doubtful; Stuttgart: 1.
  • Schedule & Rest: Dortmund 11 days rest, Stuttgart 11 days.
  • Head-to-Head: Average goal difference -0.80 for Dortmund over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    58%
  • Team Strength (Elo)
    27%
  • Head-to-Head (H2H)
    6%
  • Recent Form
    5%
  • Expected Goals (xG)
    3%
  • 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 12, 2026 – 10:00
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.