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Bundesliga – Matchday 3

Sun, Nov 15, 2026 – 12:00Deutsche Bank ParkNot started
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Frankfurt
8th • 11 Pts
VS
Bayern
1st • 27 Pts

Prediction Summary

28%
SGE Win
range 23%–32%
27%
Draw
range 26%–29%
45%
FCB Win
range 40%–50%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: SGE 1.15 · FCB 1.52

Other markets

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

Team Comparison

FrankfurtBayern
1325Elo rating1625
L-W-L-W-LForm (last 5)W-D-W-D-W
1.00Goals for / game1.90
1.70Goals against / game1.00
0.95xG for / game1.70
1.42xG against / game1.12
5%Home win rate—
—Away win rate33%
14Rest days14

Player Availability

Frankfurt
  • A. MartinSuspension
Bayern

No reported absences.

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

Analysis & Key Insights

  • Team Strength: Frankfurt Elo 1325 vs Bayern 1625 (-300).
  • Recent Form: Frankfurt (L-W-L-W-L) vs Bayern (W-D-W-D-W), last 5.
  • Goals: Frankfurt score 1.00 / concede 1.70 per game; Bayern 1.90 / 1.00 (last 10).
  • Expected Goals: Frankfurt average 0.95 xG, Bayern 1.70 (residualised vs Elo before use).
  • Home Advantage: Frankfurt have won 5% of home games in the sample; Bayern 33% away.
  • Player Availability: Frankfurt: 1 absent/doubtful; Bayern: 0.
  • Schedule & Rest: Frankfurt 14 days rest, Bayern 14 days.
  • Head-to-Head: Average goal difference -1.40 for Frankfurt over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    62%
  • Home Advantage
    29%
  • Head-to-Head (H2H)
    5%
  • Expected Goals (xG)
    2%
  • Player Availability
    1%
  • Recent Form
    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 15, 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.