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Bundesliga – Matchday 1

Mon, Nov 9, 2026 – 16:00Deutsche Bank ParkNot started
Demo
Frankfurt
8th • 11 Pts
VS
Leverkusen
5th • 17 Pts

Prediction Summary

34%
SGE Win
range 29%–39%
28%
Draw
range 27%–29%
38%
B04 Win
range 33%–43%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: SGE 1.27 · B04 1.37

Other markets

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

Team Comparison

FrankfurtLeverkusen
1325Elo rating1564
L-W-L-W-LForm (last 5)L-L-D-D-D
1.00Goals for / game0.90
1.70Goals against / game1.20
0.95xG for / game1.01
1.42xG against / game1.16
5%Home win rate—
—Away win rate48%
8Rest days8

Player Availability

Frankfurt

No reported absences.

Leverkusen

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 Leverkusen 1564 (-240).
  • Recent Form: Frankfurt (L-W-L-W-L) vs Leverkusen (L-L-D-D-D), last 5.
  • Goals: Frankfurt score 1.00 / concede 1.70 per game; Leverkusen 0.90 / 1.20 (last 10).
  • Expected Goals: Frankfurt average 0.95 xG, Leverkusen 1.01 (residualised vs Elo before use).
  • Home Advantage: Frankfurt have won 5% of home games in the sample; Leverkusen 48% away.
  • Player Availability: Frankfurt: 0 absent/doubtful; Leverkusen: 0.
  • Schedule & Rest: Frankfurt 8 days rest, Leverkusen 8 days.
  • Head-to-Head: Average goal difference -1.20 for Frankfurt over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    50%
  • Home Advantage
    30%
  • Recent Form
    9%
  • Expected Goals (xG)
    7%
  • Head-to-Head (H2H)
    5%
  • Player Availability
    0%
  • 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 – 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.