⚽MatchPredict Pro

Bundesliga – Matchday 3

Sun, Nov 15, 2026 – 16:00Red Bull ArenaNot started
Demo
Leipzig
4th • 19 Pts
VS
Wolfsburg
6th • 17 Pts

Prediction Summary

50%
RBL Win
range 45%–55%
26%
Draw
range 25%–28%
23%
WOB Win
range 20%–28%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: RBL 1.65 · WOB 1.06

Other markets

Over 2.5 Goals
51%
Under 2.5 Goals
49%
BTTS – Yes
54%
BTTS – No
46%

Team Comparison

LeipzigWolfsburg
1585Elo rating1399
L-L-L-L-WForm (last 5)W-L-W-D-D
1.40Goals for / game1.10
1.10Goals against / game2.00
1.26xG for / game1.02
1.14xG against / game1.61
52%Home win rate—
—Away win rate24%
14Rest days14

Player Availability

Leipzig
  • J. MoreauSuspension
  • A. RossiDoubtful
Wolfsburg
  • I. BianchiDoubtful

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

Analysis & Key Insights

  • Team Strength: Leipzig Elo 1585 vs Wolfsburg 1399 (+186).
  • Recent Form: Leipzig (L-L-L-L-W) vs Wolfsburg (W-L-W-D-D), last 5.
  • Goals: Leipzig score 1.40 / concede 1.10 per game; Wolfsburg 1.10 / 2.00 (last 10).
  • Expected Goals: Leipzig average 1.26 xG, Wolfsburg 1.02 (residualised vs Elo before use).
  • Home Advantage: Leipzig have won 52% of home games in the sample; Wolfsburg 24% away.
  • Player Availability: Leipzig: 2 absent/doubtful; Wolfsburg: 1.
  • Schedule & Rest: Leipzig 14 days rest, Wolfsburg 14 days.
  • Head-to-Head: Average goal difference +0.40 for Leipzig over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    47%
  • Home Advantage
    36%
  • Recent Form
    13%
  • Head-to-Head (H2H)
    2%
  • Player Availability
    1%
  • Expected Goals (xG)
    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 15, 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.