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La Liga – Matchday 3

Sun, Nov 15, 2026 – 19:30MetropolitanoNot started
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Atlético
5th • 19 Pts
VS
Real Madrid
4th • 19 Pts

Prediction Summary

40%
ATM Win
range 35%–45%
28%
Draw
range 27%–29%
32%
RMA Win
range 28%–37%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: ATM 1.40 · RMA 1.25

Other markets

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

Team Comparison

AtléticoReal Madrid
1565Elo rating1616
L-D-D-D-DForm (last 5)W-D-L-D-W
1.50Goals for / game1.60
1.20Goals against / game1.20
1.31xG for / game1.38
1.17xG against / game1.20
52%Home win rate—
—Away win rate52%
14Rest days14

Player Availability

Atlético

No reported absences.

Real Madrid
  • S. GarcíaInjury
  • K. MüllerInjury

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

Analysis & Key Insights

  • Team Strength: Atlético Elo 1565 vs Real Madrid 1616 (-52).
  • Recent Form: Atlético (L-D-D-D-D) vs Real Madrid (W-D-L-D-W), last 5.
  • Goals: Atlético score 1.50 / concede 1.20 per game; Real Madrid 1.60 / 1.20 (last 10).
  • Expected Goals: Atlético average 1.31 xG, Real Madrid 1.38 (residualised vs Elo before use).
  • Home Advantage: Atlético have won 52% of home games in the sample; Real Madrid 52% away.
  • Player Availability: Atlético: 0 absent/doubtful; Real Madrid: 2.
  • Schedule & Rest: Atlético 14 days rest, Real Madrid 14 days.
  • Head-to-Head: Average goal difference -1.20 for Atlético over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    57%
  • Team Strength (Elo)
    21%
  • Head-to-Head (H2H)
    9%
  • Recent Form
    6%
  • Player Availability
    4%
  • Expected Goals (xG)
    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.