⚽MatchPredict Pro

La Liga – Matchday 1

Mon, Nov 9, 2026 – 14:30Benito VillamarínNot started
Demo
Betis
1st • 24 Pts
VS
Real Madrid
4th • 19 Pts

Prediction Summary

37%
BET Win
range 32%–42%
28%
Draw
range 27%–29%
35%
RMA Win
range 30%–40%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: BET 1.34 · RMA 1.30

Other markets

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

Team Comparison

BetisReal Madrid
1466Elo rating1616
W-D-W-L-WForm (last 5)W-D-L-D-W
1.70Goals for / game1.60
1.60Goals against / game1.20
1.42xG for / game1.38
1.48xG against / game1.20
43%Home win rate—
—Away win rate52%
8Rest days8

Player Availability

Betis
  • I. KaneDoubtful
Real Madrid
  • L. FernandesInjury
  • U. MoreauInjury

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

Analysis & Key Insights

  • Team Strength: Betis Elo 1466 vs Real Madrid 1616 (-150).
  • Recent Form: Betis (W-D-W-L-W) vs Real Madrid (W-D-L-D-W), last 5.
  • Goals: Betis score 1.70 / concede 1.60 per game; Real Madrid 1.60 / 1.20 (last 10).
  • Expected Goals: Betis average 1.42 xG, Real Madrid 1.38 (residualised vs Elo before use).
  • Home Advantage: Betis have won 43% of home games in the sample; Real Madrid 52% away.
  • Player Availability: Betis: 1 absent/doubtful; Real Madrid: 2.
  • Schedule & Rest: Betis 8 days rest, Real Madrid 8 days.
  • Head-to-Head: Average goal difference -1.20 for Betis over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    41%
  • Home Advantage
    39%
  • Recent Form
    6%
  • Head-to-Head (H2H)
    6%
  • Expected Goals (xG)
    5%
  • Player Availability
    2%
  • 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 – 08:30
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.

Go Premium

Unlock detailed analysis, more leagues, advanced statistics and full model breakdowns.

Upgrade to Premium →

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.