⚽MatchPredict Pro

La Liga – Matchday 2

Thu, Nov 12, 2026 – 14:30Sánchez-PizjuánNot started
Demo
Sevilla
8th • 14 Pts
VS
Real Sociedad
6th • 19 Pts

Prediction Summary

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

Other markets

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

Team Comparison

SevillaReal Sociedad
1356Elo rating1490
W-D-L-L-DForm (last 5)W-L-W-W-L
0.70Goals for / game1.10
1.80Goals against / game1.30
0.91xG for / game1.15
1.56xG against / game1.31
33%Home win rate—
—Away win rate19%
11Rest days11

Player Availability

Sevilla
  • X. SilvaInjury
  • Y. BianchiDoubtful
Real Sociedad
  • X. BianchiInjury

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

Analysis & Key Insights

  • Team Strength: Sevilla Elo 1356 vs Real Sociedad 1490 (-135).
  • Recent Form: Sevilla (W-D-L-L-D) vs Real Sociedad (W-L-W-W-L), last 5.
  • Goals: Sevilla score 0.70 / concede 1.80 per game; Real Sociedad 1.10 / 1.30 (last 10).
  • Expected Goals: Sevilla average 0.91 xG, Real Sociedad 1.15 (residualised vs Elo before use).
  • Home Advantage: Sevilla have won 33% of home games in the sample; Real Sociedad 19% away.
  • Player Availability: Sevilla: 2 absent/doubtful; Real Sociedad: 1.
  • Schedule & Rest: Sevilla 11 days rest, Real Sociedad 11 days.
  • Head-to-Head: Average goal difference -1.00 for Sevilla over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    46%
  • Team Strength (Elo)
    44%
  • Head-to-Head (H2H)
    6%
  • Recent Form
    3%
  • Expected Goals (xG)
    1%
  • Player Availability
    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 12, 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.