⚽MatchPredict Pro

Premier League – Matchday 2

Thu, Nov 12, 2026 – 13:00Emirates StadiumNot started
Demo
Arsenal
4th • 20 Pts
VS
Aston Villa
8th • 7 Pts

Prediction Summary

60%
ARS Win
range 54%–65%
24%
Draw
range 22%–25%
17%
AVL Win
range 14%–20%
Most likely score
1 – 1
only 11% likely — not a forecast of the exact result
Expected goals: ARS 1.90 · AVL 0.92

Other markets

Over 2.5 Goals
54%
Under 2.5 Goals
46%
BTTS – Yes
52%
BTTS – No
48%

Team Comparison

ArsenalAston Villa
1624Elo rating1328
W-W-W-W-LForm (last 5)D-L-W-L-L
1.10Goals for / game0.70
1.10Goals against / game1.70
1.02xG for / game0.86
1.11xG against / game1.50
57%Home win rate—
—Away win rate5%
11Rest days11

Player Availability

Arsenal

No reported absences.

Aston Villa
  • A. CostaInjury
  • K. CostaDoubtful

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

Analysis & Key Insights

  • Team Strength: Arsenal Elo 1624 vs Aston Villa 1328 (+296).
  • Recent Form: Arsenal (W-W-W-W-L) vs Aston Villa (D-L-W-L-L), last 5.
  • Goals: Arsenal score 1.10 / concede 1.10 per game; Aston Villa 0.70 / 1.70 (last 10).
  • Expected Goals: Arsenal average 1.02 xG, Aston Villa 0.86 (residualised vs Elo before use).
  • Home Advantage: Arsenal have won 57% of home games in the sample; Aston Villa 5% away.
  • Player Availability: Arsenal: 0 absent/doubtful; Aston Villa: 2.
  • Schedule & Rest: Arsenal 11 days rest, Aston Villa 11 days.
  • Head-to-Head: Average goal difference +1.40 for Arsenal over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    57%
  • Home Advantage
    27%
  • Expected Goals (xG)
    6%
  • Head-to-Head (H2H)
    5%
  • Recent Form
    3%
  • 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 – 07:00
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.