⚽MatchPredict Pro

Premier League – Matchday 3

Sun, Nov 15, 2026 – 20:30Etihad StadiumNot started
Demo
Man City
3rd • 24 Pts
VS
Liverpool
2nd • 25 Pts

Prediction Summary

45%
MCI Win
range 40%–51%
27%
Draw
range 26%–29%
27%
LIV Win
range 23%–32%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: MCI 1.53 · LIV 1.14

Other markets

Over 2.5 Goals
50%
Under 2.5 Goals
50%
BTTS – Yes
54%
BTTS – No
46%

Team Comparison

Man CityLiverpool
1591Elo rating1601
W-W-W-L-LForm (last 5)L-L-L-L-W
1.00Goals for / game1.40
0.90Goals against / game1.60
1.10xG for / game1.34
0.91xG against / game1.37
48%Home win rate—
—Away win rate52%
14Rest days14

Player Availability

Man City
  • D. MartinDoubtful
Liverpool
  • W. LopezDoubtful
  • Z. MüllerInjury

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

Analysis & Key Insights

  • Team Strength: Man City Elo 1591 vs Liverpool 1601 (-10).
  • Recent Form: Man City (W-W-W-L-L) vs Liverpool (L-L-L-L-W), last 5.
  • Goals: Man City score 1.00 / concede 0.90 per game; Liverpool 1.40 / 1.60 (last 10).
  • Expected Goals: Man City average 1.10 xG, Liverpool 1.34 (residualised vs Elo before use).
  • Home Advantage: Man City have won 48% of home games in the sample; Liverpool 52% away.
  • Player Availability: Man City: 1 absent/doubtful; Liverpool: 2.
  • Schedule & Rest: Man City 14 days rest, Liverpool 14 days.
  • Head-to-Head: Average goal difference +0.40 for Man City over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    70%
  • Recent Form
    13%
  • Expected Goals (xG)
    6%
  • Team Strength (Elo)
    5%
  • Head-to-Head (H2H)
    4%
  • Player Availability
    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 – 14:30
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.