⚽MatchPredict Pro

Premier League – Matchday 2

Thu, Nov 12, 2026 – 17:00AnfieldNot started
Demo
Liverpool
2nd • 25 Pts
VS
Newcastle
6th • 17 Pts

Prediction Summary

50%
LIV Win
range 45%–55%
26%
Draw
range 25%–28%
24%
NEW Win
range 20%–28%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: LIV 1.64 · NEW 1.06

Other markets

Over 2.5 Goals
51%
Under 2.5 Goals
49%
BTTS – Yes
54%
BTTS – No
46%

Team Comparison

LiverpoolNewcastle
1601Elo rating1428
L-L-L-L-WForm (last 5)D-L-L-W-W
1.40Goals for / game1.20
1.60Goals against / game1.20
1.34xG for / game1.12
1.37xG against / game1.11
52%Home win rate—
—Away win rate24%
11Rest days11

Player Availability

Liverpool

No reported absences.

Newcastle
  • P. SchmidtDoubtful
  • I. SchmidtDoubtful

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

Analysis & Key Insights

  • Team Strength: Liverpool Elo 1601 vs Newcastle 1428 (+173).
  • Recent Form: Liverpool (L-L-L-L-W) vs Newcastle (D-L-L-W-W), last 5.
  • Goals: Liverpool score 1.40 / concede 1.60 per game; Newcastle 1.20 / 1.20 (last 10).
  • Expected Goals: Liverpool average 1.34 xG, Newcastle 1.12 (residualised vs Elo before use).
  • Home Advantage: Liverpool have won 52% of home games in the sample; Newcastle 24% away.
  • Player Availability: Liverpool: 0 absent/doubtful; Newcastle: 2.
  • Schedule & Rest: Liverpool 11 days rest, Newcastle 11 days.
  • Head-to-Head: Average goal difference +1.20 for Liverpool over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    42%
  • Home Advantage
    34%
  • Expected Goals (xG)
    9%
  • Recent Form
    8%
  • Head-to-Head (H2H)
    5%
  • 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 – 11:00
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.