⚽MatchPredict Pro

Premier League – Matchday 1

Mon, Nov 9, 2026 – 20:30St James' ParkNot started
Demo
Newcastle
6th • 17 Pts
VS
Chelsea
1st • 31 Pts

Prediction Summary

33%
NEW Win
range 29%–38%
28%
Draw
range 27%–29%
38%
CHE Win
range 34%–44%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: NEW 1.27 · CHE 1.38

Other markets

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

Team Comparison

NewcastleChelsea
1428Elo rating1603
D-L-L-W-WForm (last 5)L-W-L-W-W
1.20Goals for / game2.50
1.20Goals against / game1.40
1.12xG for / game1.96
1.11xG against / game1.27
29%Home win rate—
—Away win rate43%
8Rest days8

Player Availability

Newcastle
  • F. SmithSuspension
Chelsea
  • Q. NovakSuspension

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

Analysis & Key Insights

  • Team Strength: Newcastle Elo 1428 vs Chelsea 1603 (-175).
  • Recent Form: Newcastle (D-L-L-W-W) vs Chelsea (L-W-L-W-W), last 5.
  • Goals: Newcastle score 1.20 / concede 1.20 per game; Chelsea 2.50 / 1.40 (last 10).
  • Expected Goals: Newcastle average 1.12 xG, Chelsea 1.96 (residualised vs Elo before use).
  • Home Advantage: Newcastle have won 29% of home games in the sample; Chelsea 43% away.
  • Player Availability: Newcastle: 1 absent/doubtful; Chelsea: 1.
  • Schedule & Rest: Newcastle 8 days rest, Chelsea 8 days.
  • Head-to-Head: Average goal difference -1.40 for Newcastle over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    50%
  • Home Advantage
    40%
  • Head-to-Head (H2H)
    7%
  • Recent Form
    2%
  • Expected Goals (xG)
    0%
  • Player Availability
    0%
  • 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 – 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.