⚽MatchPredict Pro

Serie A – Matchday 1

Mon, Nov 9, 2026 – 19:30Gewiss StadiumNot started
Demo
Atalanta
7th • 15 Pts
VS
Napoli
4th • 18 Pts

Prediction Summary

42%
ATA Win
range 37%–48%
28%
Draw
range 26%–29%
30%
NAP Win
range 26%–35%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: ATA 1.46 · NAP 1.19

Other markets

Over 2.5 Goals
50%
Under 2.5 Goals
50%
BTTS – Yes
55%
BTTS – No
45%

Team Comparison

AtalantaNapoli
1444Elo rating1484
L-D-L-W-LForm (last 5)D-W-L-L-L
0.80Goals for / game1.50
1.30Goals against / game1.70
0.98xG for / game1.37
1.19xG against / game1.61
38%Home win rate—
—Away win rate24%
8Rest days8

Player Availability

Atalanta

No reported absences.

Napoli
  • L. SilvaDoubtful
  • M. BianchiSuspension

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

Analysis & Key Insights

  • Team Strength: Atalanta Elo 1444 vs Napoli 1484 (-40).
  • Recent Form: Atalanta (L-D-L-W-L) vs Napoli (D-W-L-L-L), last 5.
  • Goals: Atalanta score 0.80 / concede 1.30 per game; Napoli 1.50 / 1.70 (last 10).
  • Expected Goals: Atalanta average 0.98 xG, Napoli 1.37 (residualised vs Elo before use).
  • Home Advantage: Atalanta have won 38% of home games in the sample; Napoli 24% away.
  • Player Availability: Atalanta: 0 absent/doubtful; Napoli: 2.
  • Schedule & Rest: Atalanta 8 days rest, Napoli 8 days.
  • Head-to-Head: Average goal difference +0.20 for Atalanta over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    68%
  • Team Strength (Elo)
    19%
  • Expected Goals (xG)
    5%
  • Player Availability
    4%
  • Recent Form
    2%
  • Head-to-Head (H2H)
    2%
  • 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 – 13:30
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.