⚽MatchPredict Pro

Serie A – Matchday 2

Thu, Nov 12, 2026 – 16:00San SiroNot started
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AC Milan
6th • 15 Pts
VS
Atalanta
7th • 15 Pts

Prediction Summary

45%
MIL Win
range 40%–50%
27%
Draw
range 26%–29%
27%
ATA Win
range 23%–32%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: MIL 1.53 · ATA 1.14

Other markets

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

Team Comparison

AC MilanAtalanta
1520Elo rating1444
L-L-D-W-LForm (last 5)L-D-L-W-L
1.10Goals for / game0.80
1.80Goals against / game1.30
1.12xG for / game0.98
1.51xG against / game1.19
48%Home win rate—
—Away win rate33%
11Rest days11

Player Availability

AC Milan
  • V. MüllerInjury
  • Y. LopezSuspension
Atalanta

No reported absences.

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

Analysis & Key Insights

  • Team Strength: AC Milan Elo 1520 vs Atalanta 1444 (+76).
  • Recent Form: AC Milan (L-L-D-W-L) vs Atalanta (L-D-L-W-L), last 5.
  • Goals: AC Milan score 1.10 / concede 1.80 per game; Atalanta 0.80 / 1.30 (last 10).
  • Expected Goals: AC Milan average 1.12 xG, Atalanta 0.98 (residualised vs Elo before use).
  • Home Advantage: AC Milan have won 48% of home games in the sample; Atalanta 33% away.
  • Player Availability: AC Milan: 2 absent/doubtful; Atalanta: 0.
  • Schedule & Rest: AC Milan 11 days rest, Atalanta 11 days.
  • Head-to-Head: Average goal difference +0.20 for AC Milan over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Home Advantage
    54%
  • Team Strength (Elo)
    29%
  • Expected Goals (xG)
    9%
  • Player Availability
    4%
  • Recent Form
    2%
  • Head-to-Head (H2H)
    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 – 10:00
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.