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Serie A – Matchday 3

Sun, Nov 15, 2026 – 12:00Stadio OlimpicoNot started
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Roma
3rd • 22 Pts
VS
Inter
1st • 34 Pts

Prediction Summary

30%
ROM Win
range 25%–35%
28%
Draw
range 26%–29%
42%
INT Win
range 37%–48%
Most likely score
1 – 1
only 13% likely — not a forecast of the exact result
Expected goals: ROM 1.19 · INT 1.46

Other markets

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

Team Comparison

RomaInter
1482Elo rating1731
L-L-D-L-WForm (last 5)W-D-W-W-W
1.30Goals for / game1.90
1.40Goals against / game0.40
1.33xG for / game1.54
1.30xG against / game0.87
43%Home win rate—
—Away win rate67%
14Rest days14

Player Availability

Roma

No reported absences.

Inter
  • K. SchmidtDoubtful

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

Analysis & Key Insights

  • Team Strength: Roma Elo 1482 vs Inter 1731 (-249).
  • Recent Form: Roma (L-L-D-L-W) vs Inter (W-D-W-W-W), last 5.
  • Goals: Roma score 1.30 / concede 1.40 per game; Inter 1.90 / 0.40 (last 10).
  • Expected Goals: Roma average 1.33 xG, Inter 1.54 (residualised vs Elo before use).
  • Home Advantage: Roma have won 43% of home games in the sample; Inter 67% away.
  • Player Availability: Roma: 0 absent/doubtful; Inter: 1.
  • Schedule & Rest: Roma 14 days rest, Inter 14 days.
  • Head-to-Head: Average goal difference -1.00 for Roma over recent meetings.

Predicted Scoreline Distribution

Key Factors (This Match)

  • Team Strength (Elo)
    55%
  • Home Advantage
    31%
  • Recent Form
    5%
  • Head-to-Head (H2H)
    4%
  • Expected Goals (xG)
    4%
  • 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 15, 2026 – 06:00
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.