Model: history/v2-w1460-r150. Probabilities are produced by our own model from public match data. They are not odds and not betting advice.
Why — recent form
"—" means the number is not available in our data; we never fill gaps with zeros. Recent form covers only matches with expected-goals data, which may be fewer than the team's actual recent fixtures.
| Metric | Napoli | Roma |
|---|---|---|
| Recent xG (attack, per-match avg) | 1.92 | 2.09 |
| Recent xGA (defence, per-match avg) | 1.22 | 0.68 |
| Sample size (matches with xG data) | 5 | 5 |
| Rest days since last match | 4 | 4 |
| Season pressing (PPDA, lower = more intense) | 14.1 | 9.1 |
| Matches in the last 7 days | 4 | 4 |
| Matches in the next 7 days | 3 | 3 |
| Travel to this match (km) | 0 | 190 |
What the data says
Napoli vs Roma: what the data says
Home last five: 1.40 points, 2.56 xG for, 1.30 against per game. Away: 2.20 / 2.15 / 1.29.
What is worth noting before kickoff?
What could go against this prediction
Injuries & suspensions
Latest pre-match snapshot from our data source; availability varies by league.
Napoli
- injured Alessandro Buongiorno return: Early November 2026
- injured Alisson Santos return: Early November 2026
- injured Amir Rrahmani return: doubtful
- injured Costantino Favasuli return: Early November 2026
- injured David Neres return: Early November 2026
Roma
- injured Lorenzo Pellegrini return: Late November 2026
- injured Manu Koné return: Mid November 2026
- injured Mile Svilar return: Early November 2026
- injured Paulo Dybala return: Early November 2026
Head to head
All-time (per our source): Napoli 16 · 8 8 draws · 10 Roma
| Date | Home | Score | Away |
|---|---|---|---|
| 2026-02-15 | Napoli | 2 - 2 | Roma |
| 2025-11-30 | Roma | 0 - 1 | Napoli |
| 2025-02-02 | Roma | 1 - 1 | Napoli |
| 2024-11-24 | Napoli | 1 - 0 | Roma |
| 2024-04-28 | Napoli | 2 - 2 | Roma |
Answers are generated from the model probabilities and the published evidence on this page only — the AI cannot see anything else and cannot change the probabilities.
Probabilities are generated by our own statistical model from public match data. AI is used only to explain the evidence and analysis.
Data coverage