UEFA Champions League Round 4 2026-11-03 · 20:00 UTC scheduled
Manchester United (home)
VS Old Trafford, Manchester
Roma (away)
Prediction
51% Manchester United (home) Model favorite
19% Draw
30% Roma (away)
Expected goals 1.85 — 1.34 Over 2.5 goals: 62% Both teams to score: 62%

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 Manchester United Roma
Recent xG (attack, per-match avg) 1.111.87
Recent xGA (defence, per-match avg) 1.771.03
Sample size (matches with xG data) 55
Rest days since last match 33
Season pressing (PPDA, lower = more intense) 12.5 9.1
Matches in the last 7 days 33
Matches in the next 7 days 11
Travel to this match (km) 2621378

What could go against this prediction

The model's top probability is below 70%; in backtests matches in this band end as predicted about 53.4% of the time.

Injuries & suspensions

Latest pre-match snapshot from our data source; availability varies by league.

Manchester United

  • injured Benjamin Sesko return: Late October 2026
  • injured Kobbie Mainoo return: About a week
  • injured Luke Shaw return: A few days
  • injured Manuel Ugarte return: Early April 2027
  • injured Marcus Rashford return: doubtful
  • injured Patrick Dorgu return: Late October 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): Manchester United 1 · 0 0 draws · 1 Roma

DateHome ScoreAway
2021-05-06Roma 3:2Manchester United
2021-04-29Manchester United 6:2Roma
Ask AI about this match

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.

How predictions are made

Probabilities are generated by our own statistical model from public match data. AI is used only to explain the evidence and analysis.

Data coverage

Model probabilities: available Recent xG form: available Injuries & suspensions: available Head to head: available Pressing baseline: available Season context: available