Manchester United FC vs AS Roma

Manchester United FC
#17 · 6 pts
3–2
Full time
Half-time 0–2
AS Roma
#20 · 4 pts

AI prediction

No model prediction was made for this match.

Form & stats this competition season

Man UnitedRoma
Table position#17 · 6 pts#20 · 4 pts
Last 5 (newest first)WLLWLWLD
Home W-D-L (goals)2-0-0 (7:2)1-0-1 (7:4)
Away W-D-L (goals)0-0-2 (1:6)0-1-1 (3:4)
Goals per game at home (for/against)3.50 / 1.003.50 / 2.00
Goals per game away (for/against)0.50 / 3.001.50 / 2.00
xGn/an/a

xG is not available from the current data source (football-data.org). Competition averages: 2.32 home and 1.72 away goals per match (72 finished matches).

Schedule, form & head-to-head

Man UnitedRoma
Days since last match3.33.1
Matches in last 14 days33
Next match+4.9 d: vs Aston Villa (PL)+4 d: vs Sassuolo (SA)
Points per game, last 5 (all comps)0.202.60
Clean sheets / failed to score (this comp)1 / 1 (4)1 / 0 (4)
Over 2.5 / both scored (this comp)3 / 2 (4)3 / 3 (4)

Man United – recent matches, all competitions: L @ Chelsea 0–2 · L vs Bournemouth 0–3 · L @ Como 1907 1–4 · D @ Leeds United 1–1 · L @ Atleti 0–2 · D vs Tottenham 1–1

Roma – recent matches, all competitions: W @ Udinese 5–2 · W vs Cagliari 4–2 · D @ Napoli 3–3 · W vs Sl. Bratislava 4–0 · W vs Genoa 2–0 · L vs Real Madrid 3–4

Only the six tracked competitions count; domestic cups are not included.

Model assumptions & limitations

Assumptions

  • Goals for each team follow independent Poisson distributions.
  • Expected goals (λ) = league average home/away goals × attack strength × opponent defence strength.
  • Strengths use only this competition and season: home form for the home side, away form for the away side. If either team has too few home/away games, overall form (all games) is used instead and this is stated in the explanation.
  • Strengths are shrunk towards the league average when few games have been played.
  • Predictions are for the score after regular time (90 minutes plus stoppage time).
  • The model's tipped score is the one with the highest expected points under the game's scoring system, not necessarily the most likely single score.

Limitations

  • No injuries, suspensions, line-ups, transfers, rotation or motivation are considered.
  • No xG or shot data is used – the current data source does not provide it.
  • Results in other competitions (e.g. domestic league for Champions League teams) are not included.
  • Independent Poisson models tend to slightly underestimate draws.
  • Probabilities are estimates with considerable uncertainty, not facts or guarantees.

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