Manchester United FC vs Aston Villa FC

Manchester United FC
#18 · 8 pts
4–4
Full time
Half-time 2–2
Aston Villa FC
#10 · 13 pts

AI prediction · locked November 6, 2026 4:30 pm

Man United 41%Draw 25%Aston Villa 34%
Over 2.554%
Both score57%
Model goals1.50–1.34

Model pick 2–1

Result after 90 minutes: 4–4. The model tipped 2–1 and scored 0 points.

Most likely scores

1–1 · 11.8%2–1 · 8.8%1–0 · 8.8%1–2 · 7.9%0–1 · 7.8%2–0 · 6.6%

Why

The model expects Man United to score 1.50 goals: league home average 1.50 × Man United home attack 1.00 × Aston Villa away defence 1.00.

It expects Aston Villa to score 1.34 goals: league away average 1.20 × Aston Villa away attack 0.93 × Man United home defence 1.20.

Based on 4 home games for Man United, 4 away games for Aston Villa and 90 finished matches in the competition.

Attack above 1.00 means scoring more than the league average; defence above 1.00 means conceding more than average (weaker).

The outcome is close to a toss-up according to the model – treat the pick with extra caution.

Form & stats this competition season

Man UnitedAston Villa
Table position#18 · 8 pts#10 · 13 pts
Last 5 (newest first)DLLDDDDWWD
Home W-D-L (goals)1-2-2 (10:11)1-2-2 (6:7)
Away W-D-L (goals)0-3-2 (4:8)2-2-1 (8:10)
Goals per game at home (for/against)2.00 / 2.201.20 / 1.40
Goals per game away (for/against)0.80 / 1.601.60 / 2.00
xGn/an/a

xG is not available from the current data source (football-data.org). Competition averages: 1.53 home and 1.20 away goals per match (100 finished matches).

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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