Villarreal CF vs Paris Saint-Germain FC

Villarreal CF
#28 · 3 pts
0–6
Full time
Half-time 0–4
Paris Saint-Germain FC
#1 · 12 pts

AI prediction

No model prediction was made for this match.

Form & stats this competition season

VillarrealPSG
Table position#28 · 3 pts#1 · 12 pts
Last 5 (newest first)LLWLWWWW
Home W-D-L (goals)1-0-1 (3:7)2-0-0 (10:3)
Away W-D-L (goals)0-0-2 (5:7)2-0-0 (10:2)
Goals per game at home (for/against)1.50 / 3.505.00 / 1.50
Goals per game away (for/against)2.50 / 3.505.00 / 1.00
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

VillarrealPSG
Days since last match44.1
Matches in last 14 days22
Next match+4.9 d: vs Getafe (PD)+4 d: vs Troyes (FL1)
Points per game, last 5 (all comps)1.403.00
Clean sheets / failed to score (this comp)0 / 1 (4)1 / 0 (4)
Over 2.5 / both scored (this comp)4 / 3 (4)4 / 3 (4)

Villarreal – recent matches, all competitions: L vs Espanyol 0–1 · W @ Valencia 2–1 · L @ Liverpool 3–4 · D vs Elche 0–0 · W vs Napoli 3–1 · L @ Real Madrid 0–1

PSG – recent matches, all competitions: W @ Le Havre 5–1 · W vs Olympique Lyon 2–0 · W vs Barça 4–2 · W @ Strasbourg 3–1 · W @ Man City 4–2 · W vs Le Mans 3–1

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.

More UEFA Champions League matches