Feyenoord Rotterdam vs FC Internazionale Milano

Feyenoord Rotterdam
#32 · 3 pts
0–3
Full time
Half-time 0–2
FC Internazionale Milano
#15 · 6 pts

AI prediction

No model prediction was made for this match.

Form & stats this competition season

FeyenoordInter
Table position#32 · 3 pts#15 · 6 pts
Last 5 (newest first)LLWLWWLL
Home W-D-L (goals)1-0-1 (3:5)1-0-1 (4:4)
Away W-D-L (goals)0-0-2 (1:6)1-0-1 (4:2)
Goals per game at home (for/against)1.50 / 2.502.00 / 2.00
Goals per game away (for/against)0.50 / 3.002.00 / 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

FeyenoordInter
Days since last match133
Matches in last 14 days14
Next match+21 d: vs Porto (CL)+4.9 d: vs Como 1907 (SA)
Points per game, last 5 (all comps)1.002.40
Clean sheets / failed to score (this comp)0 / 2 (4)2 / 0 (4)
Over 2.5 / both scored (this comp)3 / 2 (4)3 / 2 (4)

Feyenoord – recent matches, all competitions: L @ Real Betis 0–1 · W vs Como 1907 3–2 · L @ Barça 1–5

Inter – recent matches, all competitions: L @ Milan 1–3 · W @ Venezia FC 2–0 · W vs Fiorentina 2–1 · W vs Shaktar 1–0 · W @ Bologna 3–1 · L vs Club Brugge 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.

More UEFA Champions League matches