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Champions League
Referee: José Sánchez
Feyenoord
S T T T S
1–0
Full-time
Milan
S T U S S

Retrospective analysis — the model is trained only on matches played before this one.

🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Feyenoord Milan
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,2
2,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
50%
67%
Average goals
3,3
2,8
Scored
1,5
1,8
Conceded
1,8
1,0
Goal diff per game
-0,3
+0,8
xG created Pro
xG conceded Pro
xG diff Pro
This season — Champions League · 8/8 matches
Win Ø 57%
50%
63%
Points per game
1,6
1,9
Over 2.5 Ø 88%
100%
75%
Both score Ø 75%
75%
75%
Average goals
4,9
3,1
Scored
2,3
1,8
Conceded
2,6
1,4
Goal diff per game
-0,4
+0,4
xG created Pro
xG conceded Pro
xG diff Pro
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 1–0

0,50 xG 0,57
46% Possession 54%
11 Shots 12
2 Shots on target 6
3 Blocked shots 4
6 Goalkeeper saves 2
5 Corners 6
4 Offside 5
8 Free kicks against 9
2 Yellow cards 1
0 Red cards 0

Match report

Feyenoord Milan
1–0 Igor Paixão ⚽
G. Smal
3′
Half-time 1–0
J. Carranza 🔁
↦ A. Ueda
46′
51′
🟨 Malick Thiaw
Gijs Smal 🟨
57′
60′
🔁 F. Tomori
↦ M. Thiaw
60′
🔁 S. Chukwueze
↦ C. Pulišić
Antoni Milambo 🟨
62′
Hugo Bueno 🔁
↦ G. Smal
70′
I. Osman 🔁
↦ Q. Timber
79′
J. Mitchell 🔁
↦ G. Read
79′
83′
🔁 F. Camarda
↦ Rafael Leão
83′
🔁 T. Abraham
↦ S. Giménez
L. Ivanušec 🔁
↦ Igor Paixão
85′
Full-time 1–0

Odds comparison

Green columns are the outcomes that came in.

Over/under goals
O1,5
–
🔒
U1,5 ✓
–
🔒
O2,5
–
🔒
U2,5 ✓
–
🔒
O3,5
–
🔒
U3,5 ✓
–
🔒
Both teams to score
BLS ja
–
🔒
BLS nei ✓
–
🔒

Recent matches

Referee

José Sánchez · 156 kamper i vår database

🟨 Yellow cards
5,2 / match
Above average
⚽ Free kicks
26,5 / match
Above average

🟥 Red cards: 0,19 per match

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.