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Champions League Stage Statistics 2024/25

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League stage statistics with the probability on rank class and past results of clubs. Based on a simulation of remaining match results with club strength based on draw pots (and thus loosely based on UEFA coefficients). For more details see below. The table is sorted by the average ranking position in the simulation. Results are ordered by the opponents draw pots (away and home), and the superscript number denotes the matchday.

Champions League
2024/25
pld pnts probability on rank results
1-8 9-16 17-24 25-36 avg std 1A 1H 2A 2H 3A 3H 4A 4H
Liverpool Eng 7 21 100 0 0 0 1.1 0.3 W3 W5 W1 W4  8 W7 W6 W2
FC Barcelona Esp 7 18 100 0 0 0 2.2 0.7 W6 W3 W7  8 W4 W2 L1 W5
Arsenal Eng 7 16 100 0 0 0 3.8 1.3 L4 W2 D1 W3 W5 W7  8 W6
Internazionale Ita 7 16 99 1 0 0 4.2 1.6 D1 W5 L6 W4 W3 W2 W7  8
Atlético Madrid Esp 7 15 74 26 0 0 6.6 2.7 W4 W1 L2 W7  8 L3 W5 W6
AC Milan Ita 7 15 70 30 0 0 7.0 2.8 W4 L1 L2 W3  8 W6 W5 W7
Atalanta Ita 7 14 45 55 0 0 8.6 2.9  8 L6 W2 D1 W5 D3 W4 W7
Bayer Leverkusen Ger 7 13 51 46 3 0 9.6 3.9 L4 W6 L7 W2 W1 W5 D3  8
Bayern München Ger 7 12 14 68 18 0 12.3 4.0 L3 W5 W6 W4 L7 W1 L2  8
Aston Villa Eng 7 13 29 49 23 0 12.4 4.5 W6 W2 L4 D5 W1  8 L7 W3
Real Madrid Esp 7 12 14 66 20 0 12.6 4.1 L5 W3 W6 L4 L2 W7  8 W1
Feyenoord Ned 7 13 30 41 30 0 12.6 4.6 D5 W7 W3 L1  8 L4 W2 W6
Lille OSC Fra 7 13 29 39 32 0 13.0 4.7 L7 W2 W3 D4 L1  8 W5 W6
Borussia Dortmund Ger 7 12 16 55 29 0 13.3 4.4 L3 L6 W1  8 W5 W2 L7 W4
AS Monaco Fra 7 13 15 43 42 0 14.5 4.1  8 W1 L6 L5 D2 W3 W4 W7
Stade Brestois Fra 7 13 10 35 55 0 15.4 4.2 L5  8 L7 D3 W2 W6 W4 W1
Celtic Sco 7 12 2 46 52 0 15.5 4.4 L2 W4 D3 D5 D6 W7  8 W1
Juventus Ita 7 12 4 54 43 0 15.6 4.6 W2 W6 D7  8 D4 W1 D5 L3
Paris Saint-Germain Fra 7 10 0 41 52 8 18.7 3.8 L5 W7 L2 L4 W6 D3  8 W1
PSV Eindhoven Ned 7 11 0 23 77 0 19.4 3.9 D3  8 L1 W5 W7 D2 L6 W4
Club Brugge Bel 7 11 0 29 66 5 20.1 4.2  8 L1 L3 D7 D5 W6 W2 W4
Benfica Por 7 10 0 30 63 8 20.1 3.9 L4 L7  8 W2 W1 L3 W5 D6
Sporting CP Lisbon Por 7 10 0 22 69 9 20.4 3.6 L7 W4 L6 L5 D2 W1 W3  8
VfB Stuttgart Ger 7 10 0 3 62 35 23.2 2.7 L1  8 W3 L4 L5 W6 W7 D2
Manchester City Eng 7 8 0 0 43 57 23.7 2.5 L7 D1 L6  8 L4 D5 W2 W3
Dinamo Zagreb Cro 7 8 0 0 21 79 25.8 1.4 L1 L5 L7  8 W3 D6 W4 D2
Shakhtar Donetsk Ukr 7 7 0 0 1 99 26.7 0.9  8 L6 L3 L2 L5 W4 D1 W7
Bologna Ita 7 5 0 0 0 100 28.7 1.5 L2 W7 D6 D1  8 L5 L3 L4
RB Leipzig Ger 7 3 0 0 0 100 29.7 1.7 L5 L3 L1 L2 L4 W7  8 L6
Sparta Praha Cze 7 4 0 0 0 100 30.6 1.6 L3 L7  8 L5 L6 W1 D2 L4
Red Star Belgrade Srb 7 3 0 0 0 100 31.3 1.7 L2 L4 L6 L1  8 L7 L3 W5
Girona FC Esp 7 3 0 0 0 100 31.5 1.6 L1 L6 L7  8 L4 L2 L5 W3
Sturm Graz Aut 7 3 0 0 0 100 32.4 1.7 L4  8 L7 L2 L6 L3 L1 W5
FC Salzburg Aut 7 3 0 0 0 100 32.7 2.0 L7 L6 L5  8 W4 L3 L1 L2
Young Boys Sui 7 0 0 0 0 100 35.4 0.7 L2 L3 L4 L5 L7  8 L6 L1
Slovan Bratislava Svk 7 0 0 0 0 100 35.4 0.6  8 L2 L6 L5 L1 L4 L3 L7

The probability on rank class is calculated by 50.000 random sets of remaining match results. Clubs are divided into the same pots as used by the draw of the league stage. A weight factor of 2 for scoring goals is used between clubs of the highest and the lowest pots, while other clubs have a weight factor in between. The number of goals in a match result is determined by a pseudo zero-inflated Poisson distribution with an average of about 3 goals per match.


Bert Kassies
bert@kassiesa.net