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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 4 12 95 4 0 0 2.7 2.7 W3  5 W1 W4  8  7  6 W2
Internazionale Ita 4 10 80 16 3 0 5.3 4.4 D1  5  6 W4 W3 W2  7  8
Borussia Dortmund Ger 4 9 70 24 6 0 6.9 5.3 L3  6 W1  8  5 W2  7 W4
FC Barcelona Esp 4 9 69 24 7 0 7.0 5.4  6 W3  7  8 W4 W2 L1  5
Sporting CP Lisbon Por 4 10 51 35 13 0 9.2 5.8  7 W4  6  5 D2 W1 W3  8
AS Monaco Fra 4 10 37 40 23 1 11.4 6.2  8 W1  6  5 D2 W3 W4  7
Atalanta Ita 4 8 37 37 23 4 11.9 6.6  8  6 W2 D1  5 D3 W4  7
Arsenal Eng 4 7 36 37 23 5 12.0 6.8 L4 W2 D1 W3  5  7  8  6
Manchester City Eng 4 7 36 36 23 6 12.2 7.0  7 D1  6  8 L4  5 W2 W3
Stade Brestois Fra 4 10 30 41 27 2 12.5 6.2  5  8  7 D3 W2  6 W4 W1
Aston Villa Eng 4 9 27 38 30 5 13.5 6.6  6 W2 L4  5 W1  8  7 W3
Bayern München Ger 4 6 28 37 27 8 13.9 7.0 L3  5  6 W4  7 W1 L2  8
Real Madrid Esp 4 6 25 37 29 8 14.2 7.0  5 W3  6 L4 L2  7  8 W1
AC Milan Ita 4 6 24 37 30 10 14.6 7.1 W4 L1 L2 W3  8  6  5  7
Bayer Leverkusen Ger 4 7 23 37 31 10 14.6 7.1 L4  6  7 W2 W1  5 D3  8
Juventus Ita 4 7 22 36 33 10 14.9 7.0 W2  6  7  8 D4 W1  5 L3
Lille OSC Fra 4 7 17 35 35 12 15.8 7.0  7 W2 W3 D4 L1  8  5  6
Benfica Por 4 6 18 34 35 13 16.0 7.1 L4  7  8 W2 W1 L3  5  6
Celtic Sco 4 7 18 34 34 14 16.0 7.1 L2 W4 D3  5  6  7  8 W1
Atlético Madrid Esp 4 6 18 33 34 16 16.4 7.3 W4 W1 L2  7  8 L3  5  6
Club Brugge Bel 4 6 11 27 38 24 18.5 7.2  8 L1 L3  7  5  6 W2 W4
Dinamo Zagreb Cro 4 7 10 26 40 24 18.8 7.0 L1  5  7  8 W3  6 W4 D2
Paris Saint-Germain Fra 4 4 5 22 40 33 20.7 6.8  5  7 L2 L4  6 D3  8 W1
Feyenoord Ned 4 6 6 20 38 35 20.8 6.8  5  7 W3 L1  8 L4 W2  6
PSV Eindhoven Ned 4 5 5 18 38 39 21.4 6.7 D3  8 L1  5  7 D2  6 W4
Shakhtar Donetsk Ukr 4 4 2 14 35 48 23.2 6.4  8  6 L3 L2  5 W4 D1  7
VfB Stuttgart Ger 4 4 1 6 25 68 26.3 5.7 L1  8 W3 L4  5  6  7 D2
Sparta Praha Cze 4 4 0 4 19 76 27.5 5.2 L3  7  8  5  6 W1 D2 L4
RB Leipzig Ger 4 0 0 3 19 78 28.1 4.9  5 L3 L1 L2 L4  7  8  6
Girona FC Esp 4 3 0 2 13 85 29.0 4.7 L1  6  7  8 L4 L2  5 W3
FC Salzburg Aut 4 3 0 2 13 85 29.1 4.8  7  6  5  8 W4 L3 L1 L2
Young Boys Sui 4 0 0 0 5 95 31.7 3.8 L2 L3 L4  5  7  8  6 L1
Red Star Belgrade Srb 4 0 0 0 5 95 31.8 3.8 L2 L4  6 L1  8  7 L3  5
Bologna Ita 4 1 0 0 4 96 32.0 3.6 L2  7  6 D1  8  5 L3 L4
Sturm Graz Aut 4 0 0 0 3 97 32.7 3.3 L4  8  7 L2  6 L3 L1  5
Slovan Bratislava Svk 4 0 0 0 1 99 33.7 2.8  8 L2  6  5 L1 L4 L3  7

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