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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.

Champions League
2024/25
pld pnts probability on rank results
1-8 9-16 17-24 25-36 avg std 1 2 3 4 5 6 7 8
Borussia Dortmund Ger 2 6 74 19 6 1 6.1 5.5 W W
Liverpool Eng 2 6 68 23 8 1 7.1 6.0 W W
Juventus Ita 2 6 56 29 12 3 8.9 6.7 W W
Benfica Por 2 6 56 29 12 3 8.9 6.7 W W
Bayer Leverkusen Ger 2 6 56 29 12 3 9.0 6.7 W W
Internazionale Ita 2 4 52 30 14 4 9.8 7.1 D W
Manchester City Eng 2 4 49 31 15 5 10.2 7.2 D W
Arsenal Eng 2 4 36 34 21 9 12.6 7.8 D W
Atalanta Ita 2 4 34 34 22 10 13.0 7.9 D W
Bayern München Ger 2 3 34 33 22 11 13.1 8.0 W L
FC Barcelona Esp 2 3 33 33 22 11 13.2 8.0 L W
Real Madrid Esp 2 3 30 34 24 12 13.9 8.1 W L
Paris Saint-Germain Fra 2 3 30 34 24 12 13.9 8.1 W L
Aston Villa Eng 2 6 25 34 28 13 14.7 7.8 W W
Atlético Madrid Esp 2 3 23 32 27 18 15.9 8.4 W L
Stade Brestois Fra 2 6 20 33 31 17 16.0 7.8 W W
Club Brugge Bel 2 3 20 30 29 21 16.8 8.4 L W
Sporting CP Lisbon Por 2 4 16 29 31 24 17.6 8.2 W D
Lille OSC Fra 2 3 12 25 32 32 19.6 8.4 L W
RB Leipzig Ger 2 0 11 26 32 32 19.8 8.4 L L
AS Monaco Fra 2 4 10 24 32 34 20.1 8.2 W D
Celtic Sco 2 3 10 23 32 35 20.4 8.4 W L
Feyenoord Ned 2 3 9 21 31 39 21.1 8.3 L W
Sparta Praha Cze 2 4 8 20 32 39 21.2 8.0 W D
Shakhtar Donetsk Ukr 2 1 6 19 30 45 22.4 8.2 D L
AC Milan Ita 2 0 5 18 30 47 22.9 8.2 L L
PSV Eindhoven Ned 2 1 3 13 27 57 24.8 7.7 L D
Dinamo Zagreb Cro 2 1 3 11 24 62 25.8 7.6 L D
Red Star Belgrade Srb 2 0 2 10 23 65 26.4 7.4 L L
Bologna Ita 2 1 2 9 21 68 26.9 7.2 D L
VfB Stuttgart Ger 2 1 1 7 19 73 27.8 6.9 L D
Young Boys Sui 2 0 1 7 19 72 27.9 7.0 L L
Girona FC Esp 2 0 1 5 16 78 29.1 6.5 L L
FC Salzburg Aut 2 0 1 5 15 79 29.2 6.5 L L
Sturm Graz Aut 2 0 1 4 13 83 29.9 6.0 L L
Slovan Bratislava Svk 2 0 1 4 13 83 30.0 6.1 L L

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