Euroleague Women (W)
Standings
Euroleague Women (W) basketball (EU-1 (W))
Standings for 2019-2020 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | UMMC Ekaterinburg | 92.9 | 14 | 13 | 1 | 1258 | 853 | 89.9 | 60.9 | 29.0 | 99.6 |
2 | ZVVZ USK Praha | 85.7 | 14 | 12 | 2 | 1199 | 846 | 85.6 | 60.4 | 25.2 | 99.2 |
3 | Fenerbahce Safiport | 80.0 | 15 | 12 | 3 | 1087 | 913 | 72.5 | 60.9 | 11.6 | 91.9 |
4 | Nadezhda | 66.7 | 15 | 10 | 5 | 1018 | 989 | 67.9 | 65.9 | 2.0 | 59.9 |
5 | Beretta Famila Schio | 57.1 | 14 | 8 | 6 | 794 | 793 | 56.7 | 56.6 | 0.1 | 50.4 |
6 | Lyon | 53.3 | 15 | 8 | 7 | 1098 | 1064 | 73.2 | 70.9 | 2.3 | 60.8 |
7 | Bourges | 53.3 | 15 | 8 | 7 | 1044 | 1045 | 69.6 | 69.7 | -0.1 | 49.7 |
8 | Lattes Montpellier | 50.0 | 14 | 7 | 7 | 969 | 980 | 69.2 | 70.0 | -0.8 | 46.1 |
9 | Dynamo Kursk | 50.0 | 14 | 7 | 7 | 957 | 993 | 68.4 | 70.9 | -2.5 | 37.4 |
10 | Spar Girona | 42.9 | 14 | 6 | 8 | 904 | 913 | 64.6 | 65.2 | -0.6 | 46.6 |
11 | Sopron Basket | 42.9 | 14 | 6 | 8 | 803 | 846 | 57.4 | 60.4 | -3.0 | 32.6 |
12 | Umana Reyer Venice (W) | 35.7 | 14 | 5 | 9 | 800 | 961 | 57.1 | 68.6 | -11.5 | 7.2 |
13 | TTT Riga | 21.4 | 14 | 3 | 11 | 866 | 959 | 61.9 | 68.5 | -6.6 | 19.5 |
14 | VBW Arka Gdynia | 21.4 | 14 | 3 | 11 | 926 | 1029 | 66.1 | 73.5 | -7.4 | 18.7 |
15 | Royal Castors Braine | 21.4 | 14 | 3 | 11 | 924 | 1073 | 66.0 | 76.6 | -10.6 | 11.1 |
16 | Gelecek Koleji Cukurova | 21.4 | 14 | 3 | 11 | 787 | 1177 | 56.2 | 84.1 | -27.9 | 0.4 |
Standings glossary
Stats abbreviations
- Rk: rank
- % Victory: number of win / number of games played
- Gp: number of games played
- Gw: number of games won
- GL: number of games lost
- Pts+: total number of points scored by the team
- Pts-: total number of points scored by opposing teams
- Pts+ /g: total number of points scored by the team per game
- Pts- /g: total number of points scored by opposing teams per game
- Diff: difference between points scored and received per game
- Expected Winning %: through our basketball statistical database and the use of advanced stats, we are able to project a team’s win percentage which then allows us to project how many wins a team is expected to have. These projections are a unique way to understand whether a team has played better or worse than their record indicates.