Euroleague Women (W)
Standings
Euroleague Women (W) basketball (EU-1 (W))
Standings for 2016-2017 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dynamo Kursk | 100.0 | 18 | 18 | 0 | 1440 | 1162 | 80.0 | 64.6 | 15.4 | 95.2 |
2 | UMMC Ekaterinburg | 88.9 | 18 | 16 | 2 | 1513 | 1147 | 84.1 | 63.7 | 20.4 | 97.9 |
3 | Fenerbahce Safiport | 73.7 | 19 | 14 | 5 | 1374 | 1278 | 72.3 | 67.3 | 5.0 | 73.3 |
4 | Nadezhda | 64.7 | 17 | 11 | 6 | 1126 | 1072 | 66.2 | 63.1 | 3.1 | 66.5 |
5 | ZVVZ USK Praha | 57.9 | 19 | 11 | 8 | 1357 | 1249 | 71.4 | 65.7 | 5.7 | 76.0 |
6 | Lattes Montpellier | 50.0 | 14 | 7 | 7 | 869 | 917 | 62.1 | 65.5 | -3.4 | 32.1 |
7 | Hatay BSB | 50.0 | 14 | 7 | 7 | 912 | 1005 | 65.1 | 71.8 | -6.7 | 20.6 |
8 | Perfumerias Avenida | 47.1 | 17 | 8 | 9 | 1223 | 1169 | 71.9 | 68.8 | 3.1 | 65.2 |
9 | Beretta Famila Schio | 43.8 | 16 | 7 | 9 | 1126 | 1123 | 70.4 | 70.2 | 0.2 | 50.9 |
10 | Bourges | 43.8 | 16 | 7 | 9 | 1072 | 1108 | 67.0 | 69.3 | -2.3 | 38.7 |
11 | Villeneuve d'Ascq | 42.9 | 14 | 6 | 8 | 969 | 1004 | 69.2 | 71.7 | -2.5 | 37.9 |
12 | Wisla Can-Pack | 35.7 | 14 | 5 | 9 | 950 | 1009 | 67.9 | 72.1 | -4.2 | 30.2 |
13 | Sopron Basket | 28.6 | 14 | 4 | 10 | 975 | 1087 | 69.6 | 77.6 | -8.0 | 18.1 |
14 | Mersin | 14.3 | 14 | 2 | 12 | 906 | 1044 | 64.7 | 74.6 | -9.9 | 12.2 |
15 | KGHM BC Polkowice | 14.3 | 14 | 2 | 12 | 863 | 1008 | 61.6 | 72.0 | -10.4 | 10.3 |
16 | Serco UNI Gyor | 7.1 | 14 | 1 | 13 | 783 | 1076 | 55.9 | 76.9 | -21.0 | 1.2 |
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.