Euroleague Women (W) basketball (EU-1 (W))

Standings for 2017-2018 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Dynamo Kursk Dynamo Kursk 94.4 18 17 1 1528 1207 84.9 67.1 17.8 96.4
2 UMMC Ekaterinburg UMMC Ekaterinburg 83.3 18 15 3 1383 1096 76.8 60.9 15.9 96.2
3 Yakin Dogu Universitesi Yakin Dogu Universitesi 77.8 18 14 4 1400 1219 77.8 67.7 10.1 87.3
4 Sopron Basket Sopron Basket 68.4 19 13 6 1335 1255 70.3 66.1 4.2 70.3
5 Fenerbahce Safiport Fenerbahce Safiport 64.7 17 11 6 1164 1159 68.5 68.2 0.3 51.5
6 Perfumerias Avenida Perfumerias Avenida 50.0 14 7 7 846 834 60.4 59.6 0.8 55.0
7 ZVVZ USK Praha ZVVZ USK Praha 50.0 16 8 8 1139 1190 71.2 74.4 -3.2 35.2
8 Beretta Famila Schio Beretta Famila Schio 43.8 16 7 9 1035 1025 64.7 64.1 0.6 53.4
9 Bourges Bourges 43.8 16 7 9 1092 1116 68.3 69.8 -1.5 42.5
10 Galatasaray (W) Galatasaray (W) 42.9 14 6 8 980 1088 70.0 77.7 -7.7 18.9
11 Villeneuve d'Ascq Villeneuve d'Ascq 35.7 14 5 9 904 990 64.6 70.7 -6.1 22.0
12 Wisla Can-Pack Wisla Can-Pack 28.6 14 4 10 928 974 66.3 69.6 -3.3 33.8
13 Nadezhda Nadezhda 28.6 14 4 10 935 1017 66.8 72.6 -5.8 23.7
14 KGHM BC Polkowice KGHM BC Polkowice 21.4 14 3 11 952 1041 68.0 74.4 -6.4 22.4
15 Royal Castors Braine Royal Castors Braine 21.4 14 3 11 949 1044 67.8 74.6 -6.8 21.0
16 Lattes Montpellier Lattes Montpellier 7.1 14 1 13 807 1122 57.6 80.1 -22.5 1.0

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.