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

Standings for 2023-2024 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Fenerbahce Safiport Fenerbahce Safiport 88.9 18 16 2 1564 1220 86.9 67.8 19.1 96.9
2 ZVVZ USK Praha ZVVZ USK Praha 79.0 19 15 4 1442 1252 75.9 65.9 10.0 87.7
3 Casademont Zaragoza Casademont Zaragoza 58.8 17 10 7 1125 1096 66.2 64.5 1.7 59.0
4 Beretta Famila Schio Beretta Famila Schio 58.8 17 10 7 1183 1164 69.6 68.5 1.1 55.6
5 DVTK Hun Therm DVTK Hun Therm 58.8 17 10 7 1122 1118 66.0 65.8 0.2 51.2
6 Villeneuve d'Ascq Villeneuve d'Ascq 57.9 19 11 8 1402 1364 73.8 71.8 2.0 59.4
7 CBK Mersin Yenisehir CBK Mersin Yenisehir 57.9 19 11 8 1329 1314 69.9 69.2 0.7 53.9
8 Valencia Valencia 57.1 14 8 6 991 937 70.8 66.9 3.9 68.6
9 Perfumerias Avenida Perfumerias Avenida 50.0 16 8 8 1101 1093 68.8 68.3 0.5 52.5
10 Virtus Segafredo Bologna Virtus Segafredo Bologna 50.0 14 7 7 995 999 71.1 71.4 -0.3 48.6
11 KGHM BC Polkowice KGHM BC Polkowice 42.9 14 6 8 1026 1070 73.3 76.4 -3.1 35.8
12 Lyon Lyon 35.7 14 5 9 1021 1079 72.9 77.1 -4.2 31.7
13 Basket Landes Basket Landes 28.6 14 4 10 956 1032 68.3 73.7 -5.4 25.7
14 Serco UNI Gyor Serco UNI Gyor 14.3 14 2 12 1000 1110 71.4 79.3 -7.9 19.0
15 ACS Sepsi-SIC ACS Sepsi-SIC 14.3 14 2 12 923 1108 65.9 79.1 -13.2 7.3
16 Polski Cukier AZS UMCS Lublin Polski Cukier AZS UMCS Lublin 14.3 14 2 12 806 1030 57.6 73.6 -16.0 3.2

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.