Euroleague Women (W)
Standings
Euroleague Women (W) basketball (EU-1 (W))
Standings for 2020-2021 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | UMMC Ekaterinburg | 100.0 | 10 | 10 | 0 | 875 | 659 | 87.5 | 65.9 | 21.6 | 98.1 |
2 | Perfumerias Avenida | 90.0 | 10 | 9 | 1 | 815 | 646 | 81.5 | 64.6 | 16.9 | 96.2 |
3 | Sopron Basket | 70.0 | 10 | 7 | 3 | 712 | 641 | 71.2 | 64.1 | 7.1 | 81.2 |
4 | Fenerbahce Safiport | 70.0 | 10 | 7 | 3 | 781 | 707 | 78.1 | 70.7 | 7.4 | 80.0 |
5 | Lyon | 62.5 | 8 | 5 | 3 | 622 | 580 | 77.8 | 72.5 | 5.3 | 72.6 |
6 | Galatasaray (W) | 50.0 | 8 | 4 | 4 | 591 | 565 | 73.9 | 70.6 | 3.3 | 65.2 |
7 | ZVVZ USK Praha | 50.0 | 6 | 3 | 3 | 459 | 483 | 76.5 | 80.5 | -4.0 | 33.0 |
8 | Beretta Famila Schio | 50.0 | 6 | 3 | 3 | 431 | 456 | 71.8 | 76.0 | -4.2 | 31.3 |
9 | Nadezhda | 50.0 | 6 | 3 | 3 | 379 | 441 | 63.2 | 73.5 | -10.3 | 10.8 |
10 | Dynamo Kursk | 37.5 | 8 | 3 | 5 | 579 | 588 | 72.4 | 73.5 | -1.1 | 44.7 |
11 | Spar Girona | 37.5 | 8 | 3 | 5 | 603 | 618 | 75.4 | 77.3 | -1.9 | 41.5 |
12 | Bourges | 33.3 | 6 | 2 | 4 | 437 | 430 | 72.8 | 71.7 | 1.1 | 55.6 |
13 | Basket Landes | 16.7 | 6 | 1 | 5 | 366 | 479 | 61.0 | 79.8 | -18.8 | 2.3 |
14 | VBW Arka Gdynia | 0.0 | 6 | 0 | 6 | 403 | 501 | 67.2 | 83.5 | -16.3 | 4.6 |
15 | TTT Riga | 0.0 | 6 | 0 | 6 | 383 | 511 | 63.8 | 85.2 | -21.4 | 1.8 |
16 | Izmit Belediyespor | 0.0 | 6 | 0 | 6 | 377 | 508 | 62.8 | 84.7 | -21.9 | 1.6 |
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.