Spain - Liga Endesa basketball (SPA-1)

Standings for 2000-2001 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 FC Barcelona FC Barcelona 85.3 34 29 5 3055 2613 89.9 76.9 13.0 89.8
2 Baskonia Vitoria-Gasteiz Baskonia Vitoria-Gasteiz 79.4 34 27 7 2888 2452 84.9 72.1 12.8 90.7
3 Unicaja Malaga Unicaja Malaga 79.4 34 27 7 2883 2582 84.8 75.9 8.9 82.3
4 Real Madrid Real Madrid 79.4 34 27 7 2788 2519 82.0 74.1 7.9 80.4
5 Valencia Basket Valencia Basket 64.7 34 22 12 2760 2622 81.2 77.1 4.1 67.1
6 Movistar Estudiantes Movistar Estudiantes 61.8 34 21 13 2767 2698 81.4 79.4 2.0 58.7
7 Fuenlabrada Fuenlabrada 58.8 34 20 14 2752 2669 80.9 78.5 2.4 60.5
8 Real Valladolid Real Valladolid 47.1 34 16 18 2759 2795 81.1 82.2 -1.1 45.5
9 Girona FC Girona FC 44.1 34 15 19 2733 2797 80.4 82.3 -1.9 42.0
10 Caceres Caceres 41.2 34 14 20 2650 2732 77.9 80.4 -2.5 39.6
11 Real Betis Real Betis 38.2 34 13 21 2605 2642 76.6 77.7 -1.1 45.1
12 Rio Breogan Rio Breogan 38.2 34 13 21 2669 2722 78.5 80.1 -1.6 43.2
13 Dreamland Gran Canaria Dreamland Gran Canaria 35.3 34 12 22 2591 2808 76.2 82.6 -6.4 24.6
14 Joventut Badalona Joventut Badalona 32.4 34 11 23 2692 2820 79.2 82.9 -3.7 34.4
15 Gijon Gijon 32.4 34 11 23 2643 2823 77.7 83.0 -5.3 28.6
16 Alerta Cantabria Alerta Cantabria 29.4 34 10 24 2484 2894 73.1 85.1 -12.0 10.7
17 Ourense Ourense 26.5 34 9 25 2630 2869 77.4 84.4 -7.0 23.0
18 HLA Alicante HLA Alicante 26.5 34 9 25 2554 2846 75.1 83.7 -8.6 18.2

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.