Spain - Liga Endesa basketball (SPA-1)

Standings for 2016-2017 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Real Madrid Real Madrid 78.1 32 25 7 2803 2500 87.6 78.1 9.5 83.1
2 Baskonia Vitoria-Gasteiz Baskonia Vitoria-Gasteiz 71.9 32 23 9 2697 2445 84.3 76.4 7.9 79.6
3 Valencia Basket Valencia Basket 71.9 32 23 9 2639 2398 82.5 74.9 7.6 79.1
4 FC Barcelona FC Barcelona 68.8 32 22 10 2631 2426 82.2 75.8 6.4 75.6
5 La Laguna Tenerife La Laguna Tenerife 68.8 32 22 10 2466 2277 77.1 71.2 5.9 75.2
6 Unicaja Malaga Unicaja Malaga 68.8 32 22 10 2661 2495 83.2 78.0 5.2 71.0
7 Dreamland Gran Canaria Dreamland Gran Canaria 65.6 32 21 11 2710 2438 84.7 76.2 8.5 81.3
8 MoraBanc Andorra MoraBanc Andorra 50.0 32 16 16 2611 2687 81.6 84.0 -2.4 40.2
9 UCAM Murcia UCAM Murcia 43.8 32 14 18 2558 2565 79.9 80.2 -0.3 49.0
10 Surne Bilbao Surne Bilbao 43.8 32 14 18 2472 2577 77.3 80.5 -3.2 35.9
11 Movistar Estudiantes Movistar Estudiantes 40.6 32 13 19 2611 2670 81.6 83.4 -1.8 42.3
12 Fuenlabrada Fuenlabrada 37.5 32 12 20 2462 2714 76.9 84.8 -7.9 20.5
13 Joventut Badalona Joventut Badalona 34.4 32 11 21 2434 2538 76.1 79.3 -3.2 35.8
14 Monbus Obradoiro Monbus Obradoiro 34.4 32 11 21 2439 2626 76.2 82.1 -5.9 26.4
15 Casademont Zaragoza (M) Casademont Zaragoza (M) 28.1 32 9 23 2534 2710 79.2 84.7 -5.5 28.2
16 Real Betis Real Betis 28.1 32 9 23 2432 2683 76.0 83.8 -7.8 20.3
17 BAXI Manresa BAXI Manresa 15.6 32 5 27 2374 2785 74.2 87.0 -12.8 9.8

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.