Spain - LF Endesa (W)
Standings
Spain - LF Endesa (W) basketball (SPA-1 (W))
Standings for 2005-2006 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Universitat Barcelona | 84.6 | 26 | 22 | 4 | 2053 | 1674 | 79.0 | 64.4 | 14.6 | 94.5 |
2 | Perfumerias Avenida | 76.9 | 26 | 20 | 6 | 1804 | 1555 | 69.4 | 59.8 | 9.6 | 88.8 |
3 | Hondarribia | 76.9 | 26 | 20 | 6 | 1785 | 1651 | 68.7 | 63.5 | 5.2 | 74.8 |
4 | Ros Casares | 73.1 | 26 | 19 | 7 | 1864 | 1631 | 71.7 | 62.7 | 9.0 | 86.5 |
5 | Feve San Jose | 69.2 | 26 | 18 | 8 | 1729 | 1643 | 66.5 | 63.2 | 3.3 | 67.0 |
6 | Burgos | 50.0 | 26 | 13 | 13 | 1641 | 1635 | 63.1 | 62.9 | 0.2 | 51.3 |
7 | SPAR Gran Canaria | 46.2 | 26 | 12 | 14 | 1719 | 1725 | 66.1 | 66.3 | -0.2 | 48.8 |
8 | Estudiantes Madrid (W) | 42.3 | 26 | 11 | 15 | 1683 | 1806 | 64.7 | 69.5 | -4.8 | 27.3 |
9 | Stadium Casablanca | 38.5 | 26 | 10 | 16 | 1731 | 1790 | 66.6 | 68.8 | -2.2 | 38.6 |
10 | Ibiza | 34.6 | 26 | 9 | 17 | 1708 | 1791 | 65.7 | 68.9 | -3.2 | 34.1 |
11 | Ensino Lugo | 34.6 | 26 | 9 | 17 | 1622 | 1789 | 62.4 | 68.8 | -6.4 | 20.4 |
12 | Celta | 26.9 | 26 | 7 | 19 | 1604 | 1748 | 61.7 | 67.2 | -5.5 | 23.2 |
13 | Cadi La Seu | 26.9 | 26 | 7 | 19 | 1622 | 1828 | 62.4 | 70.3 | -7.9 | 15.9 |
14 | BAXI Ferrol | 19.2 | 26 | 5 | 21 | 1543 | 1842 | 59.3 | 70.8 | -11.5 | 7.8 |
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.