Spain - LF Endesa (W)
Standings
Spain - LF Endesa (W) basketball (SPA-1 (W))
Standings for 2006-2007 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ros Casares | 88.5 | 26 | 23 | 3 | 2020 | 1634 | 77.7 | 62.8 | 14.9 | 95.0 |
2 | Perfumerias Avenida | 65.4 | 26 | 17 | 9 | 1752 | 1637 | 67.4 | 63.0 | 4.4 | 72.0 |
3 | Burgos | 65.4 | 26 | 17 | 9 | 1826 | 1724 | 70.2 | 66.3 | 3.9 | 69.0 |
4 | Hondarribia | 61.5 | 26 | 16 | 10 | 1655 | 1602 | 63.7 | 61.6 | 2.1 | 61.1 |
5 | Universitat Barcelona | 57.7 | 26 | 15 | 11 | 1927 | 1802 | 74.1 | 69.3 | 4.8 | 71.8 |
6 | Extrugasa | 57.7 | 26 | 15 | 11 | 1779 | 1756 | 68.4 | 67.5 | 0.9 | 54.5 |
7 | Rivas Ecopolis | 50.0 | 26 | 13 | 13 | 1906 | 1886 | 73.3 | 72.5 | 0.8 | 53.7 |
8 | SPAR Gran Canaria | 50.0 | 26 | 13 | 13 | 1780 | 1769 | 68.5 | 68.0 | 0.5 | 52.2 |
9 | Feve San Jose | 50.0 | 26 | 13 | 13 | 1775 | 1811 | 68.3 | 69.7 | -1.4 | 43.1 |
10 | Ibiza | 46.2 | 26 | 12 | 14 | 1841 | 1854 | 70.8 | 71.3 | -0.5 | 47.6 |
11 | Stadium Casablanca | 38.5 | 26 | 10 | 16 | 1863 | 1985 | 71.7 | 76.3 | -4.6 | 29.3 |
12 | Celta | 30.8 | 26 | 8 | 18 | 1590 | 1737 | 61.2 | 66.8 | -5.6 | 22.6 |
13 | Estudiantes Madrid (W) | 23.1 | 26 | 6 | 20 | 1636 | 1903 | 62.9 | 73.2 | -10.3 | 10.9 |
14 | Ensino Lugo | 15.4 | 26 | 4 | 22 | 1705 | 1955 | 65.6 | 75.2 | -9.6 | 13.0 |
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.