Spain - LF Endesa (W)
Standings
Spain - LF Endesa (W) basketball (SPA-1 (W))
Standings for 2003-2004 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ros Casares | 92.3 | 26 | 24 | 2 | 2061 | 1517 | 79.3 | 58.3 | 21.0 | 98.6 |
2 | Universitat Barcelona | 84.6 | 26 | 22 | 4 | 2079 | 1798 | 80.0 | 69.2 | 10.8 | 88.3 |
3 | Hondarribia | 57.7 | 26 | 15 | 11 | 1844 | 1755 | 70.9 | 67.5 | 3.4 | 66.6 |
4 | Celta | 57.7 | 26 | 15 | 11 | 1711 | 1691 | 65.8 | 65.0 | 0.8 | 54.1 |
5 | Ensino Lugo | 57.7 | 26 | 15 | 11 | 1686 | 1691 | 64.8 | 65.0 | -0.2 | 49.0 |
6 | Perfumerias Avenida | 50.0 | 26 | 13 | 13 | 1844 | 1784 | 70.9 | 68.6 | 2.3 | 61.3 |
7 | Stadium Casablanca | 50.0 | 26 | 13 | 13 | 1883 | 1830 | 72.4 | 70.4 | 2.0 | 59.8 |
8 | Estudiantes Madrid (W) | 50.0 | 26 | 13 | 13 | 1776 | 1863 | 68.3 | 71.7 | -3.4 | 34.0 |
9 | SPAR Gran Canaria | 46.2 | 26 | 12 | 14 | 1855 | 1829 | 71.3 | 70.3 | 1.0 | 54.9 |
10 | Extrugasa | 42.3 | 26 | 11 | 15 | 1695 | 1813 | 65.2 | 69.7 | -4.5 | 28.2 |
11 | Burgos | 34.6 | 26 | 9 | 17 | 1744 | 1939 | 67.1 | 74.6 | -7.5 | 18.6 |
12 | Ibiza | 30.8 | 26 | 8 | 18 | 1656 | 1906 | 63.7 | 73.3 | -9.6 | 12.4 |
13 | Cadi La Seu | 26.9 | 26 | 7 | 19 | 1804 | 1992 | 69.4 | 76.6 | -7.2 | 20.1 |
14 | Rivas Ecopolis | 19.2 | 26 | 5 | 21 | 1796 | 2026 | 69.1 | 77.9 | -8.8 | 15.8 |
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.