Spain - LF Endesa (W)
Standings
Spain - LF Endesa (W) basketball (SPA-1 (W))
Standings for 2004-2005 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Hondarribia | 76.9 | 26 | 20 | 6 | 1865 | 1640 | 71.7 | 63.1 | 8.6 | 85.7 |
2 | Perfumerias Avenida | 76.9 | 26 | 20 | 6 | 1852 | 1635 | 71.2 | 62.9 | 8.3 | 85.0 |
3 | Ros Casares | 73.1 | 26 | 19 | 7 | 1856 | 1585 | 71.4 | 61.0 | 10.4 | 90.0 |
4 | Universitat Barcelona | 69.2 | 26 | 18 | 8 | 2003 | 1694 | 77.0 | 65.2 | 11.8 | 91.1 |
5 | Celta | 57.7 | 26 | 15 | 11 | 1670 | 1643 | 64.2 | 63.2 | 1.0 | 55.6 |
6 | SPAR Gran Canaria | 53.9 | 26 | 14 | 12 | 1595 | 1647 | 61.3 | 63.3 | -2.0 | 39.0 |
7 | Estudiantes Madrid (W) | 50.0 | 26 | 13 | 13 | 1773 | 1830 | 68.2 | 70.4 | -2.2 | 39.2 |
8 | Ibiza | 42.3 | 26 | 11 | 15 | 1595 | 1658 | 61.3 | 63.8 | -2.5 | 36.8 |
9 | Burgos | 38.5 | 26 | 10 | 16 | 1619 | 1711 | 62.3 | 65.8 | -3.5 | 31.7 |
10 | Feve San Jose | 38.5 | 26 | 10 | 16 | 1608 | 1741 | 61.8 | 67.0 | -5.2 | 24.9 |
11 | Stadium Casablanca | 38.5 | 26 | 10 | 16 | 1704 | 1849 | 65.5 | 71.1 | -5.6 | 24.3 |
12 | Ensino Lugo | 30.8 | 26 | 8 | 18 | 1540 | 1686 | 59.2 | 64.8 | -5.6 | 22.1 |
13 | Extrugasa | 26.9 | 26 | 7 | 19 | 1567 | 1736 | 60.3 | 66.8 | -6.5 | 19.4 |
14 | Real Canoe | 26.9 | 26 | 7 | 19 | 1649 | 1841 | 63.4 | 70.8 | -7.4 | 17.8 |
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.