Spain - Liga Endesa
Standings
Spain - Liga Endesa basketball (SPA-1)
Standings for 1981-1982 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Real Madrid | 96.2 | 26 | 25 | 1 | 2917 | 2253 | 112.2 | 86.7 | 25.5 | 97.3 |
2 | FC Barcelona | 92.3 | 26 | 24 | 2 | 2818 | 2204 | 108.4 | 84.8 | 23.6 | 96.8 |
3 | Cotonificio de Badalona | 76.9 | 26 | 20 | 6 | 2565 | 2203 | 98.7 | 84.7 | 14.0 | 89.2 |
4 | Real Valladolid | 61.5 | 26 | 16 | 10 | 2509 | 2440 | 96.5 | 93.8 | 2.7 | 59.6 |
5 | C.B. Zaragoza | 57.7 | 26 | 15 | 11 | 2539 | 2433 | 97.7 | 93.6 | 4.1 | 64.4 |
6 | Joventut Badalona | 57.7 | 26 | 15 | 11 | 2437 | 2362 | 93.7 | 90.8 | 2.9 | 60.7 |
7 | BAXI Manresa | 50.0 | 26 | 13 | 13 | 2262 | 2371 | 87.0 | 91.2 | -4.2 | 34.2 |
8 | OAR Ferrol | 46.2 | 26 | 12 | 14 | 2284 | 2258 | 87.8 | 86.8 | 1.0 | 54.0 |
9 | Granollers | 42.3 | 26 | 11 | 15 | 2340 | 2293 | 90.0 | 88.2 | 1.8 | 57.0 |
10 | Movistar Estudiantes | 42.3 | 26 | 11 | 15 | 2207 | 2446 | 84.9 | 94.1 | -9.2 | 19.3 |
11 | Unicaja Malaga | 38.5 | 26 | 10 | 16 | 2104 | 2185 | 80.9 | 84.0 | -3.1 | 37.2 |
12 | Lenovo Tenerife | 23.1 | 26 | 6 | 20 | 2422 | 2696 | 93.2 | 103.7 | -10.5 | 18.4 |
13 | Salle Barcelona | 11.5 | 26 | 3 | 23 | 2028 | 2736 | 78.0 | 105.2 | -27.2 | 1.5 |
14 | Tenerife | 3.9 | 26 | 1 | 25 | 2081 | 2633 | 80.0 | 101.3 | -21.3 | 3.7 |
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.