Switzerland - NLB
Standings
Switzerland - NLB basketball (SWI-2)
Standings for 2014-2015 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Swiss Central Basketball | 80.8 | 26 | 21 | 5 | 2054 | 1854 | 79.0 | 71.3 | 7.7 | 80.6 |
2 | Pully Lausanne Foxes Espoirs | 76.9 | 26 | 20 | 6 | 2061 | 1731 | 79.3 | 66.6 | 12.7 | 91.9 |
3 | Alte Kanti Aarau | 73.1 | 26 | 19 | 7 | 2011 | 1757 | 77.3 | 67.6 | 9.7 | 86.7 |
4 | Vevey Riviera Basket | 69.2 | 26 | 18 | 8 | 1911 | 1710 | 73.5 | 65.8 | 7.7 | 82.4 |
5 | Winterthur | 69.2 | 26 | 18 | 8 | 2010 | 1831 | 77.3 | 70.4 | 6.9 | 78.5 |
6 | BBC Nyon | 61.5 | 26 | 16 | 10 | 2007 | 1900 | 77.2 | 73.1 | 4.1 | 68.2 |
7 | Pully Lausanne Foxes | 53.9 | 26 | 14 | 12 | 1884 | 1842 | 72.5 | 70.8 | 1.7 | 57.8 |
8 | Goldcoast Wallabies | 50.0 | 26 | 13 | 13 | 1932 | 1914 | 74.3 | 73.6 | 0.7 | 53.3 |
9 | Meyrin Genève | 38.5 | 26 | 10 | 16 | 1906 | 1929 | 73.3 | 74.2 | -0.9 | 45.8 |
10 | Villars Basket | 34.6 | 26 | 9 | 17 | 1857 | 1960 | 71.4 | 75.4 | -4.0 | 32.1 |
11 | Bern-Giants | 34.6 | 26 | 9 | 17 | 1830 | 1963 | 70.4 | 75.5 | -5.1 | 27.4 |
12 | Martigny Basket | 23.1 | 26 | 6 | 20 | 1767 | 2037 | 68.0 | 78.3 | -10.3 | 12.2 |
13 | Chene Basket | 19.2 | 26 | 5 | 21 | 1505 | 1868 | 57.9 | 71.8 | -13.9 | 4.7 |
14 | Acad. Fribourg U23 | 15.4 | 26 | 4 | 22 | 1584 | 2023 | 60.9 | 77.8 | -16.9 | 3.2 |
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.