Switzerland - NLB
Standings
Switzerland - NLB basketball (SWI-2)
Standings for 2013-2014 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alte Kanti Aarau | 88.5 | 26 | 23 | 3 | 2143 | 1701 | 82.4 | 65.4 | 17.0 | 96.1 |
2 | Pully Lausanne Foxes Espoirs | 73.1 | 26 | 19 | 7 | 2009 | 1695 | 77.3 | 65.2 | 12.1 | 91.4 |
3 | Vevey Riviera Basket | 73.1 | 26 | 19 | 7 | 1784 | 1559 | 68.6 | 60.0 | 8.6 | 86.7 |
4 | Swiss Central Basketball | 65.4 | 26 | 17 | 9 | 1980 | 1842 | 76.2 | 70.8 | 5.4 | 73.2 |
5 | Goldcoast Wallabies | 57.7 | 26 | 15 | 11 | 2002 | 1871 | 77.0 | 72.0 | 5.0 | 71.9 |
6 | Pully Lausanne Foxes | 53.9 | 26 | 14 | 12 | 1866 | 1855 | 71.8 | 71.3 | 0.5 | 52.1 |
7 | BBC Nyon | 53.9 | 26 | 14 | 12 | 1912 | 1943 | 73.5 | 74.7 | -1.2 | 44.4 |
8 | Meyrin Genève | 46.2 | 26 | 12 | 14 | 1808 | 1872 | 69.5 | 72.0 | -2.5 | 38.1 |
9 | Bern-Giants | 38.5 | 26 | 10 | 16 | 1789 | 1885 | 68.8 | 72.5 | -3.7 | 32.6 |
10 | Winterthur | 38.5 | 26 | 10 | 16 | 1697 | 1812 | 65.3 | 69.7 | -4.4 | 28.7 |
11 | Villars Basket | 38.5 | 26 | 10 | 16 | 1748 | 1908 | 67.2 | 73.4 | -6.2 | 22.8 |
12 | Martigny Basket | 34.6 | 26 | 9 | 17 | 1760 | 1940 | 67.7 | 74.6 | -6.9 | 20.5 |
13 | Acad. Fribourg U23 | 26.9 | 26 | 7 | 19 | 1616 | 1835 | 62.2 | 70.6 | -8.4 | 14.6 |
14 | Blonay | 11.5 | 26 | 3 | 23 | 1639 | 2035 | 63.0 | 78.3 | -15.3 | 4.7 |
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.