Switzerland - NLB
Standings
Switzerland - NLB basketball (SWI-2)
Standings for 2023-2024 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Villars Basket | 76.9 | 26 | 20 | 6 | 1974 | 1775 | 75.9 | 68.3 | 7.6 | 81.4 |
2 | Lions de Genève U23 | 73.9 | 23 | 17 | 6 | 1937 | 1715 | 84.2 | 74.6 | 9.6 | 84.5 |
3 | Morges-Saint-Prex | 73.1 | 26 | 19 | 7 | 2163 | 1892 | 83.2 | 72.8 | 10.4 | 86.6 |
4 | Baren Kleinbasel | 68.0 | 25 | 17 | 8 | 1846 | 1744 | 73.8 | 69.8 | 4.0 | 68.8 |
5 | Swiss Central Basketball | 66.7 | 24 | 16 | 8 | 1836 | 1653 | 76.5 | 68.9 | 7.6 | 81.2 |
6 | GC Zurich Wildcats | 64.0 | 25 | 16 | 9 | 1828 | 1725 | 73.1 | 69.0 | 4.1 | 69.1 |
7 | Goldcoast Wallabies | 56.5 | 23 | 13 | 10 | 1805 | 1736 | 78.5 | 75.5 | 3.0 | 63.2 |
8 | Winterthur | 44.0 | 25 | 11 | 14 | 1968 | 1981 | 78.7 | 79.2 | -0.5 | 47.7 |
9 | Vevey Riviera Basket U23 | 36.0 | 25 | 9 | 16 | 1684 | 1885 | 67.4 | 75.4 | -8.0 | 17.2 |
10 | CNB Suisse | 34.6 | 26 | 9 | 17 | 1898 | 1984 | 73.0 | 76.3 | -3.3 | 35.1 |
11 | Bernex | 34.6 | 26 | 9 | 17 | 1874 | 1978 | 72.1 | 76.1 | -4.0 | 32.1 |
12 | Acad. Fribourg U23 | 32.0 | 25 | 8 | 17 | 1709 | 1854 | 68.4 | 74.2 | -5.8 | 24.4 |
13 | Union Lavaux Riviera | 20.0 | 25 | 5 | 20 | 1659 | 1990 | 66.4 | 79.6 | -13.2 | 7.4 |
14 | BC Allschwil | 18.2 | 22 | 4 | 18 | 1504 | 1773 | 68.4 | 80.6 | -12.2 | 9.2 |
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.