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 | Lions de Genève U23 | 76.9 | 26 | 20 | 6 | 2207 | 1917 | 84.9 | 73.7 | 11.2 | 87.6 |
2 | Villars Basket | 76.9 | 26 | 20 | 6 | 1974 | 1775 | 75.9 | 68.3 | 7.6 | 81.4 |
3 | Morges-Saint-Prex | 73.1 | 26 | 19 | 7 | 2163 | 1892 | 83.2 | 72.8 | 10.4 | 86.6 |
4 | Baren Kleinbasel | 69.2 | 26 | 18 | 8 | 1930 | 1810 | 74.2 | 69.6 | 4.6 | 70.9 |
5 | GC Zurich Wildcats | 65.4 | 26 | 17 | 9 | 1892 | 1784 | 72.8 | 68.6 | 4.2 | 69.4 |
6 | Swiss Central Basketball | 61.5 | 26 | 16 | 10 | 1972 | 1814 | 75.8 | 69.8 | 6.0 | 76.2 |
7 | Goldcoast Wallabies | 53.9 | 26 | 14 | 12 | 2008 | 1972 | 77.2 | 75.8 | 1.4 | 56.3 |
8 | Winterthur | 46.2 | 26 | 12 | 14 | 2036 | 2037 | 78.3 | 78.3 | 0.0 | 49.8 |
9 | CNB Suisse | 34.6 | 26 | 9 | 17 | 1898 | 1984 | 73.0 | 76.3 | -3.3 | 35.1 |
10 | Bernex | 34.6 | 26 | 9 | 17 | 1874 | 1978 | 72.1 | 76.1 | -4.0 | 32.1 |
11 | Vevey Riviera Basket U23 | 34.6 | 26 | 9 | 17 | 1740 | 1953 | 66.9 | 75.1 | -8.2 | 16.7 |
12 | Acad. Fribourg U23 | 30.8 | 26 | 8 | 18 | 1783 | 1921 | 68.6 | 73.9 | -5.3 | 26.2 |
13 | BC Allschwil | 19.2 | 26 | 5 | 21 | 1759 | 2058 | 67.7 | 79.2 | -11.5 | 10.1 |
14 | Union Lavaux Riviera | 19.2 | 26 | 5 | 21 | 1735 | 2076 | 66.7 | 79.8 | -13.1 | 7.6 |
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.