Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2014-2015 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vilniaus Perlas Energija | 76.9 | 26 | 20 | 6 | 2144 | 1972 | 82.5 | 75.8 | 6.7 | 76.2 |
2 | Moletu Ezerunas-Atletas | 76.9 | 26 | 20 | 6 | 2125 | 1978 | 81.7 | 76.1 | 5.6 | 73.0 |
3 | Trakai | 61.5 | 26 | 16 | 10 | 2023 | 1893 | 77.8 | 72.8 | 5.0 | 71.6 |
4 | Suduva | 61.5 | 26 | 16 | 10 | 2057 | 1997 | 79.1 | 76.8 | 2.3 | 60.2 |
5 | Jonavos CBet | 57.7 | 26 | 15 | 11 | 1825 | 1832 | 70.2 | 70.5 | -0.3 | 48.7 |
6 | Klaipėdos Neptūnas-Akvaservis | 53.9 | 26 | 14 | 12 | 2093 | 2021 | 80.5 | 77.7 | 2.8 | 61.9 |
7 | Vytis Sakiai | 50.0 | 26 | 13 | 13 | 2016 | 1997 | 77.5 | 76.8 | 0.7 | 53.3 |
8 | Palangos Kuršiai | 50.0 | 26 | 13 | 13 | 2001 | 1983 | 77.0 | 76.3 | 0.7 | 53.1 |
9 | Delikatesas | 50.0 | 26 | 13 | 13 | 1934 | 1934 | 74.4 | 74.4 | 0.0 | 50.0 |
10 | Zalgiris Kaunas II | 46.2 | 26 | 12 | 14 | 1997 | 1968 | 76.8 | 75.7 | 1.1 | 55.1 |
11 | Rasai | 42.3 | 26 | 11 | 15 | 2049 | 2114 | 78.8 | 81.3 | -2.5 | 39.3 |
12 | Silute | 34.6 | 26 | 9 | 17 | 1894 | 1991 | 72.8 | 76.6 | -3.8 | 33.3 |
13 | Vilnius | 23.1 | 26 | 6 | 20 | 1975 | 2146 | 76.0 | 82.5 | -6.5 | 24.0 |
14 | JAZZ-Diremta | 15.4 | 26 | 4 | 22 | 1939 | 2246 | 74.6 | 86.4 | -11.8 | 11.5 |
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.