Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2015-2016 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Suduva | 84.6 | 26 | 22 | 4 | 2323 | 1855 | 89.3 | 71.3 | 18.0 | 95.8 |
2 | M Basket-Delamode | 80.8 | 26 | 21 | 5 | 2028 | 1782 | 78.0 | 68.5 | 9.5 | 85.8 |
3 | Vytis Sakiai | 73.1 | 26 | 19 | 7 | 2177 | 2030 | 83.7 | 78.1 | 5.6 | 72.6 |
4 | Vilniaus Perlas Energija | 61.5 | 26 | 16 | 10 | 2000 | 1865 | 76.9 | 71.7 | 5.2 | 72.6 |
5 | Palangos Kuršiai | 57.7 | 26 | 15 | 11 | 2010 | 2043 | 77.3 | 78.6 | -1.3 | 44.4 |
6 | Zalgiris Kaunas II | 53.9 | 26 | 14 | 12 | 1985 | 1873 | 76.3 | 72.0 | 4.3 | 69.2 |
7 | Telsiai | 50.0 | 26 | 13 | 13 | 1846 | 1843 | 71.0 | 70.9 | 0.1 | 50.6 |
8 | Jonavos CBet | 46.2 | 26 | 12 | 14 | 1950 | 1966 | 75.0 | 75.6 | -0.6 | 47.2 |
9 | Klaipėdos Neptūnas-Akvaservis | 42.3 | 26 | 11 | 15 | 1986 | 2058 | 76.4 | 79.2 | -2.8 | 37.9 |
10 | Silute | 42.3 | 26 | 11 | 15 | 2047 | 2124 | 78.7 | 81.7 | -3.0 | 37.4 |
11 | Delikatesas | 34.6 | 26 | 9 | 17 | 1871 | 1946 | 72.0 | 74.8 | -2.8 | 36.7 |
12 | Rasai | 30.8 | 26 | 8 | 18 | 2027 | 2245 | 78.0 | 86.3 | -8.3 | 19.5 |
13 | Moletu Ezerunas-Atletas | 30.8 | 26 | 8 | 18 | 1737 | 1993 | 66.8 | 76.7 | -9.9 | 12.9 |
14 | Lietkabelis II | 11.5 | 26 | 3 | 23 | 1685 | 2049 | 64.8 | 78.8 | -14.0 | 6.2 |
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.