Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2020-2021 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonavos CBet | 85.7 | 28 | 24 | 4 | 2568 | 2148 | 91.7 | 76.7 | 15.0 | 92.3 |
2 | Vytis Sakiai | 75.0 | 28 | 21 | 7 | 2438 | 2121 | 87.1 | 75.8 | 11.3 | 87.4 |
3 | Suduva | 71.4 | 28 | 20 | 8 | 2322 | 1943 | 82.9 | 69.4 | 13.5 | 92.3 |
4 | Telsiai | 71.4 | 28 | 20 | 8 | 2302 | 1968 | 82.2 | 70.3 | 11.9 | 89.8 |
5 | Gargzdu | 64.3 | 28 | 18 | 10 | 2274 | 2151 | 81.2 | 76.8 | 4.4 | 68.4 |
6 | Zalgiris Kaunas II | 64.3 | 28 | 18 | 10 | 2270 | 2236 | 81.1 | 79.9 | 1.2 | 55.2 |
7 | Palangos Kuršiai | 57.1 | 28 | 16 | 12 | 2257 | 2145 | 80.6 | 76.6 | 4.0 | 67.0 |
8 | Silute | 50.0 | 28 | 14 | 14 | 2213 | 2245 | 79.0 | 80.2 | -1.2 | 45.0 |
9 | Vilkaviskio Perlas | 46.4 | 28 | 13 | 15 | 2271 | 2316 | 81.1 | 82.7 | -1.6 | 43.2 |
10 | Vilniaus Perlas Energija | 35.7 | 28 | 10 | 18 | 2272 | 2410 | 81.1 | 86.1 | -5.0 | 30.6 |
11 | Klaipėdos Neptūnas-Akvaservis | 35.7 | 28 | 10 | 18 | 2043 | 2174 | 73.0 | 77.6 | -4.6 | 29.6 |
12 | Moletu Ezerunas-Atletas | 35.7 | 28 | 10 | 18 | 2113 | 2332 | 75.5 | 83.3 | -7.8 | 20.2 |
13 | Delikatesas | 25.0 | 28 | 7 | 21 | 1927 | 2350 | 68.8 | 83.9 | -15.1 | 5.9 |
14 | M Basket-Delamode | 21.4 | 28 | 6 | 22 | 2194 | 2597 | 78.4 | 92.8 | -14.4 | 8.7 |
15 | Silales Lusis | 10.7 | 28 | 3 | 25 | 1945 | 2273 | 69.5 | 81.2 | -11.7 | 10.3 |
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.