Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2010-2011 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pieno Zvaigzdes | 97.6 | 42 | 41 | 1 | 3812 | 2998 | 90.8 | 71.4 | 19.4 | 96.6 |
2 | Radviliskis | 64.3 | 42 | 27 | 15 | 3054 | 2862 | 72.7 | 68.1 | 4.6 | 71.2 |
3 | M Basket-Delamode | 61.9 | 42 | 26 | 16 | 3389 | 3138 | 80.7 | 74.7 | 6.0 | 74.5 |
4 | Meresta | 61.9 | 42 | 26 | 16 | 3192 | 3033 | 76.0 | 72.2 | 3.8 | 67.1 |
5 | Atletas Kaunas | 54.8 | 42 | 23 | 19 | 3291 | 3167 | 78.4 | 75.4 | 3.0 | 63.0 |
6 | Zalgiris Kaunas II | 52.4 | 42 | 22 | 20 | 3213 | 3269 | 76.5 | 77.8 | -1.3 | 44.0 |
7 | Klaipėdos Neptūnas-Akvaservis | 50.0 | 42 | 21 | 21 | 3030 | 3108 | 72.1 | 74.0 | -1.9 | 41.3 |
8 | Vilnius-MRU | 42.9 | 42 | 18 | 24 | 3096 | 3291 | 73.7 | 78.4 | -4.7 | 30.0 |
9 | Jonavos CBet | 42.5 | 40 | 17 | 23 | 2874 | 2956 | 71.9 | 73.9 | -2.0 | 40.3 |
10 | Erelita | 40.0 | 40 | 16 | 24 | 2833 | 2932 | 70.8 | 73.3 | -2.5 | 38.3 |
11 | Silute | 40.0 | 40 | 16 | 24 | 3040 | 3160 | 76.0 | 79.0 | -3.0 | 36.9 |
12 | Akademija Vilnius | 40.0 | 40 | 16 | 24 | 2929 | 3225 | 73.2 | 80.6 | -7.4 | 20.8 |
13 | Abro-Universitetas | 35.0 | 40 | 14 | 26 | 2918 | 3047 | 73.0 | 76.2 | -3.2 | 35.4 |
14 | Delikatesas | 35.0 | 40 | 14 | 26 | 2933 | 3102 | 73.3 | 77.6 | -4.3 | 31.4 |
15 | Puntukas | 27.5 | 40 | 11 | 29 | 2888 | 3204 | 72.2 | 80.1 | -7.9 | 19.1 |
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.