Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2021-2022 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Suduva | 84.2 | 38 | 32 | 6 | 3445 | 2723 | 90.7 | 71.7 | 19.0 | 96.3 |
2 | Telsiai | 81.6 | 38 | 31 | 7 | 3134 | 2693 | 82.5 | 70.9 | 11.6 | 89.2 |
3 | Gargzdu | 76.3 | 38 | 29 | 9 | 2919 | 2750 | 76.8 | 72.4 | 4.4 | 69.6 |
4 | Palangos Kuršiai | 60.5 | 38 | 23 | 15 | 2984 | 2901 | 78.5 | 76.3 | 2.2 | 59.7 |
5 | Vytis Sakiai | 57.9 | 38 | 22 | 16 | 3178 | 2970 | 83.6 | 78.2 | 5.4 | 71.9 |
6 | Silute | 55.3 | 38 | 21 | 17 | 3147 | 3017 | 82.8 | 79.4 | 3.4 | 64.3 |
7 | Atletas Kaunas | 50.0 | 38 | 19 | 19 | 2974 | 2927 | 78.3 | 77.0 | 1.3 | 55.5 |
8 | Zalgiris Kaunas II | 44.7 | 38 | 17 | 21 | 2735 | 2857 | 72.0 | 75.2 | -3.2 | 35.3 |
9 | Vilkaviskio Perlas | 42.1 | 38 | 16 | 22 | 3326 | 3387 | 87.5 | 89.1 | -1.6 | 43.7 |
10 | M Basket-Delamode | 36.8 | 38 | 14 | 24 | 2842 | 2967 | 74.8 | 78.1 | -3.3 | 35.5 |
11 | Klaipėdos Neptūnas-Akvaservis | 31.6 | 38 | 12 | 26 | 2725 | 2985 | 71.7 | 78.6 | -6.9 | 22.0 |
12 | Vilniaus Perlas Energija | 31.6 | 38 | 12 | 26 | 2932 | 3250 | 77.2 | 85.5 | -8.3 | 19.3 |
13 | Kretingos Kretinga | 26.3 | 38 | 10 | 28 | 2740 | 3205 | 72.1 | 84.3 | -12.2 | 10.2 |
14 | Delikatesas | 21.1 | 38 | 8 | 30 | 2945 | 3394 | 77.5 | 89.3 | -11.8 | 12.2 |
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.