Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2023-2024 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Palangos Kuršiai | 84.2 | 38 | 32 | 6 | 3101 | 2740 | 81.6 | 72.1 | 9.5 | 84.8 |
2 | Telsiai | 79.0 | 38 | 30 | 8 | 3157 | 2756 | 83.1 | 72.5 | 10.6 | 86.9 |
3 | Suduva | 76.3 | 38 | 29 | 9 | 3188 | 2808 | 83.9 | 73.9 | 10.0 | 85.4 |
4 | Vilniaus Stekas | 55.3 | 38 | 21 | 17 | 2912 | 2901 | 76.6 | 76.3 | 0.3 | 51.3 |
5 | Jurbarkas-Karys | 50.0 | 38 | 19 | 19 | 3075 | 3073 | 80.9 | 80.9 | 0.0 | 50.2 |
6 | Delikatesas | 50.0 | 38 | 19 | 19 | 3103 | 3196 | 81.7 | 84.1 | -2.4 | 39.9 |
7 | Vytis Sakiai | 47.4 | 38 | 18 | 20 | 3246 | 3270 | 85.4 | 86.1 | -0.7 | 47.4 |
8 | Vilkaviskio Perlas | 47.4 | 38 | 18 | 20 | 3011 | 3104 | 79.2 | 81.7 | -2.5 | 39.6 |
9 | Zalgiris Kaunas II | 42.1 | 38 | 16 | 22 | 2814 | 2814 | 74.1 | 74.1 | 0.0 | 50.0 |
10 | Kretingos Kretinga | 42.1 | 38 | 16 | 22 | 3020 | 3157 | 79.5 | 83.1 | -3.6 | 35.0 |
11 | Atletas Kaunas | 36.8 | 38 | 14 | 24 | 2908 | 3014 | 76.5 | 79.3 | -2.8 | 37.8 |
12 | Klaipėdos Neptūnas-Akvaservis | 31.6 | 38 | 12 | 26 | 2981 | 3194 | 78.4 | 84.1 | -5.7 | 27.7 |
13 | Rytas Vilnius II | 31.6 | 38 | 12 | 26 | 3103 | 3375 | 81.7 | 88.8 | -7.1 | 23.7 |
14 | Silute | 26.3 | 38 | 10 | 28 | 2974 | 3191 | 78.3 | 84.0 | -5.7 | 27.3 |
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.