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 | 75.0 | 52 | 39 | 13 | 4294 | 3895 | 82.6 | 74.9 | 7.7 | 79.5 |
2 | Telsiai | 73.2 | 41 | 30 | 11 | 3401 | 3012 | 83.0 | 73.5 | 9.5 | 84.4 |
3 | Suduva | 69.2 | 52 | 36 | 16 | 4246 | 3827 | 81.7 | 73.6 | 8.1 | 80.9 |
4 | Jurbarkas-Karys | 54.9 | 51 | 28 | 23 | 4250 | 4227 | 83.3 | 82.9 | 0.4 | 51.9 |
5 | Vilniaus Stekas | 53.7 | 41 | 22 | 19 | 3169 | 3134 | 77.3 | 76.4 | 0.9 | 53.9 |
6 | Delikatesas | 50.0 | 46 | 23 | 23 | 3757 | 3890 | 81.7 | 84.6 | -2.9 | 38.1 |
7 | Kretingos Kretinga | 48.1 | 52 | 25 | 27 | 4068 | 4248 | 78.2 | 81.7 | -3.5 | 35.4 |
8 | Vilkaviskio Perlas | 47.8 | 46 | 22 | 24 | 3621 | 3718 | 78.7 | 80.8 | -2.1 | 40.9 |
9 | Vytis Sakiai | 46.7 | 45 | 21 | 24 | 3931 | 3962 | 87.4 | 88.0 | -0.6 | 47.3 |
10 | Zalgiris Kaunas II | 41.5 | 41 | 17 | 24 | 3049 | 3040 | 74.4 | 74.1 | 0.3 | 51.0 |
11 | Atletas Kaunas | 36.6 | 41 | 15 | 26 | 3145 | 3260 | 76.7 | 79.5 | -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 | 30.0 | 40 | 12 | 28 | 3285 | 3573 | 82.1 | 89.3 | -7.2 | 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.