Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vytis Sakiai | 76.2 | 42 | 32 | 10 | 3746 | 3444 | 89.2 | 82.0 | 7.2 | 76.3 |
2 | Suduva | 71.4 | 42 | 30 | 12 | 3475 | 3203 | 82.7 | 76.3 | 6.4 | 75.7 |
3 | Palangos Kuršiai | 61.9 | 42 | 26 | 16 | 3556 | 3438 | 84.7 | 81.9 | 2.8 | 61.5 |
4 | Telsiai | 59.5 | 42 | 25 | 17 | 3492 | 3323 | 83.1 | 79.1 | 4.0 | 66.6 |
5 | Gargzdu | 55.0 | 40 | 22 | 18 | 3290 | 3114 | 82.3 | 77.9 | 4.4 | 68.2 |
6 | Silute | 52.4 | 42 | 22 | 20 | 3615 | 3599 | 86.1 | 85.7 | 0.4 | 51.5 |
7 | Vilniaus Perlas Energija | 50.0 | 42 | 21 | 21 | 3514 | 3467 | 83.7 | 82.5 | 1.2 | 54.7 |
8 | Delikatesas | 50.0 | 42 | 21 | 21 | 3515 | 3497 | 83.7 | 83.3 | 0.4 | 51.8 |
9 | Klaipėdos Neptūnas-Akvaservis | 47.6 | 42 | 20 | 22 | 3388 | 3422 | 80.7 | 81.5 | -0.8 | 46.5 |
10 | Zalgiris Kaunas II | 47.5 | 40 | 19 | 21 | 3189 | 3241 | 79.7 | 81.0 | -1.3 | 44.4 |
11 | Moletu Ezerunas-Atletas | 45.0 | 40 | 18 | 22 | 3056 | 3279 | 76.4 | 82.0 | -5.6 | 27.3 |
12 | Jonavos CBet | 42.5 | 40 | 17 | 23 | 3359 | 3377 | 84.0 | 84.4 | -0.4 | 48.1 |
13 | Taurages | 42.5 | 40 | 17 | 23 | 3063 | 3162 | 76.6 | 79.1 | -2.5 | 39.1 |
14 | M Basket-Delamode | 32.5 | 40 | 13 | 27 | 3144 | 3304 | 78.6 | 82.6 | -4.0 | 33.4 |
15 | KTU Kaunas | 12.5 | 40 | 5 | 35 | 2885 | 3417 | 72.1 | 85.4 | -13.3 | 8.7 |
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.