Lithuania - NKL basketball (LIT-2)

Standings for 2012-2013 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 M Basket-Delamode M Basket-Delamode 79.4 34 27 7 2775 2410 81.6 70.9 10.7 87.7
2 Alytus Wolves Alytus Wolves 76.5 34 26 8 2871 2607 84.4 76.7 7.7 79.3
3 Olimpas Plunge Olimpas Plunge 67.7 34 23 11 2810 2657 82.6 78.1 4.5 68.5
4 Suduva Suduva 67.7 34 23 11 2707 2585 79.6 76.0 3.6 65.5
5 Jonavos CBet Jonavos CBet 64.7 34 22 12 2817 2719 82.9 80.0 2.9 62.1
6 Zalgiris Kaunas II Zalgiris Kaunas II 61.8 34 21 13 2742 2581 80.6 75.9 4.7 69.9
7 Vytis Sakiai Vytis Sakiai 58.8 34 20 14 2736 2609 80.5 76.7 3.8 66.0
8 Statyba Statyba 58.8 34 20 14 2795 2669 82.2 78.5 3.7 65.5
9 S. Marciulionio S. Marciulionio 55.9 34 19 15 2862 2800 84.2 82.4 1.8 57.6
10 Meresta Meresta 47.1 34 16 18 2589 2526 76.1 74.3 1.8 58.5
11 Radviliskis Radviliskis 44.1 34 15 19 2562 2612 75.4 76.8 -1.4 43.3
12 Delikatesas Delikatesas 41.2 34 14 20 2562 2551 75.4 75.0 0.4 51.5
13 Vilnius-MRU Vilnius-MRU 41.2 34 14 20 2824 2824 83.1 83.1 0.0 50.0
14 JAZZ-Diremta JAZZ-Diremta 38.2 34 13 21 2292 2484 67.4 73.1 -5.7 24.6
15 Moletu Ezerunas-Atletas Moletu Ezerunas-Atletas 29.4 34 10 24 2253 2514 66.3 73.9 -7.6 17.9
16 Silute Silute 29.4 34 10 24 2576 2902 75.8 85.4 -9.6 16.0
17 Klaipėdos Neptūnas-Akvaservis Klaipėdos Neptūnas-Akvaservis 20.6 34 7 27 2521 2932 74.1 86.2 -12.1 10.9
18 Gargzdai-Bremena Gargzdai-Bremena 17.7 34 6 28 2320 2632 68.2 77.4 -9.2 14.7

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.