Lithuania - NKL
Standings
Lithuania - NKL basketball (LIT-2)
Standings for 2013-2014 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | M Basket-Delamode | 82.1 | 28 | 23 | 5 | 2258 | 2005 | 80.6 | 71.6 | 9.0 | 83.9 |
2 | Delikatesas | 71.4 | 28 | 20 | 8 | 2175 | 1882 | 77.7 | 67.2 | 10.5 | 88.2 |
3 | Trakai | 71.4 | 28 | 20 | 8 | 2093 | 1941 | 74.8 | 69.3 | 5.5 | 74.1 |
4 | Moletu Ezerunas-Atletas | 67.9 | 28 | 19 | 9 | 2236 | 2003 | 79.9 | 71.5 | 8.4 | 82.2 |
5 | Jonavos CBet | 60.7 | 28 | 17 | 11 | 2163 | 2113 | 77.3 | 75.5 | 1.8 | 58.1 |
6 | Vilnius-MRU | 53.6 | 28 | 15 | 13 | 2126 | 1977 | 75.9 | 70.6 | 5.3 | 73.3 |
7 | Vytis Sakiai | 50.0 | 28 | 14 | 14 | 2259 | 2254 | 80.7 | 80.5 | 0.2 | 50.8 |
8 | Silute | 50.0 | 28 | 14 | 14 | 2046 | 2118 | 73.1 | 75.6 | -2.5 | 38.2 |
9 | Zalgiris Kaunas II | 46.4 | 28 | 13 | 15 | 2146 | 2183 | 76.6 | 78.0 | -1.4 | 44.1 |
10 | Suduva | 42.9 | 28 | 12 | 16 | 2154 | 2165 | 76.9 | 77.3 | -0.4 | 48.2 |
11 | Klaipėdos Neptūnas-Akvaservis | 35.7 | 28 | 10 | 18 | 2134 | 2185 | 76.2 | 78.0 | -1.8 | 41.9 |
12 | Palangos Kuršiai | 35.7 | 28 | 10 | 18 | 2103 | 2313 | 75.1 | 82.6 | -7.5 | 21.0 |
13 | JAZZ-Diremta | 32.1 | 28 | 9 | 19 | 2035 | 2318 | 72.7 | 82.8 | -10.1 | 14.0 |
14 | Olimpas Plunge | 25.0 | 28 | 7 | 21 | 2238 | 2440 | 79.9 | 87.1 | -7.2 | 23.1 |
15 | Radviliskis | 25.0 | 28 | 7 | 21 | 1964 | 2233 | 70.1 | 79.8 | -9.7 | 14.4 |
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.