Israel - National League
Standings
Israel - National League basketball (ISR-2)
Standings for 2015-2016 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Gilboa Galil | 80.8 | 26 | 21 | 5 | 2279 | 1920 | 87.7 | 73.8 | 13.9 | 91.6 |
2 | Ironi Kiryat Ata | 76.9 | 26 | 20 | 6 | 2129 | 1869 | 81.9 | 71.9 | 10.0 | 86.0 |
3 | Hapoel Afula | 69.2 | 26 | 18 | 8 | 2190 | 2013 | 84.2 | 77.4 | 6.8 | 76.4 |
4 | Hapoel Beer Sheva | 69.2 | 26 | 18 | 8 | 2076 | 1967 | 79.8 | 75.7 | 4.1 | 67.9 |
5 | Maccabi Ramat Gan | 65.4 | 26 | 17 | 9 | 2168 | 2124 | 83.4 | 81.7 | 1.7 | 57.1 |
6 | Maccabi Ra'anana | 57.7 | 26 | 15 | 11 | 2069 | 2033 | 79.6 | 78.2 | 1.4 | 56.1 |
7 | Hapoel Kfar Saba/Kohav | 46.2 | 26 | 12 | 14 | 2062 | 2064 | 79.3 | 79.4 | -0.1 | 49.7 |
8 | Ramat Hasharon | 46.2 | 26 | 12 | 14 | 2122 | 2144 | 81.6 | 82.5 | -0.9 | 46.4 |
9 | Hapoel Haemek | 42.3 | 26 | 11 | 15 | 2069 | 2153 | 79.6 | 82.8 | -3.2 | 36.5 |
10 | Maccabi Hod Hasharon | 38.5 | 26 | 10 | 16 | 2252 | 2264 | 86.6 | 87.1 | -0.5 | 48.2 |
11 | Hapoel Galil Elyon | 38.5 | 26 | 10 | 16 | 2142 | 2213 | 82.4 | 85.1 | -2.7 | 38.9 |
12 | Hapoel Ramat Gan | 34.6 | 26 | 9 | 17 | 2057 | 2113 | 79.1 | 81.3 | -2.2 | 40.8 |
13 | Elitzur Yavne | 23.1 | 26 | 6 | 20 | 2085 | 2318 | 80.2 | 89.2 | -9.0 | 18.6 |
14 | Elizur Ashkelon | 11.5 | 26 | 3 | 23 | 2081 | 2586 | 80.0 | 99.5 | -19.5 | 4.6 |
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.