Israel - National League
Standings
Israel - National League basketball (ISR-2)
Standings for 2017-2018 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Maccabi Kiryat Gat | 73.1 | 26 | 19 | 7 | 2283 | 2184 | 87.8 | 84.0 | 3.8 | 64.9 |
2 | Maccabi Rehovot | 69.2 | 26 | 18 | 8 | 2140 | 1991 | 82.3 | 76.6 | 5.7 | 73.2 |
3 | Ironi Kiryat Ata | 69.2 | 26 | 18 | 8 | 2285 | 2146 | 87.9 | 82.5 | 5.4 | 70.5 |
4 | Maccabi Ra'anana | 69.2 | 26 | 18 | 8 | 2240 | 2124 | 86.2 | 81.7 | 4.5 | 67.7 |
5 | Hapoel Beer Sheva | 69.2 | 26 | 18 | 8 | 2221 | 2131 | 85.4 | 82.0 | 3.4 | 64.0 |
6 | Hapoel Galil Elyon | 53.9 | 26 | 14 | 12 | 2208 | 2094 | 84.9 | 80.5 | 4.4 | 67.6 |
7 | Hapoel Ramat Gan | 46.2 | 26 | 12 | 14 | 2155 | 2143 | 82.9 | 82.4 | 0.5 | 51.9 |
8 | Maccabi K/M | 42.3 | 26 | 11 | 15 | 2077 | 2176 | 79.9 | 83.7 | -3.8 | 34.4 |
9 | Hapoel Kfar Saba/Kohav | 42.3 | 26 | 11 | 15 | 2000 | 2108 | 76.9 | 81.1 | -4.2 | 32.5 |
10 | Elitzur Yavne | 38.5 | 26 | 10 | 16 | 2156 | 2222 | 82.9 | 85.5 | -2.6 | 39.7 |
11 | Hapoel Afula | 34.6 | 26 | 9 | 17 | 2144 | 2206 | 82.5 | 84.8 | -2.3 | 40.2 |
12 | Hapoel Haifa | 34.6 | 26 | 9 | 17 | 2054 | 2131 | 79.0 | 82.0 | -3.0 | 37.5 |
13 | Maccabi Hod Hasharon | 34.6 | 26 | 9 | 17 | 2174 | 2305 | 83.6 | 88.7 | -5.1 | 30.7 |
14 | Hapoel Haemek | 23.1 | 26 | 6 | 20 | 2152 | 2328 | 82.8 | 89.5 | -6.7 | 25.1 |
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.