Ukraine - Superleague
Standings
Ukraine - Superleague basketball (UKR-1)
Standings for 2012-2013 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Budivelnyk Kyiv | 71.8 | 39 | 28 | 11 | 3204 | 2922 | 82.2 | 74.9 | 7.3 | 78.3 |
2 | Azovmash | 64.1 | 39 | 25 | 14 | 3204 | 3054 | 82.2 | 78.3 | 3.9 | 66.1 |
3 | Zaporizhye | 64.1 | 39 | 25 | 14 | 3377 | 3232 | 86.6 | 82.9 | 3.7 | 64.8 |
4 | Politekhnika-Halychyna | 61.5 | 39 | 24 | 15 | 3072 | 2961 | 78.8 | 75.9 | 2.9 | 62.5 |
5 | Khimik Yuzhny | 61.5 | 39 | 24 | 15 | 3102 | 3040 | 79.5 | 77.9 | 1.6 | 57.0 |
6 | Donetsk | 59.0 | 39 | 23 | 16 | 3095 | 2926 | 79.4 | 75.0 | 4.4 | 68.6 |
7 | Cherkasy Monkeys | 53.9 | 39 | 21 | 18 | 3047 | 2935 | 78.1 | 75.3 | 2.8 | 62.7 |
8 | BC Goverla | 53.9 | 39 | 21 | 18 | 3074 | 3024 | 78.8 | 77.5 | 1.3 | 55.7 |
9 | Kryvbasbasket | 43.6 | 39 | 17 | 22 | 2930 | 2990 | 75.1 | 76.7 | -1.6 | 43.0 |
10 | MBC Mykolaiv | 41.0 | 39 | 16 | 23 | 2911 | 3036 | 74.6 | 77.8 | -3.2 | 35.8 |
11 | Dnipro | 38.5 | 39 | 15 | 24 | 2911 | 3052 | 74.6 | 78.3 | -3.7 | 34.1 |
12 | Odessa | 35.9 | 39 | 14 | 25 | 2990 | 3165 | 76.7 | 81.2 | -4.5 | 31.2 |
13 | DneprAzot | 28.2 | 39 | 11 | 28 | 2894 | 3165 | 74.2 | 81.2 | -7.0 | 22.4 |
14 | BC Kyiv | 23.1 | 39 | 9 | 30 | 2739 | 3048 | 70.2 | 78.2 | -8.0 | 18.4 |
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.