Ukraine - Superleague
Standings
Ukraine - Superleague basketball (UKR-1)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Budivelnyk Kyiv | 92.3 | 26 | 24 | 2 | 2279 | 1849 | 87.7 | 71.1 | 16.6 | 94.8 |
2 | Zaporizhye | 80.8 | 26 | 21 | 5 | 2443 | 2007 | 94.0 | 77.2 | 16.8 | 93.9 |
3 | Kryvbasbasket | 76.9 | 26 | 20 | 6 | 2099 | 1915 | 80.7 | 73.7 | 7.0 | 78.2 |
4 | BC Kyiv | 65.4 | 26 | 17 | 9 | 1952 | 1831 | 75.1 | 70.4 | 4.7 | 70.9 |
5 | Odessa | 61.5 | 26 | 16 | 10 | 2202 | 2063 | 84.7 | 79.3 | 5.4 | 71.2 |
6 | Azovmash | 57.7 | 26 | 15 | 11 | 2113 | 1967 | 81.3 | 75.7 | 5.6 | 73.0 |
7 | Dnipro | 53.9 | 26 | 14 | 12 | 2134 | 2144 | 82.1 | 82.5 | -0.4 | 48.4 |
8 | BC Goverla | 50.0 | 26 | 13 | 13 | 1988 | 2010 | 76.5 | 77.3 | -0.8 | 46.2 |
9 | MBC Mykolaiv | 50.0 | 26 | 13 | 13 | 2074 | 2129 | 79.8 | 81.9 | -2.1 | 41.0 |
10 | Khimik Yuzhny | 42.3 | 26 | 11 | 15 | 2138 | 2239 | 82.2 | 86.1 | -3.9 | 34.5 |
11 | Politekhnika-Halychyna | 38.5 | 26 | 10 | 16 | 1959 | 2008 | 75.3 | 77.2 | -1.9 | 41.5 |
12 | DneprAzot | 15.4 | 26 | 4 | 22 | 1942 | 2195 | 74.7 | 84.4 | -9.7 | 15.4 |
13 | BC-93 Pulsar | 15.4 | 26 | 4 | 22 | 1741 | 2181 | 67.0 | 83.9 | -16.9 | 4.2 |
14 | Gryfony Symferopil | 0.0 | 26 | 0 | 26 | 1808 | 2334 | 69.5 | 89.8 | -20.3 | 2.8 |
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.