VTB United League
Standings
VTB United League basketball (VTB)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | CSKA Moscow | 84.6 | 26 | 22 | 4 | 2404 | 1969 | 92.5 | 75.7 | 16.8 | 94.1 |
2 | UNICS Kazan | 80.8 | 26 | 21 | 5 | 2190 | 1945 | 84.2 | 74.8 | 9.4 | 83.9 |
3 | Khimki Moscow Region | 76.9 | 26 | 20 | 6 | 2230 | 1973 | 85.8 | 75.9 | 9.9 | 84.6 |
4 | Lokomotiv Kuban | 65.4 | 26 | 17 | 9 | 2171 | 2004 | 83.5 | 77.1 | 6.4 | 75.3 |
5 | Zenit St. Petersburg | 57.7 | 26 | 15 | 11 | 2300 | 2180 | 88.5 | 83.8 | 4.7 | 67.8 |
6 | Astana | 57.7 | 26 | 15 | 11 | 2239 | 2169 | 86.1 | 83.4 | 2.7 | 60.9 |
7 | BC Kalev/Cramo | 53.9 | 26 | 14 | 12 | 2342 | 2275 | 90.1 | 87.5 | 2.6 | 60.0 |
8 | Nizhny Novgorod | 53.9 | 26 | 14 | 12 | 2158 | 2173 | 83.0 | 83.6 | -0.6 | 47.6 |
9 | Enisey | 42.3 | 26 | 11 | 15 | 2154 | 2276 | 82.8 | 87.5 | -4.7 | 31.7 |
10 | VEF Riga | 38.5 | 26 | 10 | 16 | 1962 | 2134 | 75.5 | 82.1 | -6.6 | 23.7 |
11 | Avtodor Saratov | 34.6 | 26 | 9 | 17 | 2379 | 2478 | 91.5 | 95.3 | -3.8 | 36.2 |
12 | Parma | 19.2 | 26 | 5 | 21 | 2025 | 2298 | 77.9 | 88.4 | -10.5 | 14.7 |
13 | Enea Zastal Zielona Góra | 19.2 | 26 | 5 | 21 | 2020 | 2330 | 77.7 | 89.6 | -11.9 | 12.1 |
14 | Tsmoki-Minsk | 15.4 | 26 | 4 | 22 | 1959 | 2329 | 75.3 | 89.6 | -14.3 | 8.3 |
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.