VTB United League basketball (VTB)

Standings for 2011-2012 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 CSKA Moscow CSKA Moscow 87.5 16 14 2 1299 1023 81.2 63.9 17.3 96.5
2 UNICS Kazan UNICS Kazan 87.5 16 14 2 1229 1025 76.8 64.1 12.7 92.6
3 Khimki Moscow Region Khimki Moscow Region 75.0 16 12 4 1299 1169 81.2 73.1 8.1 81.3
4 Spartak St.Petersb. Spartak St.Petersb. 68.8 16 11 5 1159 1075 72.4 67.2 5.2 74.0
5 Rytas Vilnius Rytas Vilnius 62.5 16 10 6 1251 1154 78.2 72.1 6.1 75.4
6 Zalgiris Kaunas Zalgiris Kaunas 56.3 16 9 7 1297 1219 81.1 76.2 4.9 70.3
7 Lokomotiv Kuban Lokomotiv Kuban 56.3 16 9 7 1212 1197 75.8 74.8 1.0 54.3
8 ERA Nymburk ERA Nymburk 50.0 16 8 8 1219 1200 76.2 75.0 1.2 55.4
9 Arka Gdynia Arka Gdynia 50.0 16 8 8 1165 1148 72.8 71.8 1.0 55.1
10 Nizhny Novgorod Nizhny Novgorod 50.0 16 8 8 1272 1256 79.5 78.5 1.0 54.4
11 Azovmash Azovmash 50.0 16 8 8 1155 1170 72.2 73.1 -0.9 45.5
12 VEF Riga VEF Riga 50.0 16 8 8 1240 1284 77.5 80.3 -2.8 38.1
13 Krasnye Krylia Krasnye Krylia 43.8 16 7 9 1172 1194 73.3 74.6 -1.3 43.6
14 Astana Astana 43.8 16 7 9 1199 1274 74.9 79.6 -4.7 30.1
15 Budivelnyk Kyiv Budivelnyk Kyiv 31.3 16 5 11 1201 1271 75.1 79.4 -4.3 31.3
16 Enisey Enisey 18.8 16 3 13 1170 1324 73.1 82.8 -9.7 15.2
17 BC Kalev/Cramo BC Kalev/Cramo 12.5 16 2 14 1118 1335 69.9 83.4 -13.5 7.8
18 Tsmoki-Minsk Tsmoki-Minsk 6.3 16 1 15 1166 1505 72.9 94.1 -21.2 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.