Euroleague - Qualifying Rounds
Standings
Euroleague - Qualifying Rounds basketball (EU-1 QR)
Standings for 2011-2012 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Spirou Basket | 100.0 | 3 | 3 | 0 | 214 | 175 | 71.3 | 58.3 | 13.0 | 94.3 |
2 | Galatasaray | 100.0 | 3 | 3 | 0 | 241 | 210 | 80.3 | 70.0 | 10.3 | 87.2 |
3 | Rytas Vilnius | 66.7 | 3 | 2 | 1 | 234 | 206 | 78.0 | 68.7 | 9.3 | 85.5 |
4 | ERA Nymburk | 66.7 | 3 | 2 | 1 | 208 | 215 | 69.3 | 71.7 | -2.4 | 38.7 |
5 | Alba Berlin | 50.0 | 2 | 1 | 1 | 145 | 134 | 72.5 | 67.0 | 5.5 | 75.0 |
6 | Khimki Moscow Region | 50.0 | 2 | 1 | 1 | 153 | 153 | 76.5 | 76.5 | 0.0 | 50.0 |
7 | LDLC ASVEL | 50.0 | 2 | 1 | 1 | 163 | 165 | 81.5 | 82.5 | -1.0 | 45.8 |
8 | Cibona | 50.0 | 2 | 1 | 1 | 148 | 158 | 74.0 | 79.0 | -5.0 | 28.7 |
9 | Donetsk | 0.0 | 1 | 0 | 1 | 59 | 61 | 59.0 | 61.0 | -2.0 | 38.6 |
10 | Cholet Basket | 0.0 | 1 | 0 | 1 | 70 | 77 | 70.0 | 77.0 | -7.0 | 21.0 |
11 | PGE Turow | 0.0 | 1 | 0 | 1 | 67 | 74 | 67.0 | 74.0 | -7.0 | 20.1 |
12 | Gravelines | 0.0 | 1 | 0 | 1 | 72 | 80 | 72.0 | 80.0 | -8.0 | 18.8 |
13 | PAOK | 0.0 | 1 | 0 | 1 | 64 | 77 | 64.0 | 77.0 | -13.0 | 7.1 |
14 | Banvit | 0.0 | 1 | 0 | 1 | 57 | 69 | 57.0 | 69.0 | -12.0 | 6.6 |
15 | Buducnost VOLI | 0.0 | 1 | 0 | 1 | 64 | 83 | 64.0 | 83.0 | -19.0 | 2.6 |
16 | VEF Riga | 0.0 | 1 | 0 | 1 | 60 | 82 | 60.0 | 82.0 | -22.0 | 1.3 |
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.