Eurocup - Qualifying Rounds
Standings
Eurocup - Qualifying Rounds basketball (Eurocup QR)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dynamo Moscow | 50.0 | 2 | 1 | 1 | 141 | 112 | 70.5 | 56.0 | 14.5 | 96.1 |
2 | Besiktas S.J. | 50.0 | 2 | 1 | 1 | 169 | 155 | 84.5 | 77.5 | 7.0 | 76.9 |
3 | Panellinios BC | 50.0 | 2 | 1 | 1 | 168 | 158 | 84.0 | 79.0 | 5.0 | 70.1 |
4 | Hapoel Jerusalem | 50.0 | 2 | 1 | 1 | 169 | 162 | 84.5 | 81.0 | 3.5 | 64.3 |
5 | Valencia Basket | 50.0 | 2 | 1 | 1 | 142 | 139 | 71.0 | 69.5 | 1.5 | 57.4 |
6 | Surne Bilbao | 50.0 | 2 | 1 | 1 | 153 | 150 | 76.5 | 75.0 | 1.5 | 56.8 |
7 | Bamberg Baskets | 50.0 | 2 | 1 | 1 | 129 | 128 | 64.5 | 64.0 | 0.5 | 52.7 |
8 | BT Teramo | 50.0 | 2 | 1 | 1 | 140 | 139 | 70.0 | 69.5 | 0.5 | 52.5 |
9 | Apoel Nicosia | 50.0 | 2 | 1 | 1 | 139 | 140 | 69.5 | 70.0 | -0.5 | 47.5 |
10 | Buducnost VOLI | 50.0 | 2 | 1 | 1 | 128 | 129 | 64.0 | 64.5 | -0.5 | 47.3 |
11 | Donetsk | 50.0 | 2 | 1 | 1 | 150 | 153 | 75.0 | 76.5 | -1.5 | 43.2 |
12 | Belfius Mons-Hainaut | 50.0 | 2 | 1 | 1 | 139 | 142 | 69.5 | 71.0 | -1.5 | 42.6 |
13 | Roanne | 50.0 | 2 | 1 | 1 | 162 | 169 | 81.0 | 84.5 | -3.5 | 35.7 |
14 | VEF Riga | 50.0 | 2 | 1 | 1 | 158 | 168 | 79.0 | 84.0 | -5.0 | 29.9 |
15 | Raiffeisen Flyers Wels | 50.0 | 2 | 1 | 1 | 155 | 169 | 77.5 | 84.5 | -7.0 | 23.1 |
16 | Apollo Amsterdam | 50.0 | 2 | 1 | 1 | 112 | 141 | 56.0 | 70.5 | -14.5 | 3.9 |
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.