World Cup (W)
Standings
World Cup (W) basketball (World Cup)
Standings for 2006-2007 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Australia (W) | 100.0 | 9 | 9 | 0 | 707 | 526 | 78.6 | 58.4 | 20.2 | 98.4 |
2 | USA (W) | 88.9 | 9 | 8 | 1 | 774 | 529 | 86.0 | 58.8 | 27.2 | 99.5 |
3 | Argentina (W) | 62.5 | 8 | 5 | 3 | 527 | 532 | 65.9 | 66.5 | -0.6 | 46.7 |
4 | Brazil (W) | 55.6 | 9 | 5 | 4 | 692 | 650 | 76.9 | 72.2 | 4.7 | 70.5 |
5 | Russia (W) | 55.6 | 9 | 5 | 4 | 702 | 661 | 78.0 | 73.4 | 4.6 | 69.8 |
6 | Czech Republic (W) | 55.6 | 9 | 5 | 4 | 624 | 607 | 69.3 | 67.4 | 1.9 | 59.5 |
7 | France (W) | 55.6 | 9 | 5 | 4 | 638 | 640 | 70.9 | 71.1 | -0.2 | 48.9 |
8 | Spain (W) | 44.4 | 9 | 4 | 5 | 622 | 581 | 69.1 | 64.6 | 4.5 | 72.1 |
9 | Lithuania (W) | 44.4 | 9 | 4 | 5 | 551 | 587 | 61.2 | 65.2 | -4.0 | 29.3 |
10 | Korea (W) | 40.0 | 5 | 2 | 3 | 355 | 387 | 71.0 | 77.4 | -6.4 | 23.1 |
11 | China (W) | 37.5 | 8 | 3 | 5 | 550 | 613 | 68.8 | 76.6 | -7.8 | 18.1 |
12 | Cuba (W) | 37.5 | 8 | 3 | 5 | 549 | 619 | 68.6 | 77.4 | -8.8 | 15.9 |
13 | Canada (W) | 25.0 | 8 | 2 | 6 | 466 | 609 | 58.3 | 76.1 | -17.8 | 2.4 |
14 | Senegal (W) | 20.0 | 5 | 1 | 4 | 317 | 373 | 63.4 | 74.6 | -11.2 | 9.4 |
15 | Chinese Taipei (W) | 20.0 | 5 | 1 | 4 | 343 | 418 | 68.6 | 83.6 | -15.0 | 6.0 |
16 | Nigeria (W) | 0.0 | 5 | 0 | 5 | 296 | 381 | 59.2 | 76.2 | -17.0 | 2.9 |
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.