World Cup (W)
Standings
World Cup (W) basketball (World Cup)
Standings for 2002-2003 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | USA (W) | 100.0 | 9 | 9 | 0 | 797 | 492 | 88.6 | 54.7 | 33.9 | 99.9 |
2 | Australia (W) | 77.8 | 9 | 7 | 2 | 749 | 579 | 83.2 | 64.3 | 18.9 | 97.3 |
3 | Russia (W) | 75.0 | 8 | 6 | 2 | 626 | 500 | 78.3 | 62.5 | 15.8 | 95.8 |
4 | Brazil (W) | 75.0 | 8 | 6 | 2 | 646 | 537 | 80.8 | 67.1 | 13.7 | 92.9 |
5 | Spain (W) | 66.7 | 9 | 6 | 3 | 676 | 635 | 75.1 | 70.6 | 4.5 | 70.5 |
6 | China (W) | 62.5 | 8 | 5 | 3 | 625 | 599 | 78.1 | 74.9 | 3.2 | 64.4 |
7 | France (W) | 44.4 | 9 | 4 | 5 | 687 | 635 | 76.3 | 70.6 | 5.7 | 74.9 |
8 | Japan (W) | 40.0 | 5 | 2 | 3 | 348 | 422 | 69.6 | 84.4 | -14.8 | 6.4 |
9 | Korea (W) | 37.5 | 8 | 3 | 5 | 574 | 645 | 71.8 | 80.6 | -8.8 | 16.5 |
10 | Lithuania (W) | 37.5 | 8 | 3 | 5 | 545 | 622 | 68.1 | 77.8 | -9.7 | 13.7 |
11 | Yugoslavia (W) | 28.6 | 7 | 2 | 5 | 528 | 557 | 75.4 | 79.6 | -4.2 | 32.2 |
12 | Cuba (W) | 28.6 | 7 | 2 | 5 | 484 | 537 | 69.1 | 76.7 | -7.6 | 19.1 |
13 | Argentina (W) | 25.0 | 8 | 2 | 6 | 506 | 662 | 63.3 | 82.8 | -19.5 | 2.3 |
14 | Senegal (W) | 20.0 | 5 | 1 | 4 | 357 | 411 | 71.4 | 82.2 | -10.8 | 12.4 |
15 | Chinese Taipei (W) | 20.0 | 5 | 1 | 4 | 333 | 401 | 66.6 | 80.2 | -13.6 | 7.0 |
16 | Tunisia (W) | 0.0 | 5 | 0 | 5 | 292 | 539 | 58.4 | 107.8 | -49.4 | 0.0 |
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.