World Cup (W)
Standings
World Cup (W) basketball (World Cup)
Standings for 1994-1995 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | USA (W) | 87.5 | 8 | 7 | 1 | 793 | 618 | 99.1 | 77.3 | 21.8 | 97.0 |
2 | France (W) | 75.0 | 8 | 6 | 2 | 652 | 538 | 81.5 | 67.3 | 14.2 | 93.5 |
3 | Slovakia (W) | 75.0 | 8 | 6 | 2 | 700 | 615 | 87.5 | 76.9 | 10.6 | 85.8 |
4 | Brazil (W) | 75.0 | 8 | 6 | 2 | 786 | 725 | 98.3 | 90.6 | 7.7 | 75.5 |
5 | Cuba (W) | 62.5 | 8 | 5 | 3 | 681 | 600 | 85.1 | 75.0 | 10.1 | 85.3 |
6 | Italy (W) | 62.5 | 8 | 5 | 3 | 619 | 556 | 77.4 | 69.5 | 7.9 | 81.7 |
7 | Poland (W) | 62.5 | 8 | 5 | 3 | 659 | 631 | 82.4 | 78.9 | 3.5 | 64.7 |
8 | China (W) | 62.5 | 8 | 5 | 3 | 622 | 608 | 77.8 | 76.0 | 1.8 | 57.9 |
9 | Korea (W) | 50.0 | 8 | 4 | 4 | 714 | 652 | 89.3 | 81.5 | 7.8 | 78.0 |
10 | Australia (W) | 50.0 | 8 | 4 | 4 | 606 | 599 | 75.8 | 74.9 | 0.9 | 54.0 |
11 | Spain (W) | 37.5 | 8 | 3 | 5 | 639 | 614 | 79.9 | 76.8 | 3.1 | 63.5 |
12 | Canada (W) | 37.5 | 8 | 3 | 5 | 572 | 572 | 71.5 | 71.5 | 0.0 | 50.0 |
13 | Japan (W) | 25.0 | 8 | 2 | 6 | 636 | 620 | 79.5 | 77.5 | 2.0 | 58.8 |
14 | Chinese Taipei (W) | 25.0 | 8 | 2 | 6 | 604 | 733 | 75.5 | 91.6 | -16.1 | 6.3 |
15 | New Zealand (W) | 12.5 | 8 | 1 | 7 | 506 | 728 | 63.3 | 91.0 | -27.7 | 0.6 |
16 | Kenya (W) | 0.0 | 8 | 0 | 8 | 489 | 869 | 61.1 | 108.6 | -47.5 | 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.