U19 World Cup
Standings
U19 World Cup basketball (U19 WC)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U19 USA | 100.0 | 9 | 9 | 0 | 794 | 594 | 88.2 | 66.0 | 22.2 | 98.3 |
2 | U19 Australia | 77.8 | 9 | 7 | 2 | 724 | 630 | 80.4 | 70.0 | 10.4 | 87.4 |
3 | U19 Croatia | 77.8 | 9 | 7 | 2 | 761 | 677 | 84.6 | 75.2 | 9.4 | 83.6 |
4 | U19 Greece | 66.7 | 9 | 6 | 3 | 773 | 674 | 85.9 | 74.9 | 11.0 | 87.1 |
5 | U19 Lithuania | 62.5 | 8 | 5 | 3 | 704 | 583 | 88.0 | 72.9 | 15.1 | 93.2 |
6 | U19 Argentina | 55.6 | 9 | 5 | 4 | 685 | 666 | 76.1 | 74.0 | 2.1 | 59.7 |
7 | U19 Puerto Rico | 55.6 | 9 | 5 | 4 | 729 | 719 | 81.0 | 79.9 | 1.1 | 54.8 |
8 | U19 Spain | 50.0 | 8 | 4 | 4 | 623 | 612 | 77.9 | 76.5 | 1.4 | 56.2 |
9 | U19 Canada | 44.4 | 9 | 4 | 5 | 723 | 667 | 80.3 | 74.1 | 6.2 | 75.4 |
10 | U19 New Zealand | 40.0 | 5 | 2 | 3 | 374 | 364 | 74.8 | 72.8 | 2.0 | 59.3 |
11 | U19 France | 33.3 | 9 | 3 | 6 | 730 | 692 | 81.1 | 76.9 | 4.2 | 67.8 |
12 | U19 Egypt | 25.0 | 8 | 2 | 6 | 568 | 764 | 71.0 | 95.5 | -24.5 | 1.6 |
13 | U19 Iran | 20.0 | 5 | 1 | 4 | 360 | 402 | 72.0 | 80.4 | -8.4 | 17.7 |
14 | U19 Angola | 20.0 | 5 | 1 | 4 | 269 | 406 | 53.8 | 81.2 | -27.4 | 0.3 |
15 | U19 Kazakhstan | 12.5 | 8 | 1 | 7 | 585 | 780 | 73.1 | 97.5 | -24.4 | 1.8 |
16 | U19 Syria | 0.0 | 5 | 0 | 5 | 288 | 460 | 57.6 | 92.0 | -34.4 | 0.1 |
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.