U17 World Cup
Standings
U17 World Cup basketball (U17 WC)
Standings for 2022-2023 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U17 USA | 100.0 | 7 | 7 | 0 | 697 | 420 | 99.6 | 60.0 | 39.6 | 99.9 |
2 | U17 France | 85.7 | 7 | 6 | 1 | 582 | 390 | 83.1 | 55.7 | 27.4 | 99.6 |
3 | U17 Australia | 71.4 | 7 | 5 | 2 | 576 | 420 | 82.3 | 60.0 | 22.3 | 98.8 |
4 | U17 Spain | 71.4 | 7 | 5 | 2 | 542 | 449 | 77.4 | 64.1 | 13.3 | 93.2 |
5 | U17 Serbia | 71.4 | 7 | 5 | 2 | 635 | 545 | 90.7 | 77.9 | 12.8 | 89.3 |
6 | U17 Lithuania | 71.4 | 7 | 5 | 2 | 506 | 438 | 72.3 | 62.6 | 9.7 | 88.2 |
7 | U17 Canada | 57.1 | 7 | 4 | 3 | 556 | 497 | 79.4 | 71.0 | 8.4 | 82.6 |
8 | U17 Slovenia | 57.1 | 7 | 4 | 3 | 487 | 493 | 69.6 | 70.4 | -0.8 | 45.8 |
9 | U17 Poland | 42.9 | 7 | 3 | 4 | 492 | 511 | 70.3 | 73.0 | -2.7 | 37.1 |
10 | U17 Argentina | 42.9 | 7 | 3 | 4 | 452 | 503 | 64.6 | 71.9 | -7.3 | 18.4 |
11 | U17 Dominican Republic | 42.9 | 7 | 3 | 4 | 475 | 538 | 67.9 | 76.9 | -9.0 | 15.0 |
12 | U17 Mali | 28.6 | 7 | 2 | 5 | 457 | 497 | 65.3 | 71.0 | -5.7 | 23.7 |
13 | U17 Egypt | 28.6 | 7 | 2 | 5 | 422 | 538 | 60.3 | 76.9 | -16.6 | 3.3 |
14 | U17 Japan | 14.3 | 7 | 1 | 6 | 446 | 607 | 63.7 | 86.7 | -23.0 | 1.4 |
15 | U17 New Zealand | 14.3 | 7 | 1 | 6 | 405 | 600 | 57.9 | 85.7 | -27.8 | 0.4 |
16 | U17 Lebanon | 0.0 | 7 | 0 | 7 | 352 | 636 | 50.3 | 90.9 | -40.6 | 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.