U17 World Cup
Standings
U17 World Cup basketball (U17 WC)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U17 USA | 100.0 | 7 | 7 | 0 | 749 | 373 | 107.0 | 53.3 | 53.7 | 100.0 |
2 | U17 France | 85.7 | 7 | 6 | 1 | 560 | 441 | 80.0 | 63.0 | 17.0 | 96.5 |
3 | U17 Canada | 71.4 | 7 | 5 | 2 | 606 | 523 | 86.6 | 74.7 | 11.9 | 88.6 |
4 | U17 Turkey | 71.4 | 7 | 5 | 2 | 583 | 513 | 83.3 | 73.3 | 10.0 | 85.6 |
5 | U17 Puerto Rico | 71.4 | 7 | 5 | 2 | 545 | 484 | 77.9 | 69.1 | 8.8 | 83.9 |
6 | U17 Australia | 57.1 | 7 | 4 | 3 | 512 | 492 | 73.1 | 70.3 | 2.8 | 63.5 |
7 | U17 Serbia | 57.1 | 7 | 4 | 3 | 520 | 505 | 74.3 | 72.1 | 2.2 | 60.0 |
8 | U17 Croatia | 57.1 | 7 | 4 | 3 | 470 | 527 | 67.1 | 75.3 | -8.2 | 16.9 |
9 | U17 Montenegro | 42.9 | 7 | 3 | 4 | 488 | 525 | 69.7 | 75.0 | -5.3 | 26.6 |
10 | U17 Argentina | 42.9 | 7 | 3 | 4 | 458 | 512 | 65.4 | 73.1 | -7.7 | 17.5 |
11 | U17 Dominican Republic | 42.9 | 7 | 3 | 4 | 521 | 605 | 74.4 | 86.4 | -12.0 | 11.1 |
12 | U17 Mali | 28.6 | 7 | 2 | 5 | 537 | 570 | 76.7 | 81.4 | -4.7 | 30.4 |
13 | U17 Philippines | 28.6 | 7 | 2 | 5 | 464 | 583 | 66.3 | 83.3 | -17.0 | 4.0 |
14 | U17 Egypt | 14.3 | 7 | 1 | 6 | 436 | 493 | 62.3 | 70.4 | -8.1 | 15.3 |
15 | U17 China | 14.3 | 7 | 1 | 6 | 427 | 572 | 61.0 | 81.7 | -20.7 | 1.7 |
16 | U17 New Zealand | 14.3 | 7 | 1 | 6 | 379 | 537 | 54.1 | 76.7 | -22.6 | 0.8 |
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.