U17 World Cup
Standings
U17 World Cup basketball (U17 WC)
Standings for 2016-2017 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U17 USA | 100.0 | 7 | 7 | 0 | 743 | 431 | 106.1 | 61.6 | 44.5 | 99.9 |
2 | U17 Canada | 85.7 | 7 | 6 | 1 | 626 | 458 | 89.4 | 65.4 | 24.0 | 98.7 |
3 | U17 Spain | 71.4 | 7 | 5 | 2 | 538 | 452 | 76.9 | 64.6 | 12.3 | 91.9 |
4 | U17 Bosnia and Herzegovina | 71.4 | 7 | 5 | 2 | 615 | 535 | 87.9 | 76.4 | 11.5 | 87.4 |
5 | U17 Lithuania | 71.4 | 7 | 5 | 2 | 535 | 493 | 76.4 | 70.4 | 6.0 | 75.7 |
6 | U17 Turkey | 71.4 | 7 | 5 | 2 | 509 | 508 | 72.7 | 72.6 | 0.1 | 50.7 |
7 | U17 France | 57.1 | 7 | 4 | 3 | 565 | 474 | 80.7 | 67.7 | 13.0 | 92.0 |
8 | U17 China | 42.9 | 7 | 3 | 4 | 513 | 536 | 73.3 | 76.6 | -3.3 | 35.2 |
9 | U17 Australia | 42.9 | 7 | 3 | 4 | 506 | 551 | 72.3 | 78.7 | -6.4 | 23.4 |
10 | U17 Korea | 42.9 | 7 | 3 | 4 | 545 | 665 | 77.9 | 95.0 | -17.1 | 5.9 |
11 | U17 Mali | 28.6 | 7 | 2 | 5 | 434 | 495 | 62.0 | 70.7 | -8.7 | 13.8 |
12 | U17 Finland | 28.6 | 7 | 2 | 5 | 430 | 502 | 61.4 | 71.7 | -10.3 | 10.4 |
13 | U17 Argentina | 28.6 | 7 | 2 | 5 | 426 | 515 | 60.9 | 73.6 | -12.7 | 6.7 |
14 | U17 Dominican Republic | 28.6 | 7 | 2 | 5 | 442 | 540 | 63.1 | 77.1 | -14.0 | 5.8 |
15 | U17 Egypt | 14.3 | 7 | 1 | 6 | 455 | 547 | 65.0 | 78.1 | -13.1 | 7.2 |
16 | U17 Chinese Taipei | 14.3 | 7 | 1 | 6 | 448 | 628 | 64.0 | 89.7 | -25.7 | 0.9 |
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.