U17 World Cup
Standings
U17 World Cup basketball (U17 WC)
Standings for 2014-2015 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U17 USA | 100.0 | 14 | 14 | 0 | 1458 | 924 | 104.1 | 66.0 | 38.1 | 99.8 |
2 | U17 Serbia | 85.7 | 14 | 12 | 2 | 1076 | 862 | 76.9 | 61.6 | 15.3 | 95.6 |
3 | U17 Puerto Rico | 85.7 | 14 | 12 | 2 | 1016 | 900 | 72.6 | 64.3 | 8.3 | 84.4 |
4 | U17 Italy | 71.4 | 14 | 10 | 4 | 1058 | 816 | 75.6 | 58.3 | 17.3 | 97.4 |
5 | U17 Australia | 71.4 | 14 | 10 | 4 | 1174 | 1102 | 83.9 | 78.7 | 5.2 | 70.7 |
6 | U17 Canada | 57.1 | 14 | 8 | 6 | 1144 | 956 | 81.7 | 68.3 | 13.4 | 92.4 |
7 | U17 Argentina | 57.1 | 14 | 8 | 6 | 948 | 848 | 67.7 | 60.6 | 7.1 | 82.5 |
8 | U17 Spain | 42.9 | 14 | 6 | 8 | 1042 | 848 | 74.4 | 60.6 | 13.8 | 94.6 |
9 | U17 France | 42.9 | 14 | 6 | 8 | 1096 | 972 | 78.3 | 69.4 | 8.9 | 84.2 |
10 | U17 Greece | 42.9 | 14 | 6 | 8 | 936 | 914 | 66.9 | 65.3 | 1.6 | 58.2 |
11 | U17 China | 42.9 | 14 | 6 | 8 | 1080 | 1128 | 77.1 | 80.6 | -3.5 | 35.3 |
12 | U17 Angola | 42.9 | 14 | 6 | 8 | 934 | 1028 | 66.7 | 73.4 | -6.7 | 20.9 |
13 | U17 Egypt | 28.6 | 14 | 4 | 10 | 898 | 1024 | 64.1 | 73.1 | -9.0 | 13.9 |
14 | U17 Philippines | 14.3 | 14 | 2 | 12 | 1022 | 1208 | 73.0 | 86.3 | -13.3 | 8.9 |
15 | U17 Japan | 14.3 | 14 | 2 | 12 | 850 | 1222 | 60.7 | 87.3 | -26.6 | 0.6 |
16 | U17 United Arab Emirates | 0.0 | 14 | 0 | 14 | 580 | 1560 | 41.4 | 111.4 | -70.0 | 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.