U16 European Championship
Standings
U16 European Championship basketball (Euro U16)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U16 Russia | 77.8 | 9 | 7 | 2 | 749 | 626 | 83.2 | 69.6 | 13.6 | 92.4 |
2 | U16 Spain | 77.8 | 9 | 7 | 2 | 662 | 587 | 73.6 | 65.2 | 8.4 | 84.2 |
3 | U16 France | 77.8 | 9 | 7 | 2 | 640 | 568 | 71.1 | 63.1 | 8.0 | 84.0 |
4 | U16 Israel | 66.7 | 6 | 4 | 2 | 465 | 456 | 77.5 | 76.0 | 1.5 | 56.8 |
5 | U16 Latvia | 62.5 | 8 | 5 | 3 | 594 | 577 | 74.3 | 72.1 | 2.2 | 60.0 |
6 | U16 Lithuania | 55.6 | 9 | 5 | 4 | 624 | 594 | 69.3 | 66.0 | 3.3 | 66.5 |
7 | U16 Serbia | 55.6 | 9 | 5 | 4 | 735 | 703 | 81.7 | 78.1 | 3.6 | 65.0 |
8 | U16 Poland | 55.6 | 9 | 5 | 4 | 598 | 606 | 66.4 | 67.3 | -0.9 | 45.4 |
9 | U16 Croatia | 44.4 | 9 | 4 | 5 | 624 | 558 | 69.3 | 62.0 | 7.3 | 82.6 |
10 | U16 Turkey | 44.4 | 9 | 4 | 5 | 590 | 610 | 65.6 | 67.8 | -2.2 | 38.6 |
11 | U16 Montenegro | 37.5 | 8 | 3 | 5 | 529 | 592 | 66.1 | 74.0 | -7.9 | 17.3 |
12 | U16 Germany | 37.5 | 8 | 3 | 5 | 434 | 540 | 54.3 | 67.5 | -13.2 | 4.6 |
13 | U16 Greece | 33.3 | 6 | 2 | 4 | 432 | 428 | 72.0 | 71.3 | 0.7 | 53.2 |
14 | U16 Italy | 25.0 | 8 | 2 | 6 | 536 | 560 | 67.0 | 70.0 | -3.0 | 35.2 |
15 | U16 Ukraine | 16.7 | 6 | 1 | 5 | 376 | 461 | 62.7 | 76.8 | -14.1 | 5.5 |
16 | U16 Czech Republic | 0.0 | 6 | 0 | 6 | 349 | 471 | 58.2 | 78.5 | -20.3 | 1.5 |
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.