U16 European Championship
Standings
U16 European Championship basketball (Euro U16)
Standings for 2005-2006 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U16 Turkey | 87.5 | 8 | 7 | 1 | 616 | 576 | 77.0 | 72.0 | 5.0 | 71.8 |
2 | U16 Lithuania | 75.0 | 8 | 6 | 2 | 625 | 508 | 78.1 | 63.5 | 14.6 | 94.7 |
3 | U16 France | 75.0 | 8 | 6 | 2 | 626 | 597 | 78.3 | 74.6 | 3.7 | 65.9 |
4 | U16 Spain | 62.5 | 8 | 5 | 3 | 652 | 591 | 81.5 | 73.9 | 7.6 | 79.7 |
5 | U16 Israel | 62.5 | 8 | 5 | 3 | 606 | 570 | 75.8 | 71.3 | 4.5 | 70.1 |
6 | U16 Greece | 55.6 | 9 | 5 | 4 | 605 | 504 | 67.2 | 56.0 | 11.2 | 92.7 |
7 | U16 Serbia & Montenegro | 50.0 | 8 | 4 | 4 | 587 | 536 | 73.4 | 67.0 | 6.4 | 78.0 |
8 | U16 Russia | 50.0 | 8 | 4 | 4 | 580 | 557 | 72.5 | 69.6 | 2.9 | 63.7 |
9 | U16 Ukraine | 50.0 | 8 | 4 | 4 | 513 | 533 | 64.1 | 66.6 | -2.5 | 37.0 |
10 | U16 Latvia | 50.0 | 8 | 4 | 4 | 543 | 576 | 67.9 | 72.0 | -4.1 | 30.6 |
11 | U16 Italy | 50.0 | 8 | 4 | 4 | 545 | 582 | 68.1 | 72.8 | -4.7 | 28.6 |
12 | U16 Slovenia | 37.5 | 8 | 3 | 5 | 552 | 560 | 69.0 | 70.0 | -1.0 | 45.0 |
13 | U16 Croatia | 37.5 | 8 | 3 | 5 | 624 | 637 | 78.0 | 79.6 | -1.6 | 42.9 |
14 | U16 Iceland | 33.3 | 9 | 3 | 6 | 469 | 599 | 52.1 | 66.6 | -14.5 | 3.2 |
15 | U16 Poland | 25.0 | 8 | 2 | 6 | 515 | 589 | 64.4 | 73.6 | -9.2 | 13.4 |
16 | U16 Belgium | 0.0 | 8 | 0 | 8 | 437 | 580 | 54.6 | 72.5 | -17.9 | 1.9 |
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.