U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2005-2006 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 Serbia & Montenegro | 100.0 | 7 | 7 | 0 | 573 | 476 | 81.9 | 68.0 | 13.9 | 93.0 |
2 | U18 Turkey | 85.7 | 7 | 6 | 1 | 530 | 459 | 75.7 | 65.6 | 10.1 | 88.1 |
3 | U18 Slovenia | 85.7 | 7 | 6 | 1 | 458 | 413 | 65.4 | 59.0 | 6.4 | 80.8 |
4 | U18 France | 71.4 | 7 | 5 | 2 | 525 | 462 | 75.0 | 66.0 | 9.0 | 85.5 |
5 | U18 Spain | 71.4 | 7 | 5 | 2 | 566 | 526 | 80.9 | 75.1 | 5.8 | 73.5 |
6 | U18 Russia | 57.1 | 7 | 4 | 3 | 577 | 528 | 82.4 | 75.4 | 7.0 | 77.5 |
7 | U18 Greece | 57.1 | 7 | 4 | 3 | 567 | 557 | 81.0 | 79.6 | 1.4 | 56.2 |
8 | U18 Italy | 57.1 | 7 | 4 | 3 | 476 | 475 | 68.0 | 67.9 | 0.1 | 50.7 |
9 | U18 Lithuania | 42.9 | 7 | 3 | 4 | 545 | 535 | 77.9 | 76.4 | 1.5 | 56.4 |
10 | U18 Germany | 42.9 | 7 | 3 | 4 | 517 | 541 | 73.9 | 77.3 | -3.4 | 34.7 |
11 | U18 Croatia | 28.6 | 7 | 2 | 5 | 546 | 532 | 78.0 | 76.0 | 2.0 | 58.9 |
12 | U18 Latvia | 28.6 | 7 | 2 | 5 | 508 | 533 | 72.6 | 76.1 | -3.5 | 33.9 |
13 | U18 Israel | 28.6 | 7 | 2 | 5 | 488 | 516 | 69.7 | 73.7 | -4.0 | 31.5 |
14 | U18 Bulgaria | 28.6 | 7 | 2 | 5 | 459 | 509 | 65.6 | 72.7 | -7.1 | 19.2 |
15 | U18 Poland | 14.3 | 7 | 1 | 6 | 454 | 598 | 64.9 | 85.4 | -20.5 | 2.1 |
16 | U18 Belgium | 0.0 | 7 | 0 | 7 | 481 | 610 | 68.7 | 87.1 | -18.4 | 3.5 |
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.