U16 European Championship
Standings
U16 European Championship basketball (Euro U16)
Standings for 2007-2008 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U16 Serbia | 100.0 | 8 | 8 | 0 | 579 | 452 | 72.4 | 56.5 | 15.9 | 96.9 |
2 | U16 Lithuania | 75.0 | 8 | 6 | 2 | 665 | 474 | 83.1 | 59.3 | 23.8 | 99.1 |
3 | U16 Spain | 75.0 | 8 | 6 | 2 | 555 | 468 | 69.4 | 58.5 | 10.9 | 91.5 |
4 | U16 Turkey | 75.0 | 8 | 6 | 2 | 588 | 499 | 73.5 | 62.4 | 11.1 | 90.7 |
5 | U16 Greece | 62.5 | 8 | 5 | 3 | 531 | 494 | 66.4 | 61.8 | 4.6 | 73.2 |
6 | U16 Italy | 62.5 | 8 | 5 | 3 | 521 | 487 | 65.1 | 60.9 | 4.2 | 71.9 |
7 | U16 France | 62.5 | 8 | 5 | 3 | 477 | 479 | 59.6 | 59.9 | -0.3 | 48.5 |
8 | U16 Russia | 50.0 | 6 | 3 | 3 | 388 | 379 | 64.7 | 63.2 | 1.5 | 58.1 |
9 | U16 Czech Republic | 50.0 | 6 | 3 | 3 | 356 | 357 | 59.3 | 59.5 | -0.2 | 49.0 |
10 | U16 Latvia | 50.0 | 8 | 4 | 4 | 526 | 554 | 65.8 | 69.3 | -3.5 | 32.7 |
11 | U16 Israel | 25.0 | 8 | 2 | 6 | 504 | 527 | 63.0 | 65.9 | -2.9 | 35.0 |
12 | U16 Croatia | 25.0 | 8 | 2 | 6 | 554 | 584 | 69.3 | 73.0 | -3.7 | 32.4 |
13 | U16 Ukraine | 25.0 | 8 | 2 | 6 | 486 | 584 | 60.8 | 73.0 | -12.2 | 7.2 |
14 | U16 Georgia | 25.0 | 8 | 2 | 6 | 501 | 636 | 62.6 | 79.5 | -16.9 | 3.5 |
15 | U16 Slovenia | 16.7 | 6 | 1 | 5 | 377 | 425 | 62.8 | 70.8 | -8.0 | 15.9 |
16 | U16 Portugal | 0.0 | 6 | 0 | 6 | 273 | 482 | 45.5 | 80.3 | -34.8 | 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.