U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2007-2008 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 Greece | 100.0 | 7 | 7 | 0 | 589 | 492 | 84.1 | 70.3 | 13.8 | 92.4 |
2 | U18 Serbia | 85.7 | 7 | 6 | 1 | 643 | 455 | 91.9 | 65.0 | 26.9 | 99.2 |
3 | U18 Spain | 85.7 | 7 | 6 | 1 | 611 | 475 | 87.3 | 67.9 | 19.4 | 97.1 |
4 | U18 France | 71.4 | 7 | 5 | 2 | 534 | 438 | 76.3 | 62.6 | 13.7 | 94.0 |
5 | U18 Lithuania | 71.4 | 7 | 5 | 2 | 555 | 493 | 79.3 | 70.4 | 8.9 | 83.9 |
6 | U18 Latvia | 71.4 | 7 | 5 | 2 | 536 | 516 | 76.6 | 73.7 | 2.9 | 62.9 |
7 | U18 Italy | 50.0 | 6 | 3 | 3 | 479 | 394 | 79.8 | 65.7 | 14.1 | 93.8 |
8 | U18 Russia | 42.9 | 7 | 3 | 4 | 490 | 487 | 70.0 | 69.6 | 0.4 | 52.1 |
9 | U18 Turkey | 42.9 | 7 | 3 | 4 | 524 | 537 | 74.9 | 76.7 | -1.8 | 41.6 |
10 | U18 Germany | 42.9 | 7 | 3 | 4 | 500 | 553 | 71.4 | 79.0 | -7.6 | 19.8 |
11 | U18 Bulgaria | 33.3 | 6 | 2 | 4 | 429 | 454 | 71.5 | 75.7 | -4.2 | 31.3 |
12 | U18 Slovenia | 33.3 | 6 | 2 | 4 | 365 | 401 | 60.8 | 66.8 | -6.0 | 21.3 |
13 | U18 Israel | 28.6 | 7 | 2 | 5 | 486 | 573 | 69.4 | 81.9 | -12.5 | 9.2 |
14 | U18 Croatia | 14.3 | 7 | 1 | 6 | 499 | 550 | 71.3 | 78.6 | -7.3 | 20.5 |
15 | U18 Estonia | 14.3 | 7 | 1 | 6 | 413 | 539 | 59.0 | 77.0 | -18.0 | 2.4 |
16 | U18 Romania | 0.0 | 6 | 0 | 6 | 284 | 580 | 47.3 | 96.7 | -49.4 | 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.