U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 Lithuania | 100.0 | 7 | 7 | 0 | 598 | 443 | 85.4 | 63.3 | 22.1 | 98.5 |
2 | U18 Serbia | 71.4 | 7 | 5 | 2 | 515 | 451 | 73.6 | 64.4 | 9.2 | 86.4 |
3 | U18 Turkey | 71.4 | 7 | 5 | 2 | 527 | 474 | 75.3 | 67.7 | 7.6 | 81.4 |
4 | U18 Spain | 71.4 | 7 | 5 | 2 | 534 | 484 | 76.3 | 69.1 | 7.2 | 79.7 |
5 | U18 France | 71.4 | 7 | 5 | 2 | 508 | 469 | 72.6 | 67.0 | 5.6 | 75.2 |
6 | U18 Greece | 66.7 | 6 | 4 | 2 | 418 | 366 | 69.7 | 61.0 | 8.7 | 86.4 |
7 | U18 Italy | 57.1 | 7 | 4 | 3 | 491 | 455 | 70.1 | 65.0 | 5.1 | 74.3 |
8 | U18 Croatia | 57.1 | 7 | 4 | 3 | 504 | 500 | 72.0 | 71.4 | 0.6 | 52.8 |
9 | U18 Russia | 42.9 | 7 | 3 | 4 | 484 | 454 | 69.1 | 64.9 | 4.2 | 70.9 |
10 | U18 Ukraine | 33.3 | 6 | 2 | 4 | 418 | 482 | 69.7 | 80.3 | -10.6 | 12.1 |
11 | U18 Israel | 33.3 | 6 | 2 | 4 | 374 | 434 | 62.3 | 72.3 | -10.0 | 11.2 |
12 | U18 Slovenia | 28.6 | 7 | 2 | 5 | 500 | 554 | 71.4 | 79.1 | -7.7 | 19.4 |
13 | U18 Latvia | 28.6 | 7 | 2 | 5 | 450 | 501 | 64.3 | 71.6 | -7.3 | 18.3 |
14 | U18 Germany | 28.6 | 7 | 2 | 5 | 457 | 519 | 65.3 | 74.1 | -8.8 | 14.6 |
15 | U18 Bulgaria | 28.6 | 7 | 2 | 5 | 378 | 501 | 54.0 | 71.6 | -17.6 | 1.9 |
16 | U18 Czech Republic | 0.0 | 6 | 0 | 6 | 380 | 449 | 63.3 | 74.8 | -11.5 | 8.9 |
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.