U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2016-2017 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 France | 100.0 | 6 | 6 | 0 | 437 | 367 | 72.8 | 61.2 | 11.6 | 91.9 |
2 | U18 Italy | 83.3 | 6 | 5 | 1 | 434 | 402 | 72.3 | 67.0 | 5.3 | 74.4 |
3 | U18 Germany | 66.7 | 6 | 4 | 2 | 465 | 420 | 77.5 | 70.0 | 7.5 | 80.5 |
4 | U18 Spain | 66.7 | 6 | 4 | 2 | 415 | 376 | 69.2 | 62.7 | 6.5 | 79.8 |
5 | U18 Lithuania | 66.7 | 6 | 4 | 2 | 445 | 435 | 74.2 | 72.5 | 1.7 | 57.8 |
6 | U18 Latvia | 66.7 | 6 | 4 | 2 | 446 | 441 | 74.3 | 73.5 | 0.8 | 53.9 |
7 | U18 Greece | 66.7 | 6 | 4 | 2 | 445 | 442 | 74.2 | 73.7 | 0.5 | 52.4 |
8 | U18 Russia | 50.0 | 6 | 3 | 3 | 417 | 364 | 69.5 | 60.7 | 8.8 | 86.9 |
9 | U18 Bosnia and Herzegovina | 50.0 | 6 | 3 | 3 | 468 | 470 | 78.0 | 78.3 | -0.3 | 48.5 |
10 | U18 Serbia | 50.0 | 6 | 3 | 3 | 388 | 396 | 64.7 | 66.0 | -1.3 | 43.0 |
11 | U18 Croatia | 33.3 | 6 | 2 | 4 | 450 | 480 | 75.0 | 80.0 | -5.0 | 29.0 |
12 | U18 Turkey | 33.3 | 6 | 2 | 4 | 397 | 436 | 66.2 | 72.7 | -6.5 | 21.4 |
13 | U18 Slovenia | 33.3 | 6 | 2 | 4 | 384 | 433 | 64.0 | 72.2 | -8.2 | 15.8 |
14 | U18 Israel | 16.7 | 6 | 1 | 5 | 497 | 490 | 82.8 | 81.7 | 1.1 | 54.9 |
15 | U18 Finland | 16.7 | 6 | 1 | 5 | 394 | 456 | 65.7 | 76.0 | -10.3 | 11.6 |
16 | U18 Sweden | 0.0 | 6 | 0 | 6 | 398 | 472 | 66.3 | 78.7 | -12.4 | 8.5 |
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.