U16 European Championship
Standings
U16 European Championship basketball (Euro U16)
Standings for 2019-2020 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U16 Spain | 100.0 | 7 | 7 | 0 | 507 | 408 | 72.4 | 58.3 | 14.1 | 95.4 |
2 | U16 France | 85.7 | 7 | 6 | 1 | 514 | 407 | 73.4 | 58.1 | 15.3 | 96.3 |
3 | U16 Turkey | 85.7 | 7 | 6 | 1 | 547 | 444 | 78.1 | 63.4 | 14.7 | 94.8 |
4 | U16 Lithuania | 71.4 | 7 | 5 | 2 | 572 | 490 | 81.7 | 70.0 | 11.7 | 89.6 |
5 | U16 Italy | 71.4 | 7 | 5 | 2 | 490 | 465 | 70.0 | 66.4 | 3.6 | 67.4 |
6 | U16 Serbia | 57.1 | 7 | 4 | 3 | 523 | 476 | 74.7 | 68.0 | 6.7 | 78.7 |
7 | U16 Israel | 57.1 | 7 | 4 | 3 | 541 | 504 | 77.3 | 72.0 | 5.3 | 72.8 |
8 | U16 Russia | 57.1 | 7 | 4 | 3 | 478 | 479 | 68.3 | 68.4 | -0.1 | 49.3 |
9 | U16 Greece | 42.9 | 7 | 3 | 4 | 470 | 458 | 67.1 | 65.4 | 1.7 | 58.9 |
10 | U16 Slovenia | 42.9 | 7 | 3 | 4 | 484 | 505 | 69.1 | 72.1 | -3.0 | 35.6 |
11 | U16 Croatia | 42.9 | 7 | 3 | 4 | 493 | 524 | 70.4 | 74.9 | -4.5 | 30.0 |
12 | U16 North Macedonia | 28.6 | 7 | 2 | 5 | 484 | 517 | 69.1 | 73.9 | -4.8 | 28.5 |
13 | U16 Latvia | 28.6 | 7 | 2 | 5 | 435 | 531 | 62.1 | 75.9 | -13.8 | 5.9 |
14 | U16 Germany | 14.3 | 7 | 1 | 6 | 478 | 476 | 68.3 | 68.0 | 0.3 | 51.5 |
15 | U16 Estonia | 14.3 | 7 | 1 | 6 | 388 | 525 | 55.4 | 75.0 | -19.6 | 1.5 |
16 | U16 Bosnia and Herzegovina | 0.0 | 7 | 0 | 7 | 384 | 579 | 54.9 | 82.7 | -27.8 | 0.3 |
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.