U20 European Championship
Standings
U20 European Championship basketball (Euro U20)
Standings for 2019-2020 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U20 Spain | 85.7 | 7 | 6 | 1 | 546 | 470 | 78.0 | 67.1 | 10.9 | 88.9 |
2 | U20 Israel | 85.7 | 7 | 6 | 1 | 614 | 542 | 87.7 | 77.4 | 10.3 | 85.0 |
3 | U20 France | 71.4 | 7 | 5 | 2 | 488 | 435 | 69.7 | 62.1 | 7.6 | 83.2 |
4 | U20 Lithuania | 71.4 | 7 | 5 | 2 | 636 | 576 | 90.9 | 82.3 | 8.6 | 79.9 |
5 | U20 Greece | 71.4 | 7 | 5 | 2 | 594 | 545 | 84.9 | 77.9 | 7.0 | 76.8 |
6 | U20 Germany | 57.1 | 7 | 4 | 3 | 525 | 479 | 75.0 | 68.4 | 6.6 | 78.2 |
7 | U20 Croatia | 57.1 | 7 | 4 | 3 | 570 | 535 | 81.4 | 76.4 | 5.0 | 70.7 |
8 | U20 Turkey | 57.1 | 7 | 4 | 3 | 525 | 509 | 75.0 | 72.7 | 2.3 | 60.6 |
9 | U20 Italy | 42.9 | 7 | 3 | 4 | 536 | 496 | 76.6 | 70.9 | 5.7 | 74.6 |
10 | U20 Serbia | 42.9 | 7 | 3 | 4 | 506 | 509 | 72.3 | 72.7 | -0.4 | 47.9 |
11 | U20 Slovenia | 42.9 | 7 | 3 | 4 | 522 | 539 | 74.6 | 77.0 | -2.4 | 39.0 |
12 | U20 Ukraine | 42.9 | 7 | 3 | 4 | 486 | 547 | 69.4 | 78.1 | -8.7 | 16.2 |
13 | U20 Montenegro | 28.6 | 7 | 2 | 5 | 470 | 507 | 67.1 | 72.4 | -5.3 | 25.8 |
14 | U20 Poland | 28.6 | 7 | 2 | 5 | 486 | 576 | 69.4 | 82.3 | -12.9 | 8.6 |
15 | U20 Great Britain | 14.3 | 7 | 1 | 6 | 467 | 554 | 66.7 | 79.1 | -12.4 | 8.5 |
16 | U20 Latvia | 0.0 | 7 | 0 | 7 | 454 | 606 | 64.9 | 86.6 | -21.7 | 1.8 |
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.