U20 European Championship
Standings
U20 European Championship basketball (Euro U20)
Standings for 2012-2013 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U20 Serbia | 77.8 | 9 | 7 | 2 | 690 | 573 | 76.7 | 63.7 | 13.0 | 93.0 |
2 | U20 Slovenia | 77.8 | 9 | 7 | 2 | 636 | 617 | 70.7 | 68.6 | 2.1 | 60.4 |
3 | U20 Lithuania | 66.7 | 9 | 6 | 3 | 678 | 590 | 75.3 | 65.6 | 9.7 | 87.4 |
4 | U20 Germany | 66.7 | 9 | 6 | 3 | 600 | 573 | 66.7 | 63.7 | 3.0 | 65.5 |
5 | U20 Turkey | 62.5 | 8 | 5 | 3 | 577 | 531 | 72.1 | 66.4 | 5.7 | 76.1 |
6 | U20 Spain | 55.6 | 9 | 5 | 4 | 652 | 569 | 72.4 | 63.2 | 9.2 | 86.9 |
7 | U20 France | 55.6 | 9 | 5 | 4 | 624 | 551 | 69.3 | 61.2 | 8.1 | 84.9 |
8 | U20 Sweden | 55.6 | 9 | 5 | 4 | 650 | 638 | 72.2 | 70.9 | 1.3 | 56.4 |
9 | U20 Russia | 50.0 | 8 | 4 | 4 | 566 | 568 | 70.8 | 71.0 | -0.2 | 48.8 |
10 | U20 Italy | 50.0 | 8 | 4 | 4 | 598 | 623 | 74.8 | 77.9 | -3.1 | 36.1 |
11 | U20 Latvia | 44.4 | 9 | 4 | 5 | 638 | 628 | 70.9 | 69.8 | 1.1 | 55.5 |
12 | U20 Montenegro | 44.4 | 9 | 4 | 5 | 669 | 678 | 74.3 | 75.3 | -1.0 | 45.4 |
13 | U20 Greece | 33.3 | 9 | 3 | 6 | 631 | 687 | 70.1 | 76.3 | -6.2 | 23.5 |
14 | U20 Ukraine | 25.0 | 8 | 2 | 6 | 539 | 627 | 67.4 | 78.4 | -11.0 | 10.9 |
15 | U20 Estonia | 22.2 | 9 | 2 | 7 | 622 | 716 | 69.1 | 79.6 | -10.5 | 12.4 |
16 | U20 Georgia | 11.1 | 9 | 1 | 8 | 592 | 793 | 65.8 | 88.1 | -22.3 | 1.7 |
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.