U20 European Championship
Standings
U20 European Championship basketball (Euro U20)
Standings for 2008-2009 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U20 Serbia | 87.5 | 8 | 7 | 1 | 681 | 607 | 85.1 | 75.9 | 9.2 | 83.2 |
2 | U20 Montenegro | 75.0 | 8 | 6 | 2 | 609 | 517 | 76.1 | 64.6 | 11.5 | 90.7 |
3 | U20 Lithuania | 75.0 | 8 | 6 | 2 | 702 | 645 | 87.8 | 80.6 | 7.2 | 76.5 |
4 | U20 Italy | 62.5 | 8 | 5 | 3 | 598 | 536 | 74.8 | 67.0 | 7.8 | 82.1 |
5 | U20 Spain | 62.5 | 8 | 5 | 3 | 635 | 595 | 79.4 | 74.4 | 5.0 | 71.2 |
6 | U20 France | 62.5 | 8 | 5 | 3 | 625 | 596 | 78.1 | 74.5 | 3.6 | 65.9 |
7 | U20 Turkey | 62.5 | 8 | 5 | 3 | 581 | 576 | 72.6 | 72.0 | 0.6 | 53.0 |
8 | U20 Greece | 50.0 | 6 | 3 | 3 | 483 | 436 | 80.5 | 72.7 | 7.8 | 80.6 |
9 | U20 Latvia | 50.0 | 8 | 4 | 4 | 616 | 585 | 77.0 | 73.1 | 3.9 | 67.2 |
10 | U20 Russia | 37.5 | 8 | 3 | 5 | 585 | 604 | 73.1 | 75.5 | -2.4 | 39.1 |
11 | U20 Slovenia | 33.3 | 6 | 2 | 4 | 439 | 490 | 73.2 | 81.7 | -8.5 | 17.8 |
12 | U20 Bulgaria | 33.3 | 6 | 2 | 4 | 446 | 519 | 74.3 | 86.5 | -12.2 | 10.8 |
13 | U20 Israel | 25.0 | 8 | 2 | 6 | 569 | 631 | 71.1 | 78.9 | -7.8 | 19.2 |
14 | U20 Croatia | 25.0 | 8 | 2 | 6 | 565 | 642 | 70.6 | 80.3 | -9.7 | 14.5 |
15 | U20 Ukraine | 25.0 | 8 | 2 | 6 | 611 | 697 | 76.4 | 87.1 | -10.7 | 13.8 |
16 | U20 Georgia | 16.7 | 6 | 1 | 5 | 425 | 494 | 70.8 | 82.3 | -11.5 | 11.0 |
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.