U20 European Championship
Standings
U20 European Championship basketball (Euro U20)
Standings for 2006-2007 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U20 Serbia & Montenegro | 100.0 | 8 | 8 | 0 | 630 | 535 | 78.8 | 66.9 | 11.9 | 90.7 |
2 | U20 Russia | 75.0 | 8 | 6 | 2 | 602 | 501 | 75.3 | 62.6 | 12.7 | 92.8 |
3 | U20 Turkey | 62.5 | 8 | 5 | 3 | 607 | 499 | 75.9 | 62.4 | 13.5 | 93.9 |
4 | U20 Bulgaria | 62.5 | 8 | 5 | 3 | 651 | 625 | 81.4 | 78.1 | 3.3 | 63.8 |
5 | U20 Croatia | 62.5 | 8 | 5 | 3 | 608 | 584 | 76.0 | 73.0 | 3.0 | 63.7 |
6 | U20 Slovenia | 62.5 | 8 | 5 | 3 | 625 | 617 | 78.1 | 77.1 | 1.0 | 54.5 |
7 | U20 France | 50.0 | 8 | 4 | 4 | 587 | 512 | 73.4 | 64.0 | 9.4 | 87.0 |
8 | U20 Spain | 50.0 | 8 | 4 | 4 | 617 | 573 | 77.1 | 71.6 | 5.5 | 73.7 |
9 | U20 Italy | 50.0 | 8 | 4 | 4 | 585 | 568 | 73.1 | 71.0 | 2.1 | 60.1 |
10 | U20 Israel | 50.0 | 8 | 4 | 4 | 567 | 567 | 70.9 | 70.9 | 0.0 | 50.0 |
11 | U20 Latvia | 37.5 | 8 | 3 | 5 | 620 | 649 | 77.5 | 81.1 | -3.6 | 34.6 |
12 | U20 Greece | 37.5 | 8 | 3 | 5 | 578 | 621 | 72.3 | 77.6 | -5.3 | 26.9 |
13 | U20 Lithuania | 37.5 | 8 | 3 | 5 | 644 | 694 | 80.5 | 86.8 | -6.3 | 26.1 |
14 | U20 Germany | 25.0 | 8 | 2 | 6 | 522 | 614 | 65.3 | 76.8 | -11.5 | 9.5 |
15 | U20 Belarus | 25.0 | 8 | 2 | 6 | 490 | 585 | 61.3 | 73.1 | -11.8 | 7.8 |
16 | U20 Hungary | 12.5 | 8 | 1 | 7 | 455 | 644 | 56.9 | 80.5 | -23.6 | 0.8 |
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.