U20 European Championship
Standings
U20 European Championship basketball (Euro U20)
Standings for 2005-2006 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U20 Russia | 87.5 | 8 | 7 | 1 | 581 | 487 | 72.6 | 60.9 | 11.7 | 92.1 |
2 | U20 Lithuania | 75.0 | 8 | 6 | 2 | 651 | 514 | 81.4 | 64.3 | 17.1 | 96.4 |
3 | U20 Spain | 75.0 | 8 | 6 | 2 | 600 | 497 | 75.0 | 62.1 | 12.9 | 93.2 |
4 | U20 Serbia & Montenegro | 75.0 | 8 | 6 | 2 | 552 | 476 | 69.0 | 59.5 | 9.5 | 88.7 |
5 | U20 Greece | 75.0 | 8 | 6 | 2 | 581 | 524 | 72.6 | 65.5 | 7.1 | 80.8 |
6 | U20 Croatia | 62.5 | 8 | 5 | 3 | 620 | 568 | 77.5 | 71.0 | 6.5 | 77.2 |
7 | U20 France | 50.0 | 8 | 4 | 4 | 560 | 538 | 70.0 | 67.3 | 2.7 | 63.6 |
8 | U20 Latvia | 50.0 | 8 | 4 | 4 | 556 | 558 | 69.5 | 69.8 | -0.3 | 48.8 |
9 | U20 Slovenia | 50.0 | 8 | 4 | 4 | 553 | 563 | 69.1 | 70.4 | -1.3 | 43.8 |
10 | U20 Israel | 37.5 | 8 | 3 | 5 | 493 | 529 | 61.6 | 66.1 | -4.5 | 27.3 |
11 | U20 Ukraine | 37.5 | 8 | 3 | 5 | 543 | 583 | 67.9 | 72.9 | -5.0 | 27.1 |
12 | U20 Italy | 37.5 | 8 | 3 | 5 | 547 | 607 | 68.4 | 75.9 | -7.5 | 19.0 |
13 | U20 Belarus | 37.5 | 8 | 3 | 5 | 490 | 547 | 61.3 | 68.4 | -7.1 | 17.8 |
14 | U20 Turkey | 25.0 | 8 | 2 | 6 | 507 | 595 | 63.4 | 74.4 | -11.0 | 9.7 |
15 | U20 Germany | 25.0 | 8 | 2 | 6 | 503 | 591 | 62.9 | 73.9 | -11.0 | 9.6 |
16 | U20 Czech Republic | 0.0 | 8 | 0 | 8 | 462 | 622 | 57.8 | 77.8 | -20.0 | 1.6 |
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.