U16 European Championship - Div B basketball (Euro U16)

Standings for 2004-2005 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 U16 Ukraine U16 Ukraine 100.0 8 8 0 645 371 80.6 46.4 34.2 100.0
2 U16 North Macedonia U16 North Macedonia 77.8 9 7 2 749 580 83.2 64.4 18.8 97.2
3 U16 Iceland U16 Iceland 77.8 9 7 2 652 572 72.4 63.6 8.8 86.1
4 U16 Bosnia and Herzegovina U16 Bosnia and Herzegovina 75.0 8 6 2 607 466 75.9 58.3 17.6 97.5
5 U16 England U16 England 66.7 9 6 3 539 483 59.9 53.7 6.2 82.1
6 U16 Bulgaria U16 Bulgaria 62.5 8 5 3 671 500 83.9 62.5 21.4 98.4
7 U16 Portugal U16 Portugal 62.5 8 5 3 550 464 68.8 58.0 10.8 91.4
8 U16 Czech Republic U16 Czech Republic 55.6 9 5 4 534 540 59.3 60.0 -0.7 46.1
9 U16 Estonia U16 Estonia 50.0 8 4 4 661 548 82.6 68.5 14.1 93.1
10 U16 Romania U16 Romania 50.0 8 4 4 570 568 71.3 71.0 0.3 51.2
11 U16 Hungary U16 Hungary 44.4 9 4 5 581 548 64.6 60.9 3.7 69.3
12 U16 Finland U16 Finland 44.4 9 4 5 574 603 63.8 67.0 -3.2 33.5
13 U16 Netherlands U16 Netherlands 44.4 9 4 5 572 613 63.6 68.1 -4.5 27.6
14 U16 Belarus U16 Belarus 37.5 8 3 5 443 569 55.4 71.1 -15.7 3.0
15 U16 Sweden U16 Sweden 33.3 9 3 6 520 572 57.8 63.6 -5.8 21.0
16 U16 Austria U16 Austria 33.3 9 3 6 526 588 58.4 65.3 -6.9 17.5
17 U16 Ireland U16 Ireland 22.2 9 2 7 495 643 55.0 71.4 -16.4 2.6
18 U16 Cyprus U16 Cyprus 12.5 8 1 7 479 592 59.9 74.0 -14.1 5.0
19 U16 Albania U16 Albania 0.0 8 0 8 352 900 44.0 112.5 -68.5 0.0

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.