U16 European Championship - Div B basketball (Euro U16)

Standings for 2005-2006 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 U16 Germany U16 Germany 100.0 9 9 0 736 468 81.8 52.0 29.8 99.8
2 U16 Georgia U16 Georgia 75.0 8 6 2 622 532 77.8 66.5 11.3 89.8
3 U16 Estonia U16 Estonia 66.7 9 6 3 704 648 78.2 72.0 6.2 76.0
4 U16 Portugal U16 Portugal 62.5 8 5 3 556 491 69.5 61.4 8.1 84.9
5 U16 Hungary U16 Hungary 62.5 8 5 3 552 513 69.0 64.1 4.9 73.5
6 U16 Sweden U16 Sweden 62.5 8 5 3 562 544 70.3 68.0 2.3 61.1
7 U16 Slovak Republic U16 Slovak Republic 55.6 9 5 4 660 672 73.3 74.7 -1.4 43.8
8 U16 England U16 England 55.6 9 5 4 646 668 71.8 74.2 -2.4 38.6
9 U16 Finland U16 Finland 55.6 9 5 4 613 636 68.1 70.7 -2.6 37.5
10 U16 Bosnia and Herzegovina U16 Bosnia and Herzegovina 50.0 8 4 4 587 568 73.4 71.0 2.4 61.2
11 U16 Romania U16 Romania 50.0 8 4 4 540 579 67.5 72.4 -4.9 27.5
12 U16 Czech Republic U16 Czech Republic 44.4 9 4 5 589 644 65.4 71.6 -6.2 22.4
13 U16 Ireland U16 Ireland 44.4 9 4 5 547 610 60.8 67.8 -7.0 18.0
14 U16 Bulgaria U16 Bulgaria 37.5 8 3 5 529 579 66.1 72.4 -6.3 22.2
15 U16 Cyprus U16 Cyprus 33.3 9 3 6 599 613 66.6 68.1 -1.5 42.0
16 U16 Austria U16 Austria 25.0 8 2 6 489 535 61.1 66.9 -5.8 22.3
17 U16 North Macedonia U16 North Macedonia 11.1 9 1 8 590 693 65.6 77.0 -11.4 9.6
18 U16 Netherlands U16 Netherlands 11.1 9 1 8 502 630 55.8 70.0 -14.2 4.1

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.