U20 European Championship - Div B 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 Germany U20 Germany 100.0 8 8 0 765 503 95.6 62.9 32.7 99.7
2 U20 Belgium U20 Belgium 87.5 8 7 1 682 576 85.3 72.0 13.3 91.3
3 U20 Czech Republic U20 Czech Republic 75.0 8 6 2 695 591 86.9 73.9 13.0 90.5
4 U20 Sweden U20 Sweden 62.5 8 5 3 656 566 82.0 70.8 11.2 88.6
5 U20 Estonia U20 Estonia 62.5 8 5 3 634 608 79.3 76.0 3.3 64.2
6 U20 Portugal U20 Portugal 62.5 8 5 3 590 581 73.8 72.6 1.2 55.3
7 U20 Poland U20 Poland 57.1 7 4 3 511 460 73.0 65.7 7.3 81.2
8 U20 Romania U20 Romania 57.1 7 4 3 525 515 75.0 73.6 1.4 56.6
9 U20 North Macedonia U20 North Macedonia 50.0 8 4 4 582 586 72.8 73.3 -0.5 47.6
10 U20 Austria U20 Austria 50.0 8 4 4 603 613 75.4 76.6 -1.2 44.3
11 U20 Netherlands U20 Netherlands 42.9 7 3 4 484 475 69.1 67.9 1.2 56.5
12 U20 Norway U20 Norway 37.5 8 3 5 692 669 86.5 83.6 2.9 61.5
13 U20 Great Britain U20 Great Britain 37.5 8 3 5 625 618 78.1 77.3 0.8 53.9
14 U20 Slovak Republic U20 Slovak Republic 37.5 8 3 5 523 572 65.4 71.5 -6.1 22.3
15 U20 Finland U20 Finland 33.3 6 2 4 496 470 82.7 78.3 4.4 67.9
16 U20 Switzerland U20 Switzerland 33.3 6 2 4 404 454 67.3 75.7 -8.4 16.5
17 U20 Hungary U20 Hungary 28.6 7 2 5 464 513 66.3 73.3 -7.0 19.8
18 U20 Ireland U20 Ireland 12.5 8 1 7 467 727 58.4 90.9 -32.5 0.2
19 U20 Azerbaijan U20 Azerbaijan 0.0 6 0 6 308 609 51.3 101.5 -50.2 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.