U16 European Championship
Standings
U16 European Championship basketball (Euro U16)
Standings for 2012-2013 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U16 Turkey | 77.8 | 9 | 7 | 2 | 658 | 593 | 73.1 | 65.9 | 7.2 | 81.0 |
2 | U16 Italy | 77.8 | 9 | 7 | 2 | 670 | 614 | 74.4 | 68.2 | 6.2 | 77.1 |
3 | U16 Serbia | 77.8 | 9 | 7 | 2 | 602 | 566 | 66.9 | 62.9 | 4.0 | 70.2 |
4 | U16 France | 66.7 | 9 | 6 | 3 | 562 | 499 | 62.4 | 55.4 | 7.0 | 83.9 |
5 | U16 Germany | 66.7 | 9 | 6 | 3 | 590 | 547 | 65.6 | 60.8 | 4.8 | 74.1 |
6 | U16 Russia | 66.7 | 9 | 6 | 3 | 644 | 620 | 71.6 | 68.9 | 2.7 | 62.9 |
7 | U16 Greece | 50.0 | 8 | 4 | 4 | 519 | 499 | 64.9 | 62.4 | 2.5 | 63.3 |
8 | U16 Lithuania | 50.0 | 8 | 4 | 4 | 565 | 551 | 70.6 | 68.9 | 1.7 | 58.6 |
9 | U16 Croatia | 44.4 | 9 | 4 | 5 | 673 | 663 | 74.8 | 73.7 | 1.1 | 55.2 |
10 | U16 Poland | 44.4 | 9 | 4 | 5 | 636 | 651 | 70.7 | 72.3 | -1.6 | 42.0 |
11 | U16 Spain | 44.4 | 9 | 4 | 5 | 621 | 648 | 69.0 | 72.0 | -3.0 | 35.6 |
12 | U16 Latvia | 37.5 | 8 | 3 | 5 | 533 | 552 | 66.6 | 69.0 | -2.4 | 38.1 |
13 | U16 Slovenia | 33.3 | 9 | 3 | 6 | 603 | 673 | 67.0 | 74.8 | -7.8 | 17.8 |
14 | U16 Ukraine | 25.0 | 8 | 2 | 6 | 553 | 581 | 69.1 | 72.6 | -3.5 | 33.5 |
15 | U16 Czech Republic | 22.2 | 9 | 2 | 7 | 593 | 673 | 65.9 | 74.8 | -8.9 | 14.7 |
16 | U16 England | 11.1 | 9 | 1 | 8 | 565 | 657 | 62.8 | 73.0 | -10.2 | 10.9 |
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.