U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2014-2015 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 Croatia | 88.9 | 9 | 8 | 1 | 752 | 593 | 83.6 | 65.9 | 17.7 | 96.5 |
2 | U18 Turkey | 77.8 | 9 | 7 | 2 | 696 | 592 | 77.3 | 65.8 | 11.5 | 90.5 |
3 | U18 Serbia | 77.8 | 9 | 7 | 2 | 667 | 603 | 74.1 | 67.0 | 7.1 | 80.3 |
4 | U18 France | 55.6 | 9 | 5 | 4 | 624 | 531 | 69.3 | 59.0 | 10.3 | 90.4 |
5 | U18 Greece | 55.6 | 9 | 5 | 4 | 658 | 613 | 73.1 | 68.1 | 5.0 | 72.8 |
6 | U18 Montenegro | 55.6 | 9 | 5 | 4 | 644 | 626 | 71.6 | 69.6 | 2.0 | 59.7 |
7 | U18 Italy | 55.6 | 9 | 5 | 4 | 635 | 619 | 70.6 | 68.8 | 1.8 | 58.8 |
8 | U18 Russia | 55.6 | 9 | 5 | 4 | 596 | 596 | 66.2 | 66.2 | 0.0 | 50.0 |
9 | U18 Spain | 55.6 | 9 | 5 | 4 | 649 | 666 | 72.1 | 74.0 | -1.9 | 41.1 |
10 | U18 Lithuania | 44.4 | 9 | 4 | 5 | 651 | 654 | 72.3 | 72.7 | -0.4 | 48.4 |
11 | U18 Czech Republic | 44.4 | 9 | 4 | 5 | 586 | 641 | 65.1 | 71.2 | -6.1 | 22.3 |
12 | U18 Latvia | 44.4 | 9 | 4 | 5 | 590 | 670 | 65.6 | 74.4 | -8.8 | 14.6 |
13 | U18 Bosnia and Herzegovina | 33.3 | 9 | 3 | 6 | 619 | 673 | 68.8 | 74.8 | -6.0 | 23.8 |
14 | U18 Belgium | 33.3 | 9 | 3 | 6 | 604 | 662 | 67.1 | 73.6 | -6.5 | 21.8 |
15 | U18 Poland | 11.1 | 9 | 1 | 8 | 619 | 720 | 68.8 | 80.0 | -11.2 | 10.9 |
16 | U18 England | 11.1 | 9 | 1 | 8 | 526 | 657 | 58.4 | 73.0 | -14.6 | 4.3 |
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.