U16 European Championship
Standings
U16 European Championship basketball (Euro U16)
Standings for 2016-2017 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U16 Spain | 100.0 | 7 | 7 | 0 | 561 | 448 | 80.1 | 64.0 | 16.1 | 95.8 |
2 | U16 Lithuania | 85.7 | 7 | 6 | 1 | 584 | 456 | 83.4 | 65.1 | 18.3 | 96.9 |
3 | U16 Finland | 85.7 | 7 | 6 | 1 | 520 | 451 | 74.3 | 64.4 | 9.9 | 87.9 |
4 | U16 Turkey | 71.4 | 7 | 5 | 2 | 498 | 462 | 71.1 | 66.0 | 5.1 | 74.0 |
5 | U16 Germany | 71.4 | 7 | 5 | 2 | 446 | 449 | 63.7 | 64.1 | -0.4 | 47.7 |
6 | U16 Croatia | 57.1 | 7 | 4 | 3 | 446 | 411 | 63.7 | 58.7 | 5.0 | 75.7 |
7 | U16 Italy | 42.9 | 7 | 3 | 4 | 525 | 492 | 75.0 | 70.3 | 4.7 | 71.2 |
8 | U16 Latvia | 42.9 | 7 | 3 | 4 | 515 | 501 | 73.6 | 71.6 | 2.0 | 59.5 |
9 | U16 Serbia | 42.9 | 7 | 3 | 4 | 480 | 485 | 68.6 | 69.3 | -0.7 | 46.4 |
10 | U16 France | 42.9 | 7 | 3 | 4 | 434 | 439 | 62.0 | 62.7 | -0.7 | 46.0 |
11 | U16 Montenegro | 42.9 | 7 | 3 | 4 | 473 | 511 | 67.6 | 73.0 | -5.4 | 25.4 |
12 | U16 Greece | 28.6 | 7 | 2 | 5 | 419 | 440 | 59.9 | 62.9 | -3.0 | 33.6 |
13 | U16 Estonia | 28.6 | 7 | 2 | 5 | 449 | 494 | 64.1 | 70.6 | -6.5 | 20.9 |
14 | U16 Sweden | 28.6 | 7 | 2 | 5 | 409 | 502 | 58.4 | 71.7 | -13.3 | 5.5 |
15 | U16 Poland | 14.3 | 7 | 1 | 6 | 451 | 542 | 64.4 | 77.4 | -13.0 | 7.2 |
16 | U16 Bosnia and Herzegovina | 14.3 | 7 | 1 | 6 | 386 | 513 | 55.1 | 73.3 | -18.2 | 1.9 |
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.