U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 Spain | 85.7 | 7 | 6 | 1 | 608 | 439 | 86.9 | 62.7 | 24.2 | 98.9 |
2 | U18 Serbia | 85.7 | 7 | 6 | 1 | 676 | 550 | 96.6 | 78.6 | 18.0 | 94.6 |
3 | U18 Lithuania | 85.7 | 7 | 6 | 1 | 628 | 519 | 89.7 | 74.1 | 15.6 | 93.4 |
4 | U18 Latvia | 71.4 | 7 | 5 | 2 | 562 | 510 | 80.3 | 72.9 | 7.4 | 79.4 |
5 | U18 Finland | 57.1 | 7 | 4 | 3 | 519 | 493 | 74.1 | 70.4 | 3.7 | 67.1 |
6 | U18 Germany | 57.1 | 7 | 4 | 3 | 525 | 508 | 75.0 | 72.6 | 2.4 | 61.3 |
7 | U18 Russia | 57.1 | 7 | 4 | 3 | 527 | 524 | 75.3 | 74.9 | 0.4 | 52.0 |
8 | U18 France | 57.1 | 7 | 4 | 3 | 542 | 545 | 77.4 | 77.9 | -0.5 | 48.1 |
9 | U18 Greece | 42.9 | 7 | 3 | 4 | 544 | 545 | 77.7 | 77.9 | -0.2 | 49.4 |
10 | U18 Croatia | 42.9 | 7 | 3 | 4 | 482 | 519 | 68.9 | 74.1 | -5.2 | 26.3 |
11 | U18 Italy | 42.9 | 7 | 3 | 4 | 512 | 562 | 73.1 | 80.3 | -7.2 | 21.5 |
12 | U18 Great Britain | 42.9 | 7 | 3 | 4 | 506 | 590 | 72.3 | 84.3 | -12.0 | 10.6 |
13 | U18 Turkey | 28.6 | 7 | 2 | 5 | 472 | 481 | 67.4 | 68.7 | -1.3 | 43.5 |
14 | U18 Ukraine | 28.6 | 7 | 2 | 5 | 467 | 623 | 66.7 | 89.0 | -22.3 | 1.8 |
15 | U18 Montenegro | 14.3 | 7 | 1 | 6 | 527 | 563 | 75.3 | 80.4 | -5.1 | 28.5 |
16 | U18 Bosnia and Herzegovina | 0.0 | 7 | 0 | 7 | 509 | 635 | 72.7 | 90.7 | -18.0 | 4.4 |
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.