U18 European Championship
Standings
U18 European Championship basketball (Euro U18)
Standings for 2022-2023 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | U18 Spain | 100.0 | 7 | 7 | 0 | 496 | 352 | 70.9 | 50.3 | 20.6 | 99.2 |
2 | U18 France | 85.7 | 7 | 6 | 1 | 560 | 383 | 80.0 | 54.7 | 25.3 | 99.5 |
3 | U18 Serbia | 85.7 | 7 | 6 | 1 | 485 | 425 | 69.3 | 60.7 | 8.6 | 86.3 |
4 | U18 Turkey | 71.4 | 7 | 5 | 2 | 504 | 402 | 72.0 | 57.4 | 14.6 | 95.9 |
5 | U18 Lithuania | 71.4 | 7 | 5 | 2 | 535 | 436 | 76.4 | 62.3 | 14.1 | 94.5 |
6 | U18 Italy | 57.1 | 7 | 4 | 3 | 464 | 444 | 66.3 | 63.4 | 2.9 | 64.9 |
7 | U18 Slovenia | 57.1 | 7 | 4 | 3 | 467 | 478 | 66.7 | 68.3 | -1.6 | 42.0 |
8 | U18 Poland | 57.1 | 7 | 4 | 3 | 433 | 455 | 61.9 | 65.0 | -3.1 | 33.4 |
9 | U18 Croatia | 42.9 | 7 | 3 | 4 | 500 | 496 | 71.4 | 70.9 | 0.5 | 52.8 |
10 | U18 Israel | 42.9 | 7 | 3 | 4 | 492 | 503 | 70.3 | 71.9 | -1.6 | 42.4 |
11 | U18 Greece | 28.6 | 7 | 2 | 5 | 453 | 475 | 64.7 | 67.9 | -3.2 | 34.1 |
12 | U18 Germany | 28.6 | 7 | 2 | 5 | 447 | 513 | 63.9 | 73.3 | -9.4 | 12.8 |
13 | U18 Czech Republic | 28.6 | 7 | 2 | 5 | 432 | 513 | 61.7 | 73.3 | -11.6 | 8.4 |
14 | U18 Great Britain | 28.6 | 7 | 2 | 5 | 407 | 576 | 58.1 | 82.3 | -24.2 | 0.8 |
15 | U18 North Macedonia | 14.3 | 7 | 1 | 6 | 416 | 538 | 59.4 | 76.9 | -17.5 | 2.7 |
16 | U18 Montenegro | 0.0 | 7 | 0 | 7 | 413 | 515 | 59.0 | 73.6 | -14.6 | 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.