EuroBasket (W)
Standings
EuroBasket (W) basketball (EuroBasket)
Standings for 1956-1957 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Soviet Union (W) | 100.0 | 8 | 8 | 0 | 744 | 353 | 93.0 | 44.1 | 48.9 | 100.0 |
2 | Czechoslovakia (W) | 87.5 | 8 | 7 | 1 | 771 | 350 | 96.4 | 43.8 | 52.6 | 100.0 |
3 | Yugoslavia (W) | 75.0 | 8 | 6 | 2 | 547 | 373 | 68.4 | 46.6 | 21.8 | 99.5 |
4 | Hungary (W) | 75.0 | 8 | 6 | 2 | 436 | 388 | 54.5 | 48.5 | 6.0 | 83.5 |
5 | Romania (W) | 62.5 | 8 | 5 | 3 | 493 | 325 | 61.6 | 40.6 | 21.0 | 99.7 |
6 | Poland (W) | 62.5 | 8 | 5 | 3 | 530 | 434 | 66.3 | 54.3 | 12.0 | 94.2 |
7 | Bulgaria (W) | 62.5 | 8 | 5 | 3 | 571 | 505 | 71.4 | 63.1 | 8.3 | 84.7 |
8 | France (W) | 50.0 | 8 | 4 | 4 | 422 | 435 | 52.8 | 54.4 | -1.6 | 39.6 |
9 | Netherlands (W) | 37.5 | 8 | 3 | 5 | 425 | 412 | 53.1 | 51.5 | 1.6 | 60.6 |
10 | Italy (W) | 37.5 | 8 | 3 | 5 | 448 | 441 | 56.0 | 55.1 | 0.9 | 55.5 |
11 | Finland (W) | 37.5 | 8 | 3 | 5 | 340 | 510 | 42.5 | 63.8 | -21.3 | 0.4 |
12 | Denmark (W) | 37.5 | 8 | 3 | 5 | 267 | 484 | 33.4 | 60.5 | -27.1 | 0.0 |
13 | Germany (W) | 25.0 | 8 | 2 | 6 | 323 | 432 | 40.4 | 54.0 | -13.6 | 1.7 |
14 | Austria (W) | 25.0 | 8 | 2 | 6 | 359 | 623 | 44.9 | 77.9 | -33.0 | 0.0 |
15 | Switzerland (W) | 25.0 | 8 | 2 | 6 | 314 | 607 | 39.3 | 75.9 | -36.6 | 0.0 |
16 | Scotland (W) | 0.0 | 8 | 0 | 8 | 272 | 590 | 34.0 | 73.8 | -39.8 | 0.0 |
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.