Poland - 1 Liga
Standings
Poland - 1 Liga basketball (POL-2)
Standings for 2014-2015 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Miasto Szkla Krosno | 76.9 | 26 | 20 | 6 | 2117 | 1770 | 81.4 | 68.1 | 13.3 | 92.3 |
2 | Stal Ostrów Wielkopolski | 76.9 | 26 | 20 | 6 | 2118 | 1817 | 81.5 | 69.9 | 11.6 | 89.4 |
3 | Rawlplug Sokól Lańcut | 76.9 | 26 | 20 | 6 | 2018 | 1774 | 77.6 | 68.2 | 9.4 | 85.7 |
4 | Legia Warszawa | 57.7 | 26 | 15 | 11 | 2034 | 1770 | 78.2 | 68.1 | 10.1 | 87.4 |
5 | PGE Spójnia Stargard | 57.7 | 26 | 15 | 11 | 1840 | 1762 | 70.8 | 67.8 | 3.0 | 64.6 |
6 | ZB Pruszków | 57.7 | 26 | 15 | 11 | 1936 | 1927 | 74.5 | 74.1 | 0.4 | 51.6 |
7 | Zaglebie Sosnowiec | 53.9 | 26 | 14 | 12 | 1983 | 1945 | 76.3 | 74.8 | 1.5 | 56.7 |
8 | Rosa Radom II | 53.9 | 26 | 14 | 12 | 1979 | 1963 | 76.1 | 75.5 | 0.6 | 52.8 |
9 | GKS Tychy | 42.3 | 26 | 11 | 15 | 1813 | 1866 | 69.7 | 71.8 | -2.1 | 40.1 |
10 | GTK Gliwice | 42.3 | 26 | 11 | 15 | 1813 | 1903 | 69.7 | 73.2 | -3.5 | 33.8 |
11 | Pogoń Prudnik | 30.8 | 26 | 8 | 18 | 1795 | 1943 | 69.0 | 74.7 | -5.7 | 24.9 |
12 | Enea Astoria Bydgoszcz | 30.8 | 26 | 8 | 18 | 1755 | 2033 | 67.5 | 78.2 | -10.7 | 11.5 |
13 | SKK Siedlce | 26.9 | 26 | 7 | 19 | 1757 | 2023 | 67.6 | 77.8 | -10.2 | 12.3 |
14 | AZS Politechnika Poznan | 15.4 | 26 | 4 | 22 | 1596 | 2058 | 61.4 | 79.2 | -17.8 | 2.8 |
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.