Poland - 1 Liga
Standings
Poland - 1 Liga basketball (POL-2)
Standings for 2013-2014 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Twarde Pierniki Toruń | 84.6 | 26 | 22 | 4 | 1945 | 1691 | 74.8 | 65.0 | 9.8 | 87.5 |
2 | Miasto Szkla Krosno | 76.9 | 26 | 20 | 6 | 1955 | 1675 | 75.2 | 64.4 | 10.8 | 89.6 |
3 | Polfarmex Kutno | 73.1 | 26 | 19 | 7 | 2051 | 1788 | 78.9 | 68.8 | 10.1 | 87.1 |
4 | WKK Wroclaw | 65.4 | 26 | 17 | 9 | 1995 | 1839 | 76.7 | 70.7 | 6.0 | 75.6 |
5 | MKS Dąbrowa Górnicza | 65.4 | 26 | 17 | 9 | 2060 | 1965 | 79.2 | 75.6 | 3.6 | 65.9 |
6 | Rawlplug Sokól Lańcut | 61.5 | 26 | 16 | 10 | 1936 | 1779 | 74.5 | 68.4 | 6.1 | 76.4 |
7 | Pszczolka Start Lublin | 57.7 | 26 | 15 | 11 | 1897 | 1820 | 73.0 | 70.0 | 3.0 | 64.0 |
8 | King Szczecin | 57.7 | 26 | 15 | 11 | 2023 | 1946 | 77.8 | 74.8 | 3.0 | 63.2 |
9 | Stal Ostrów Wielkopolski | 50.0 | 26 | 13 | 13 | 1915 | 1879 | 73.7 | 72.3 | 1.4 | 56.6 |
10 | Enea Astoria Bydgoszcz | 26.9 | 26 | 7 | 19 | 1834 | 2022 | 70.5 | 77.8 | -7.3 | 20.5 |
11 | ZB Pruszków | 26.9 | 26 | 7 | 19 | 1681 | 1886 | 64.7 | 72.5 | -7.8 | 16.8 |
12 | PGE Spójnia Stargard | 23.1 | 26 | 6 | 20 | 1552 | 1861 | 59.7 | 71.6 | -11.9 | 7.4 |
13 | MCKiS Jaworzno | 15.4 | 26 | 4 | 22 | 1728 | 2056 | 66.5 | 79.1 | -12.6 | 8.2 |
14 | AZS Politechnika Poznan | 15.4 | 26 | 4 | 22 | 1681 | 2046 | 64.7 | 78.7 | -14.0 | 6.1 |
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.