Poland - 1 Liga
Standings
Poland - 1 Liga basketball (POL-2)
Standings for 2011-2012 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Start Gdynia | 75.0 | 28 | 21 | 7 | 2311 | 1958 | 82.5 | 69.9 | 12.6 | 90.9 |
2 | HydroTruck Radom | 64.3 | 28 | 18 | 10 | 2025 | 1905 | 72.3 | 68.0 | 4.3 | 70.1 |
3 | SKK Siedlce | 64.3 | 28 | 18 | 10 | 1961 | 1845 | 70.0 | 65.9 | 4.1 | 70.0 |
4 | Rawlplug Sokól Lańcut | 60.7 | 28 | 17 | 11 | 1976 | 1864 | 70.6 | 66.6 | 4.0 | 69.2 |
5 | PGE Spójnia Stargard | 60.7 | 28 | 17 | 11 | 1956 | 1860 | 69.9 | 66.4 | 3.5 | 66.8 |
6 | ZB Pruszków | 60.7 | 28 | 17 | 11 | 2033 | 2011 | 72.6 | 71.8 | 0.8 | 53.8 |
7 | MKS Dąbrowa Górnicza | 57.1 | 28 | 16 | 12 | 2219 | 2024 | 79.3 | 72.3 | 7.0 | 78.2 |
8 | Polfarmex Kutno | 53.6 | 28 | 15 | 13 | 1959 | 1938 | 70.0 | 69.2 | 0.8 | 53.7 |
9 | Przemysl | 50.0 | 28 | 14 | 14 | 2081 | 2089 | 74.3 | 74.6 | -0.3 | 48.7 |
10 | Twarde Pierniki Toruń | 50.0 | 28 | 14 | 14 | 2102 | 2117 | 75.1 | 75.6 | -0.5 | 47.5 |
11 | King Szczecin | 50.0 | 28 | 14 | 14 | 2035 | 2069 | 72.7 | 73.9 | -1.2 | 44.3 |
12 | Pszczolka Start Lublin | 39.3 | 28 | 11 | 17 | 1916 | 2055 | 68.4 | 73.4 | -5.0 | 27.4 |
13 | Miasto Szkla Krosno | 32.1 | 28 | 9 | 19 | 1879 | 2062 | 67.1 | 73.6 | -6.5 | 21.5 |
14 | Sportino Inowroclaw | 21.4 | 28 | 6 | 22 | 1864 | 2106 | 66.6 | 75.2 | -8.6 | 15.5 |
15 | Sudety JG | 10.7 | 28 | 3 | 25 | 1726 | 2140 | 61.6 | 76.4 | -14.8 | 4.8 |
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.