Poland - PLK
Standings
Poland - PLK basketball (POL-1)
Standings for 2019-2020 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Enea Zastal Zielona Góra | 86.4 | 22 | 19 | 3 | 2097 | 1806 | 95.3 | 82.1 | 13.2 | 88.9 |
2 | Anwil Wloclawek | 77.3 | 22 | 17 | 5 | 2078 | 1837 | 94.5 | 83.5 | 11.0 | 84.7 |
3 | Pszczolka Start Lublin | 77.3 | 22 | 17 | 5 | 1867 | 1716 | 84.9 | 78.0 | 6.9 | 76.4 |
4 | Twarde Pierniki Toruń | 75.0 | 20 | 15 | 5 | 1755 | 1583 | 87.8 | 79.2 | 8.6 | 80.8 |
5 | Arka Gdynia | 63.6 | 22 | 14 | 8 | 1765 | 1655 | 80.2 | 75.2 | 5.0 | 71.0 |
6 | Trefl Sopot | 54.6 | 22 | 12 | 10 | 1786 | 1792 | 81.2 | 81.5 | -0.3 | 48.8 |
7 | WKS Slask Wroclaw | 50.0 | 22 | 11 | 11 | 1910 | 1861 | 86.8 | 84.6 | 2.2 | 58.9 |
8 | King Szczecin | 50.0 | 22 | 11 | 11 | 1834 | 1848 | 83.4 | 84.0 | -0.6 | 47.4 |
9 | Enea Astoria Bydgoszcz | 47.6 | 21 | 10 | 11 | 1839 | 1847 | 87.6 | 88.0 | -0.4 | 48.5 |
10 | Stal Ostrów Wielkopolski | 45.5 | 22 | 10 | 12 | 1772 | 1746 | 80.5 | 79.4 | 1.1 | 55.1 |
11 | PGE Spójnia Stargard | 45.5 | 22 | 10 | 12 | 1724 | 1772 | 78.4 | 80.5 | -2.1 | 40.6 |
12 | HydroTruck Radom | 40.9 | 22 | 9 | 13 | 1711 | 1790 | 77.8 | 81.4 | -3.6 | 34.8 |
13 | GTK Gliwice | 31.8 | 22 | 7 | 15 | 1857 | 1973 | 84.4 | 89.7 | -5.3 | 30.1 |
14 | Legia Warszawa | 22.7 | 22 | 5 | 17 | 1773 | 1976 | 80.6 | 89.8 | -9.2 | 18.1 |
15 | SKS Starogard Gdanski | 18.2 | 22 | 4 | 18 | 1776 | 2015 | 80.7 | 91.6 | -10.9 | 14.7 |
16 | MKS Dąbrowa Górnicza | 17.4 | 23 | 4 | 19 | 1808 | 2135 | 78.6 | 92.8 | -14.2 | 9.0 |
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.