Poland - PLK
Standings
Poland - PLK basketball (POL-1)
Standings for 2006-2007 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Arka Gdynia | 80.8 | 26 | 21 | 5 | 2152 | 1857 | 82.8 | 71.4 | 11.4 | 88.6 |
2 | PGE Turow | 73.1 | 26 | 19 | 7 | 1898 | 1693 | 73.0 | 65.1 | 7.9 | 83.1 |
3 | WKS Slask Wroclaw | 69.2 | 26 | 18 | 8 | 1936 | 1749 | 74.5 | 67.3 | 7.2 | 80.4 |
4 | Anwil Wloclawek | 65.4 | 26 | 17 | 9 | 2092 | 1926 | 80.5 | 74.1 | 6.4 | 76.0 |
5 | Czarni Slupsk | 61.5 | 26 | 16 | 10 | 1976 | 1834 | 76.0 | 70.5 | 5.5 | 73.8 |
6 | Swiecie | 57.7 | 26 | 15 | 11 | 1782 | 1677 | 68.5 | 64.5 | 4.0 | 69.9 |
7 | Stal Ostrów Wielkopolski | 53.9 | 26 | 14 | 12 | 2108 | 2044 | 81.1 | 78.6 | 2.5 | 60.6 |
8 | SKS Starogard Gdanski | 50.0 | 26 | 13 | 13 | 2078 | 2026 | 79.9 | 77.9 | 2.0 | 58.7 |
9 | Viking Gdynia | 46.2 | 26 | 12 | 14 | 1957 | 1980 | 75.3 | 76.2 | -0.9 | 45.9 |
10 | AZS Koszalin | 42.3 | 26 | 11 | 15 | 1902 | 2039 | 73.2 | 78.4 | -5.2 | 27.5 |
11 | MKS Znicz Jaroslaw | 34.6 | 26 | 9 | 17 | 1893 | 2082 | 72.8 | 80.1 | -7.3 | 21.0 |
12 | Kotwica Kolobrzeg | 30.8 | 26 | 8 | 18 | 2010 | 2137 | 77.3 | 82.2 | -4.9 | 29.9 |
13 | Legia Warszawa | 24.0 | 25 | 6 | 19 | 1875 | 1970 | 75.0 | 78.8 | -3.8 | 33.5 |
14 | Unia Tarnow | 8.0 | 25 | 2 | 23 | 1577 | 2222 | 63.1 | 88.9 | -25.8 | 0.8 |
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.