Poland - PLK
Standings
Poland - PLK basketball (POL-1)
Standings for 2005-2006 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Arka Gdynia | 84.6 | 26 | 22 | 4 | 2305 | 1954 | 88.7 | 75.2 | 13.5 | 90.9 |
2 | Anwil Wloclawek | 65.4 | 26 | 17 | 9 | 2064 | 1848 | 79.4 | 71.1 | 8.3 | 82.3 |
3 | Czarni Slupsk | 61.5 | 26 | 16 | 10 | 2004 | 1845 | 77.1 | 71.0 | 6.1 | 75.9 |
4 | Swiecie | 61.5 | 26 | 16 | 10 | 2061 | 1993 | 79.3 | 76.7 | 2.6 | 61.5 |
5 | WKS Slask Wroclaw | 57.7 | 26 | 15 | 11 | 1997 | 1944 | 76.8 | 74.8 | 2.0 | 59.2 |
6 | PGE Turow | 53.9 | 26 | 14 | 12 | 2245 | 2068 | 86.3 | 79.5 | 6.8 | 75.8 |
7 | Stal Ostrów Wielkopolski | 53.9 | 26 | 14 | 12 | 2108 | 2003 | 81.1 | 77.0 | 4.1 | 67.1 |
8 | SKS Starogard Gdanski | 53.9 | 26 | 14 | 12 | 2058 | 1962 | 79.2 | 75.5 | 3.7 | 66.0 |
9 | KKS Polonia Warszawa | 46.2 | 26 | 12 | 14 | 2040 | 2016 | 78.5 | 77.5 | 1.0 | 54.1 |
10 | Enea Astoria Bydgoszcz | 46.2 | 26 | 12 | 14 | 2109 | 2157 | 81.1 | 83.0 | -1.9 | 42.2 |
11 | AZS Koszalin | 46.2 | 26 | 12 | 14 | 2273 | 2331 | 87.4 | 89.7 | -2.3 | 41.3 |
12 | Unia Tarnow | 38.5 | 26 | 10 | 16 | 2016 | 2171 | 77.5 | 83.5 | -6.0 | 26.3 |
13 | Kotwica Kolobrzeg | 30.8 | 26 | 8 | 18 | 1923 | 2094 | 74.0 | 80.5 | -6.5 | 23.4 |
14 | Sportino Inowroclaw | 0.0 | 26 | 0 | 26 | 1763 | 2580 | 67.8 | 99.2 | -31.4 | 0.5 |
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.