Poland - PLK
Standings
Poland - PLK basketball (POL-1)
Standings for 2008-2009 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Arka Gdynia | 73.1 | 26 | 19 | 7 | 2173 | 2002 | 83.6 | 77.0 | 6.6 | 75.8 |
2 | PGE Turow | 65.4 | 26 | 17 | 9 | 2122 | 1859 | 81.6 | 71.5 | 10.1 | 86.3 |
3 | Anwil Wloclawek | 65.4 | 26 | 17 | 9 | 2162 | 1963 | 83.2 | 75.5 | 7.7 | 79.3 |
4 | Kotwica Kolobrzeg | 65.4 | 26 | 17 | 9 | 2110 | 1982 | 81.2 | 76.2 | 5.0 | 70.5 |
5 | Czarni Slupsk | 61.5 | 26 | 16 | 10 | 2080 | 1981 | 80.0 | 76.2 | 3.8 | 66.3 |
6 | SKS Starogard Gdanski | 61.5 | 26 | 16 | 10 | 2165 | 2087 | 83.3 | 80.3 | 3.0 | 62.5 |
7 | AZS Koszalin | 53.9 | 26 | 14 | 12 | 2128 | 2122 | 81.8 | 81.6 | 0.2 | 51.0 |
8 | KKS Polonia Warszawa | 50.0 | 26 | 13 | 13 | 1997 | 2075 | 76.8 | 79.8 | -3.0 | 37.0 |
9 | Stal Ostrów Wielkopolski | 42.3 | 26 | 11 | 15 | 2127 | 2125 | 81.8 | 81.7 | 0.1 | 50.3 |
10 | Kwidzyn | 38.5 | 26 | 10 | 16 | 2022 | 2084 | 77.8 | 80.2 | -2.4 | 39.6 |
11 | Sportino Inowroclaw | 38.5 | 26 | 10 | 16 | 1845 | 1997 | 71.0 | 76.8 | -5.8 | 25.0 |
12 | Enea Basket Poznan | 34.6 | 26 | 9 | 17 | 2052 | 2104 | 78.9 | 80.9 | -2.0 | 41.4 |
13 | MKS Znicz Jaroslaw | 30.8 | 26 | 8 | 18 | 2045 | 2318 | 78.7 | 89.2 | -10.5 | 14.9 |
14 | Górnik Trans.eu Walbrzych | 19.2 | 26 | 5 | 21 | 1896 | 2225 | 72.9 | 85.6 | -12.7 | 9.7 |
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.