Poland - PLK
Standings
Poland - PLK basketball (POL-1)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Arka Gdynia | 92.3 | 26 | 24 | 2 | 2297 | 1910 | 88.3 | 73.5 | 14.8 | 92.9 |
2 | Anwil Wloclawek | 84.6 | 26 | 22 | 4 | 2168 | 1963 | 83.4 | 75.5 | 7.9 | 79.9 |
3 | SKS Starogard Gdanski | 69.2 | 26 | 18 | 8 | 1973 | 1872 | 75.9 | 72.0 | 3.9 | 67.5 |
4 | Trefl Sopot | 65.4 | 26 | 17 | 9 | 1934 | 1877 | 74.4 | 72.2 | 2.2 | 60.3 |
5 | PGE Turow | 57.7 | 26 | 15 | 11 | 2148 | 1978 | 82.6 | 76.1 | 6.5 | 75.9 |
6 | AZS Koszalin | 57.7 | 26 | 15 | 11 | 2157 | 2089 | 83.0 | 80.3 | 2.7 | 61.0 |
7 | Czarni Slupsk | 46.2 | 26 | 12 | 14 | 2011 | 1994 | 77.3 | 76.7 | 0.6 | 52.9 |
8 | KKS Polonia Warszawa | 46.2 | 26 | 12 | 14 | 1981 | 1993 | 76.2 | 76.7 | -0.5 | 47.9 |
9 | Enea Basket Poznan | 46.2 | 26 | 12 | 14 | 2034 | 2080 | 78.2 | 80.0 | -1.8 | 42.3 |
10 | MKS Znicz Jaroslaw | 42.3 | 26 | 11 | 15 | 1995 | 2055 | 76.7 | 79.0 | -2.3 | 39.8 |
11 | Stal Stalowa Wola | 30.8 | 26 | 8 | 18 | 1954 | 2111 | 75.2 | 81.2 | -6.0 | 25.4 |
12 | Kotwica Kolobrzeg | 26.9 | 26 | 7 | 19 | 1917 | 2103 | 73.7 | 80.9 | -7.2 | 21.6 |
13 | KK Warszawa | 23.1 | 26 | 6 | 20 | 2021 | 2249 | 77.7 | 86.5 | -8.8 | 18.4 |
14 | Sportino Inowroclaw | 11.5 | 26 | 3 | 23 | 1866 | 2182 | 71.8 | 83.9 | -12.1 | 10.2 |
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.