Poland - 1 Liga
Standings
Poland - 1 Liga basketball (POL-2)
Standings for 2008-2009 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | KK Warszawa | 73.3 | 30 | 22 | 8 | 2511 | 2222 | 83.7 | 74.1 | 9.6 | 84.6 |
2 | Miasto Szkla Krosno | 73.3 | 30 | 22 | 8 | 2324 | 2152 | 77.5 | 71.7 | 5.8 | 74.5 |
3 | GKS Tychy | 66.7 | 30 | 20 | 10 | 2384 | 2186 | 79.5 | 72.9 | 6.6 | 77.0 |
4 | Jezioro Tarnobrzeg | 66.7 | 30 | 20 | 10 | 2272 | 2142 | 75.7 | 71.4 | 4.3 | 69.4 |
5 | Enea Zastal Zielona Góra | 63.3 | 30 | 19 | 11 | 2229 | 1900 | 74.3 | 63.3 | 11.0 | 90.2 |
6 | LKS Lodz | 56.7 | 30 | 17 | 13 | 2355 | 2190 | 78.5 | 73.0 | 5.5 | 73.3 |
7 | Stal Stalowa Wola | 56.7 | 30 | 17 | 13 | 2215 | 2085 | 73.8 | 69.5 | 4.3 | 69.9 |
8 | MKS Dąbrowa Górnicza | 53.3 | 30 | 16 | 14 | 2176 | 2062 | 72.5 | 68.7 | 3.8 | 67.9 |
9 | Zubry | 53.3 | 30 | 16 | 14 | 2173 | 2132 | 72.4 | 71.1 | 1.3 | 56.6 |
10 | Sudety JG | 46.7 | 30 | 14 | 16 | 2149 | 2129 | 71.6 | 71.0 | 0.6 | 53.2 |
11 | Rawlplug Sokól Lańcut | 46.7 | 30 | 14 | 16 | 1976 | 2080 | 65.9 | 69.3 | -3.4 | 32.9 |
12 | ZB Pruszków | 43.3 | 30 | 13 | 17 | 2230 | 2315 | 74.3 | 77.2 | -2.9 | 37.3 |
13 | Kalisz | 33.3 | 30 | 10 | 20 | 1939 | 2231 | 64.6 | 74.4 | -9.8 | 12.4 |
14 | Katowice | 30.0 | 30 | 9 | 21 | 2087 | 2315 | 69.6 | 77.2 | -7.6 | 19.1 |
15 | Start Gdynia | 26.7 | 30 | 8 | 22 | 2050 | 2286 | 68.3 | 76.2 | -7.9 | 18.0 |
16 | Resovia | 10.0 | 30 | 3 | 27 | 1751 | 2394 | 58.4 | 79.8 | -21.4 | 1.3 |
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.