Poland - 1 Liga
Standings
Poland - 1 Liga basketball (POL-2)
Standings for 2009-2010 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Enea Zastal Zielona Góra | 80.0 | 30 | 24 | 6 | 2333 | 2072 | 77.8 | 69.1 | 8.7 | 83.9 |
2 | Jezioro Tarnobrzeg | 76.7 | 30 | 23 | 7 | 2233 | 1987 | 74.4 | 66.2 | 8.2 | 83.5 |
3 | MKS Dąbrowa Górnicza | 76.7 | 30 | 23 | 7 | 2339 | 2083 | 78.0 | 69.4 | 8.6 | 83.4 |
4 | GKS Tychy | 66.7 | 30 | 20 | 10 | 2344 | 2217 | 78.1 | 73.9 | 4.2 | 68.5 |
5 | LKS Lodz | 63.3 | 30 | 19 | 11 | 2316 | 2139 | 77.2 | 71.3 | 5.9 | 75.1 |
6 | PGE Spójnia Stargard | 63.3 | 30 | 19 | 11 | 2269 | 2135 | 75.6 | 71.2 | 4.4 | 70.0 |
7 | Rawlplug Sokól Lańcut | 53.3 | 30 | 16 | 14 | 2238 | 2201 | 74.6 | 73.4 | 1.2 | 55.8 |
8 | ZB Pruszków | 53.3 | 30 | 16 | 14 | 2230 | 2246 | 74.3 | 74.9 | -0.6 | 47.5 |
9 | Pszczolka Start Lublin | 50.0 | 30 | 15 | 15 | 2193 | 2189 | 73.1 | 73.0 | 0.1 | 50.6 |
10 | Start Gdynia | 43.3 | 30 | 13 | 17 | 2375 | 2379 | 79.2 | 79.3 | -0.1 | 49.4 |
11 | Zubry | 33.3 | 30 | 10 | 20 | 2204 | 2391 | 73.5 | 79.7 | -6.2 | 24.4 |
12 | Miasto Szkla Krosno | 30.0 | 30 | 9 | 21 | 2079 | 2191 | 69.3 | 73.0 | -3.7 | 32.5 |
13 | Tempcold AZS | 30.0 | 30 | 9 | 21 | 2293 | 2438 | 76.4 | 81.3 | -4.9 | 29.9 |
14 | Górnik Trans.eu Walbrzych | 30.0 | 30 | 9 | 21 | 2219 | 2459 | 74.0 | 82.0 | -8.0 | 19.3 |
15 | Sudety JG | 26.7 | 30 | 8 | 22 | 2017 | 2324 | 67.2 | 77.5 | -10.3 | 12.2 |
16 | Katowice | 23.3 | 30 | 7 | 23 | 2137 | 2368 | 71.2 | 78.9 | -7.7 | 19.3 |
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.