Poland - 1 Liga
Standings
Poland - 1 Liga basketball (POL-2)
Standings for 2006-2007 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Enea Zastal Zielona Góra | 73.1 | 26 | 19 | 7 | 1795 | 1579 | 69.0 | 60.7 | 8.3 | 85.6 |
2 | Górnik Trans.eu Walbrzych | 69.2 | 26 | 18 | 8 | 2001 | 1865 | 77.0 | 71.7 | 5.3 | 72.7 |
3 | Kwidzyn | 65.4 | 26 | 17 | 9 | 2059 | 1871 | 79.2 | 72.0 | 7.2 | 79.1 |
4 | Sportino Inowroclaw | 65.4 | 26 | 17 | 9 | 2033 | 1952 | 78.2 | 75.1 | 3.1 | 63.8 |
5 | Stal Stalowa Wola | 50.0 | 26 | 13 | 13 | 2074 | 2020 | 79.8 | 77.7 | 2.1 | 59.1 |
6 | ZB Pruszków | 50.0 | 26 | 13 | 13 | 2084 | 2115 | 80.2 | 81.3 | -1.1 | 44.9 |
7 | Jezioro Tarnobrzeg | 50.0 | 26 | 13 | 13 | 2030 | 2074 | 78.1 | 79.8 | -1.7 | 42.6 |
8 | Resovia | 46.2 | 26 | 12 | 14 | 2062 | 2082 | 79.3 | 80.1 | -0.8 | 46.6 |
9 | Rawlplug Sokól Lańcut | 42.3 | 26 | 11 | 15 | 1901 | 1913 | 73.1 | 73.6 | -0.5 | 47.8 |
10 | Pszczolka Start Lublin | 42.3 | 26 | 11 | 15 | 1935 | 2011 | 74.4 | 77.3 | -2.9 | 36.9 |
11 | Enea Basket Poznan | 38.5 | 26 | 10 | 16 | 2056 | 2146 | 79.1 | 82.5 | -3.4 | 35.5 |
12 | PGE Spójnia Stargard | 38.5 | 26 | 10 | 16 | 1786 | 1976 | 68.7 | 76.0 | -7.3 | 19.7 |
13 | Tarnovia | 34.6 | 26 | 9 | 17 | 1948 | 2042 | 74.9 | 78.5 | -3.6 | 34.2 |
14 | Sportowiec | 34.6 | 26 | 9 | 17 | 2016 | 2134 | 77.5 | 82.1 | -4.6 | 31.2 |
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.