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