Poland - 1 Liga basketball (POL-2)

Standings for 2012-2013 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 TBS Slask Wroclaw II TBS Slask Wroclaw II 90.0 30 27 3 2493 1954 83.1 65.1 18.0 96.7
2 Polfarmex Kutno Polfarmex Kutno 66.7 30 20 10 2259 2088 75.3 69.6 5.7 74.9
3 MKS Dąbrowa Górnicza MKS Dąbrowa Górnicza 66.7 30 20 10 2380 2276 79.3 75.9 3.4 65.1
4 Miasto Szkla Krosno Miasto Szkla Krosno 53.3 30 16 14 2260 2178 75.3 72.6 2.7 62.6
5 Twarde Pierniki Toruń Twarde Pierniki Toruń 53.3 30 16 14 2146 2101 71.5 70.0 1.5 57.3
6 Rawlplug Sokól Lańcut Rawlplug Sokól Lańcut 53.3 30 16 14 2207 2188 73.6 72.9 0.7 53.0
7 PGE Spójnia Stargard PGE Spójnia Stargard 53.3 30 16 14 2049 2032 68.3 67.7 0.6 52.9
8 Pszczolka Start Lublin Pszczolka Start Lublin 53.3 30 16 14 2297 2298 76.6 76.6 0.0 49.8
9 Stal Ostrów Wielkopolski Stal Ostrów Wielkopolski 50.0 30 15 15 2326 2254 77.5 75.1 2.4 60.8
10 King Szczecin King Szczecin 50.0 30 15 15 2228 2229 74.3 74.3 0.0 49.8
11 ZB Pruszków ZB Pruszków 46.7 30 14 16 2082 2098 69.4 69.9 -0.5 47.3
12 Przemysl Przemysl 46.7 30 14 16 2127 2213 70.9 73.8 -2.9 36.6
13 Enea Astoria Bydgoszcz Enea Astoria Bydgoszcz 43.3 30 13 17 2364 2471 78.8 82.4 -3.6 35.1
14 AZS Politechnika Poznan AZS Politechnika Poznan 30.0 30 9 21 2073 2308 69.1 76.9 -7.8 18.3
15 SKK Siedlce SKK Siedlce 26.7 30 8 22 1934 2189 64.5 73.0 -8.5 15.2
16 UMKS Kielce UMKS Kielce 16.7 30 5 25 2014 2362 67.1 78.7 -11.6 9.8

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.