Poland - 1 Liga basketball (POL-2)

Standings for 2015-2016 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Miasto Szkla Krosno Miasto Szkla Krosno 96.7 30 29 1 2633 1913 87.8 63.8 24.0 98.8
2 Rawlplug Sokól Lańcut Rawlplug Sokól Lańcut 83.3 30 25 5 2273 1858 75.8 61.9 13.9 94.3
3 Legia Warszawa Legia Warszawa 70.0 30 21 9 2433 2152 81.1 71.7 9.4 84.6
4 ZB Pruszków ZB Pruszków 63.3 30 19 11 2183 2118 72.8 70.6 2.2 60.4
5 GKS Tychy GKS Tychy 56.7 30 17 13 2329 2169 77.6 72.3 5.3 72.9
6 Pogoń Prudnik Pogoń Prudnik 53.3 30 16 14 2128 2083 70.9 69.4 1.5 57.4
7 Enea Astoria Bydgoszcz Enea Astoria Bydgoszcz 53.3 30 16 14 2263 2302 75.4 76.7 -1.3 44.1
8 Zetkama Doral Nysa Klodzko Zetkama Doral Nysa Klodzko 46.7 30 14 16 1959 2204 65.3 73.5 -8.2 16.3
9 SKK Siedlce SKK Siedlce 40.0 30 12 18 2220 2317 74.0 77.2 -3.2 35.6
10 Rosa Radom II Rosa Radom II 40.0 30 12 18 2126 2242 70.9 74.7 -3.8 32.3
11 PGE Spójnia Stargard PGE Spójnia Stargard 40.0 30 12 18 2151 2319 71.7 77.3 -5.6 26.0
12 Enea Basket Poznan Enea Basket Poznan 33.3 30 10 20 1904 2072 63.5 69.1 -5.6 23.6
13 Sportino Inowroclaw Sportino Inowroclaw 33.3 30 10 20 2085 2282 69.5 76.1 -6.6 22.2
14 Exact Syst. Slask Wroclaw Exact Syst. Slask Wroclaw 30.0 30 9 21 1978 2166 65.9 72.2 -6.3 22.0
15 GTK Gliwice GTK Gliwice 30.0 30 9 21 2011 2204 67.0 73.5 -6.5 21.8
16 Mickiewicz-Romus Katowice Mickiewicz-Romus Katowice 30.0 30 9 21 2095 2370 69.8 79.0 -9.2 15.2

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.