Poland - 1 Liga basketball (POL-2)

Standings for 2019-2020 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Górnik Trans.eu Walbrzych Górnik Trans.eu Walbrzych 80.0 25 20 5 1983 1812 79.3 72.5 6.8 77.8
2 WKK Wroclaw WKK Wroclaw 72.0 25 18 7 2023 1877 80.9 75.1 5.8 73.9
3 Czarni Slupsk Czarni Slupsk 68.0 25 17 8 2032 1882 81.3 75.3 6.0 74.4
4 Rawlplug Sokól Lańcut Rawlplug Sokól Lańcut 64.0 25 16 9 2095 1962 83.8 78.5 5.3 71.3
5 KS Ksiezak Lowicz KS Ksiezak Lowicz 60.0 25 15 10 2164 2137 86.6 85.5 1.1 54.4
6 Miasto Szkla Krosno Miasto Szkla Krosno 56.0 25 14 11 1883 1777 75.3 71.1 4.2 69.1
7 Pogoń Prudnik Pogoń Prudnik 50.0 26 13 13 2043 2018 78.6 77.6 1.0 54.3
8 GKS Tychy GKS Tychy 48.0 25 12 13 2003 2002 80.1 80.1 0.0 50.2
9 ZB Pruszków ZB Pruszków 46.2 26 12 14 1957 2028 75.3 78.0 -2.7 37.9
10 Enea Basket Poznan Enea Basket Poznan 44.0 25 11 14 1920 1926 76.8 77.0 -0.2 48.9
11 Polonia Leszno Polonia Leszno 42.3 26 11 15 2083 2109 80.1 81.1 -1.0 45.7
12 Weegree AZS Politechnika Opolska Weegree AZS Politechnika Opolska 36.0 25 9 16 1998 2066 79.9 82.6 -2.7 38.6
13 Kotwica Kolobrzeg Kotwica Kolobrzeg 36.0 25 9 16 1911 1977 76.4 79.1 -2.7 38.4
14 Zetkama Doral Nysa Klodzko Zetkama Doral Nysa Klodzko 36.0 25 9 16 1875 2033 75.0 81.3 -6.3 24.5
15 Polfarmex Kutno Polfarmex Kutno 12.0 25 3 22 496 860 19.8 34.4 -14.6 0.0

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.