Poland - 1 Liga basketball (POL-2)

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 WKS Slask Wroclaw WKS Slask Wroclaw 76.7 30 23 7 2732 2356 91.1 78.5 12.6 88.7
2 Enea Astoria Bydgoszcz Enea Astoria Bydgoszcz 70.0 30 21 9 2580 2362 86.0 78.7 7.3 77.3
3 Rawlplug Sokól Lańcut Rawlplug Sokól Lańcut 70.0 30 21 9 2572 2425 85.7 80.8 4.9 69.4
4 Czarni Slupsk Czarni Slupsk 60.0 30 18 12 2440 2346 81.3 78.2 3.1 63.3
5 GKS Tychy GKS Tychy 53.3 30 16 14 2561 2467 85.4 82.2 3.2 62.7
6 Górnik Trans.eu Walbrzych Górnik Trans.eu Walbrzych 53.3 30 16 14 2253 2232 75.1 74.4 0.7 53.3
7 Enea Basket Poznan Enea Basket Poznan 53.3 30 16 14 2330 2339 77.7 78.0 -0.3 48.7
8 WKK Wroclaw WKK Wroclaw 53.3 30 16 14 2321 2393 77.4 79.8 -2.4 39.5
9 Polonia Leszno Polonia Leszno 50.0 30 15 15 2406 2354 80.2 78.5 1.7 57.5
10 Pogoń Prudnik Pogoń Prudnik 50.0 30 15 15 2512 2509 83.7 83.6 0.1 50.4
11 Kotwica Kolobrzeg Kotwica Kolobrzeg 43.3 30 13 17 2434 2469 81.1 82.3 -1.2 45.1
12 ZB Pruszków ZB Pruszków 40.0 30 12 18 2125 2209 70.8 73.6 -2.8 36.8
13 Polfarmex Kutno Polfarmex Kutno 40.0 30 12 18 2313 2430 77.1 81.0 -3.9 33.5
14 AZS AGH Krakow AZS AGH Krakow 33.3 30 10 20 2292 2451 76.4 81.7 -5.3 28.2
15 KS Ksiezak Lowicz KS Ksiezak Lowicz 33.3 30 10 20 2383 2617 79.4 87.2 -7.8 21.4
16 SKK Siedlce SKK Siedlce 20.0 30 6 24 2426 2721 80.9 90.7 -9.8 16.9

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.