Poland - 1 Liga basketball (POL-2)

Standings for 2020-2021 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Czarni Slupsk Czarni Slupsk 86.7 30 26 4 2566 2150 85.5 71.7 13.8 92.1
2 Górnik Trans.eu Walbrzych Górnik Trans.eu Walbrzych 83.3 30 25 5 2548 2221 84.9 74.0 10.9 87.1
3 WKK Wroclaw WKK Wroclaw 73.3 30 22 8 2646 2376 88.2 79.2 9.0 81.7
4 Rawlplug Sokól Lańcut Rawlplug Sokól Lańcut 66.7 30 20 10 2730 2405 91.0 80.2 10.8 85.4
5 GKS Tychy GKS Tychy 56.7 30 17 13 2481 2544 82.7 84.8 -2.1 41.4
6 Miasto Szkla Krosno Miasto Szkla Krosno 53.3 30 16 14 2433 2436 81.1 81.2 -0.1 49.6
7 Weegree AZS Politechnika Opolska Weegree AZS Politechnika Opolska 53.3 30 16 14 2519 2523 84.0 84.1 -0.1 49.4
8 ZB Pruszków ZB Pruszków 53.3 30 16 14 2183 2188 72.8 72.9 -0.1 49.2
9 TBS Slask Wroclaw II TBS Slask Wroclaw II 50.0 30 15 15 2466 2451 82.2 81.7 0.5 52.1
10 KS Ksiezak Lowicz KS Ksiezak Lowicz 50.0 30 15 15 2553 2587 85.1 86.2 -1.1 45.4
11 Dziki Warszawa Dziki Warszawa 43.3 30 13 17 2389 2418 79.6 80.6 -1.0 45.8
12 Kotwica Kolobrzeg Kotwica Kolobrzeg 36.7 30 11 19 2360 2416 78.7 80.5 -1.8 41.9
13 Decka Pelplin Decka Pelplin 33.3 30 10 20 2483 2608 82.8 86.9 -4.1 33.6
14 Pogoń Prudnik Pogoń Prudnik 30.0 30 9 21 2387 2576 79.6 85.9 -6.3 25.7
15 TS Wisla Kraków TS Wisla Kraków 26.7 30 8 22 2283 2555 76.1 85.2 -9.1 17.3
16 Zetkama Doral Nysa Klodzko Zetkama Doral Nysa Klodzko 3.3 30 1 29 2229 2802 74.3 93.4 -19.1 4.0

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.