Poland - 1 Liga basketball (POL-2)

Standings for 2005-2006 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 MKS Znicz Jaroslaw MKS Znicz Jaroslaw 80.0 30 24 6 2568 2238 85.6 74.6 11.0 87.1
2 Rawlplug Sokól Lańcut Rawlplug Sokól Lańcut 63.3 30 19 11 2341 2232 78.0 74.4 3.6 66.0
3 Stal Stalowa Wola Stal Stalowa Wola 63.3 30 19 11 2444 2378 81.5 79.3 2.2 59.4
4 Kwidzyn Kwidzyn 60.0 30 18 12 2253 2143 75.1 71.4 3.7 66.7
5 1924 Czeladz 1924 Czeladz 60.0 30 18 12 2545 2445 84.8 81.5 3.3 63.6
6 Viking Gdynia Viking Gdynia 56.7 30 17 13 2392 2299 79.7 76.6 3.1 63.5
7 PGE Spójnia Stargard PGE Spójnia Stargard 56.7 30 17 13 2371 2325 79.0 77.5 1.5 56.8
8 Enea Zastal Zielona Góra Enea Zastal Zielona Góra 56.7 30 17 13 2112 2107 70.4 70.2 0.2 50.8
9 CA-IB Legion CA-IB Legion 50.0 30 15 15 2281 2325 76.0 77.5 -1.5 43.4
10 ZB Pruszków ZB Pruszków 46.7 30 14 16 2281 2299 76.0 76.6 -0.6 47.3
11 Górnik Trans.eu Walbrzych Górnik Trans.eu Walbrzych 46.7 30 14 16 2312 2385 77.1 79.5 -2.4 39.4
12 Sportowiec Sportowiec 43.3 30 13 17 2451 2461 81.7 82.0 -0.3 48.6
13 Enea Basket Poznan Enea Basket Poznan 36.7 30 11 19 2439 2518 81.3 83.9 -2.6 39.1
14 Jezioro Tarnobrzeg Jezioro Tarnobrzeg 36.7 30 11 19 2204 2283 73.5 76.1 -2.6 38.0
15 AZS Radom AZS Radom 23.3 30 7 23 2135 2358 71.2 78.6 -7.4 20.1
16 Katowice Katowice 20.0 30 6 24 2283 2616 76.1 87.2 -11.1 13.1

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.