Euroleague basketball (EU-1)

Standings for 2020-2021 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 CSKA Moscow CSKA Moscow 69.2 39 27 12 3281 3094 84.1 79.3 4.8 69.3
2 Anadolu Efes Anadolu Efes 65.9 41 27 14 3453 3156 84.2 77.0 7.2 77.7
3 F.C. Barcelona F.C. Barcelona 65.9 41 27 14 3271 3030 79.8 73.9 5.9 74.4
4 AX Armani Exchange Milano AX Armani Exchange Milano 61.0 41 25 16 3344 3213 81.6 78.4 3.2 63.5
5 FC Bayern FC Bayern 59.0 39 23 16 3066 3039 78.6 77.9 0.7 53.1
6 Fenerbahce Fenerbahce 56.8 37 21 16 2889 2934 78.1 79.3 -1.2 44.6
7 Zenit St. Petersburg Zenit St. Petersburg 56.4 39 22 17 3021 2920 77.5 74.9 2.6 61.6
8 Real Madrid Real Madrid 56.4 39 22 17 3098 3056 79.4 78.4 1.0 54.7
9 Valencia Valencia 55.9 34 19 15 2783 2762 81.9 81.2 0.7 52.6
10 Baskonia Baskonia 52.9 34 18 16 2751 2638 80.9 77.6 3.3 64.2
11 Zalgiris Zalgiris 50.0 34 17 17 2630 2645 77.4 77.8 -0.4 48.0
12 Olympiacos Olympiacos 47.1 34 16 18 2672 2712 78.6 79.8 -1.2 44.9
13 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 41.2 34 14 20 2664 2694 78.4 79.2 -0.8 46.1
14 LDLC ASVEL LDLC ASVEL 38.2 34 13 21 2607 2741 76.7 80.6 -3.9 33.2
15 Alba Berlin Alba Berlin 35.3 34 12 22 2674 2812 78.6 82.7 -4.1 33.2
16 Panathinaikos Panathinaikos 32.4 34 11 23 2711 2846 79.7 83.7 -4.0 33.7
17 Crvena zvezda mts Crvena zvezda mts 29.4 34 10 24 2520 2709 74.1 79.7 -5.6 26.8
18 Khimki Moscow Region Khimki Moscow Region 11.8 34 4 30 2634 3068 77.5 90.2 -12.7 10.7

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.