Euroleague basketball (EU-1)

Standings for 2022-2023 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Fenerbahce Fenerbahce 81.8 11 9 2 940 839 85.5 76.3 9.2 82.9
2 Real Madrid Real Madrid 72.7 11 8 3 932 858 84.7 78.0 6.7 76.0
3 F.C. Barcelona F.C. Barcelona 72.7 11 8 3 891 848 81.0 77.1 3.9 66.6
4 Monaco Monaco 72.7 11 8 3 917 882 83.4 80.2 3.2 63.2
5 Olympiacos Olympiacos 63.6 11 7 4 924 870 84.0 79.1 4.9 69.8
6 Anadolu Efes Anadolu Efes 54.6 11 6 5 918 871 83.5 79.2 4.3 67.5
7 Baskonia Baskonia 54.6 11 6 5 957 921 87.0 83.7 3.3 63.0
8 Zalgiris Zalgiris 54.6 11 6 5 852 867 77.5 78.8 -1.3 44.0
9 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 45.5 11 5 6 907 931 82.5 84.6 -2.1 41.0
10 Panathinaikos Panathinaikos 45.5 11 5 6 874 899 79.5 81.7 -2.2 40.3
11 Valencia Valencia 45.5 11 5 6 883 912 80.3 82.9 -2.6 38.9
12 Crvena zvezda mts Crvena zvezda mts 45.5 11 5 6 810 856 73.6 77.8 -4.2 31.7
13 Partizan Mozzart Bet Partizan Mozzart Bet 36.4 11 4 7 938 969 85.3 88.1 -2.8 38.9
14 Virtus Segafredo Bologna Virtus Segafredo Bologna 36.4 11 4 7 825 854 75.0 77.6 -2.6 38.2
15 FC Bayern FC Bayern 36.4 11 4 7 834 865 75.8 78.6 -2.8 37.6
16 Alba Berlin Alba Berlin 27.3 11 3 8 897 907 81.5 82.5 -1.0 46.2
17 LDLC ASVEL LDLC ASVEL 27.3 11 3 8 792 857 72.0 77.9 -5.9 25.0
18 AX Armani Exchange Milano AX Armani Exchange Milano 27.3 11 3 8 745 830 67.7 75.5 -7.8 18.2

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.