Euroleague basketball (EU-1)

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 CSKA Moscow CSKA Moscow 80.6 36 29 7 3127 2887 86.9 80.2 6.7 75.2
2 Fenerbahce Istanbul Fenerbahce Istanbul 77.8 36 28 8 2999 2723 83.3 75.6 7.7 79.3
3 Real Madrid Real Madrid 74.3 35 26 9 3004 2729 85.8 78.0 7.8 79.2
4 Anadolu Efes Istanbul Anadolu Efes Istanbul 64.9 37 24 13 3138 2933 84.8 79.3 5.5 71.9
5 FC Barcelona FC Barcelona 57.1 35 20 15 2733 2692 78.1 76.9 1.2 55.2
6 Olympiacos Piraeus Olympiacos Piraeus 50.0 30 15 15 2337 2308 77.9 76.9 1.0 54.3
7 Panathinaikos Athens Panathinaikos Athens 48.5 33 16 17 2606 2598 79.0 78.7 0.3 51.1
8 Baskonia Vitoria-Gasteiz Baskonia Vitoria-Gasteiz 47.1 34 16 18 2762 2727 81.2 80.2 1.0 54.4
9 Zalgiris Kaunas Zalgiris Kaunas 47.1 34 16 18 2655 2676 78.1 78.7 -0.6 47.3
10 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 46.7 30 14 16 2376 2346 79.2 78.2 1.0 54.4
11 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 46.7 30 14 16 2618 2615 87.3 87.2 0.1 50.4
12 FC Bayern Munich FC Bayern Munich 46.7 30 14 16 2372 2424 79.1 80.8 -1.7 42.5
13 Khimki Moscow Region Khimki Moscow Region 30.0 30 9 21 2345 2455 78.2 81.8 -3.6 34.6
14 Dreamland Gran Canaria Dreamland Gran Canaria 26.7 30 8 22 2332 2633 77.7 87.8 -10.1 15.6
15 Buducnost VOLI Buducnost VOLI 20.0 30 6 24 2230 2550 74.3 85.0 -10.7 13.4
16 Darussafaka Darussafaka 16.7 30 5 25 2238 2576 74.6 85.9 -11.3 12.4

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.