Euroleague basketball (EU-1)

Standings for 2017-2018 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 CSKA Moscow CSKA Moscow 75.0 36 27 9 3194 2906 88.7 80.7 8.0 78.8
2 Fenerbahce Istanbul Fenerbahce Istanbul 69.4 36 25 11 2929 2740 81.4 76.1 5.3 71.7
3 Real Madrid Real Madrid 66.7 36 24 12 3090 2891 85.8 80.3 5.5 71.6
4 Zalgiris Kaunas Zalgiris Kaunas 61.1 36 22 14 2928 2877 81.3 79.9 1.4 56.1
5 Panathinaikos Athens Panathinaikos Athens 58.8 34 20 14 2701 2651 79.4 78.0 1.4 56.5
6 Olympiacos Piraeus Olympiacos Piraeus 58.8 34 20 14 2643 2638 77.7 77.6 0.1 50.7
7 Baskonia Vitoria-Gasteiz Baskonia Vitoria-Gasteiz 50.0 34 17 17 2820 2725 82.9 80.1 2.8 61.7
8 Khimki Moscow Region Khimki Moscow Region 50.0 34 17 17 2684 2701 78.9 79.4 -0.5 47.8
9 Unicaja Malaga Unicaja Malaga 43.3 30 13 17 2389 2467 79.6 82.2 -2.6 39.0
10 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 43.3 30 13 17 2440 2530 81.3 84.3 -3.0 37.7
11 Valencia Basket Valencia Basket 40.0 30 12 18 2360 2449 78.7 81.6 -2.9 37.4
12 FC Barcelona FC Barcelona 36.7 30 11 19 2456 2404 81.9 80.1 1.8 57.4
13 Bamberg Baskets Bamberg Baskets 36.7 30 11 19 2309 2446 77.0 81.5 -4.5 31.0
14 Crvena Zvezda Belgrade Crvena Zvezda Belgrade 36.7 30 11 19 2333 2515 77.8 83.8 -6.0 26.0
15 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 33.3 30 10 20 2450 2575 81.7 85.8 -4.1 33.4
16 Anadolu Efes Istanbul Anadolu Efes Istanbul 23.3 30 7 23 2321 2532 77.4 84.4 -7.0 23.0

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.