Euroleague basketball (EU-1)

Standings for 2016-2017 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 CSKA Moscow CSKA Moscow 74.3 35 26 9 3063 2799 87.5 80.0 7.5 77.8
2 Real Madrid Real Madrid 72.2 36 26 10 3070 2849 85.3 79.1 6.2 73.9
3 Fenerbahce Istanbul Fenerbahce Istanbul 65.7 35 23 12 2680 2577 76.6 73.6 3.0 63.3
4 Olympiacos Piraeus Olympiacos Piraeus 62.2 37 23 14 2863 2734 77.4 73.9 3.5 65.5
5 Panathinaikos Athens Panathinaikos Athens 57.6 33 19 14 2520 2464 76.4 74.7 1.7 57.8
6 Anadolu Efes Istanbul Anadolu Efes Istanbul 54.3 35 19 16 2870 2891 82.0 82.6 -0.6 47.5
7 Crvena Zvezda Belgrade Crvena Zvezda Belgrade 53.3 30 16 14 2209 2204 73.6 73.5 0.1 50.8
8 Baskonia Vitoria-Gasteiz Baskonia Vitoria-Gasteiz 51.5 33 17 16 2705 2648 82.0 80.2 1.8 57.4
9 Darussafaka Darussafaka 50.0 34 17 17 2691 2706 79.1 79.6 -0.5 48.1
10 Zalgiris Kaunas Zalgiris Kaunas 46.7 30 14 16 2350 2391 78.3 79.7 -1.4 44.0
11 FC Barcelona FC Barcelona 40.0 30 12 18 2141 2242 71.4 74.7 -3.3 34.5
12 Galatasaray Galatasaray 36.7 30 11 19 2345 2475 78.2 82.5 -4.3 32.1
13 Bamberg Baskets Bamberg Baskets 33.3 30 10 20 2397 2430 79.9 81.0 -1.1 45.3
14 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 33.3 30 10 20 2341 2509 78.0 83.6 -5.6 27.6
15 UNICS Kazan UNICS Kazan 26.7 30 8 22 2298 2425 76.6 80.8 -4.2 32.1
16 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 26.7 30 8 22 2422 2621 80.7 87.4 -6.7 25.0

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.