Euroleague basketball (EU-1)

Standings for 2019-2020 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Anadolu Efes Anadolu Efes 88.5 26 23 3 2287 2008 88.0 77.2 10.8 85.9
2 Real Madrid Real Madrid 80.8 26 21 5 2220 2027 85.4 78.0 7.4 78.0
3 F.C. Barcelona F.C. Barcelona 80.8 26 21 5 2191 2027 84.3 78.0 6.3 74.7
4 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 67.9 28 19 9 2308 2166 82.4 77.4 5.0 70.8
5 CSKA Moscow CSKA Moscow 65.4 26 17 9 2195 2032 84.4 78.2 6.2 74.5
6 Panathinaikos Panathinaikos 50.0 24 12 12 2098 2094 87.4 87.3 0.1 50.7
7 Khimki Moscow Region Khimki Moscow Region 46.4 28 13 15 2395 2393 85.5 85.5 0.0 50.3
8 Fenerbahce Fenerbahce 44.4 27 12 15 2079 2116 77.0 78.4 -1.4 43.9
9 AX Armani Exchange Milano AX Armani Exchange Milano 44.4 27 12 15 2107 2182 78.0 80.8 -2.8 38.1
10 Zalgiris Zalgiris 42.9 28 12 16 2257 2194 80.6 78.4 2.2 59.7
11 Baskonia Baskonia 42.9 28 12 16 2059 2155 73.5 77.0 -3.5 34.7
12 Olympiacos Olympiacos 42.3 26 11 15 2097 2143 80.7 82.4 -1.7 42.5
13 Valencia Valencia 40.7 27 11 16 2203 2233 81.6 82.7 -1.1 45.3
14 Crvena zvezda mts Crvena zvezda mts 39.3 28 11 17 2094 2148 74.8 76.7 -1.9 41.2
15 LDLC ASVEL LDLC ASVEL 36.0 25 9 16 1863 2055 74.5 82.2 -7.7 20.4
16 Alba Berlin Alba Berlin 33.3 27 9 18 2262 2374 83.8 87.9 -4.1 33.8
17 FC Bayern FC Bayern 29.6 27 8 19 2001 2206 74.1 81.7 -7.6 20.5
18 Zenit St. Petersburg Zenit St. Petersburg 28.6 28 8 20 2098 2261 74.9 80.8 -5.9 26.1

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.