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 85.7 28 24 4 2443 2176 87.3 77.7 9.6 83.3
2 Real Madrid Real Madrid 78.6 28 22 6 2371 2165 84.7 77.3 7.4 78.0
3 F.C. Barcelona F.C. Barcelona 78.6 28 22 6 2357 2193 84.2 78.3 5.9 73.2
4 CSKA Moscow CSKA Moscow 67.9 28 19 9 2334 2155 83.4 77.0 6.4 75.2
5 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 67.9 28 19 9 2308 2166 82.4 77.4 5.0 70.8
6 Panathinaikos Panathinaikos 50.0 28 14 14 2439 2432 87.1 86.9 0.2 51.0
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 46.4 28 13 15 2186 2218 78.1 79.2 -1.1 45.0
9 Zalgiris Zalgiris 42.9 28 12 16 2257 2194 80.6 78.4 2.2 59.7
10 Valencia Valencia 42.9 28 12 16 2284 2305 81.6 82.3 -0.7 46.8
11 Olympiacos Olympiacos 42.9 28 12 16 2267 2310 81.0 82.5 -1.5 43.5
12 AX Armani Exchange Milano AX Armani Exchange Milano 42.9 28 12 16 2187 2266 78.1 80.9 -2.8 37.9
13 Baskonia Baskonia 42.9 28 12 16 2059 2155 73.5 77.0 -3.5 34.7
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 35.7 28 10 18 2082 2291 74.4 81.8 -7.4 20.9
16 Alba Berlin Alba Berlin 32.1 28 9 19 2364 2481 84.4 88.6 -4.2 33.8
17 Zenit St. Petersburg Zenit St. Petersburg 28.6 28 8 20 2098 2261 74.9 80.8 -5.9 26.1
18 FC Bayern FC Bayern 28.6 28 8 20 2069 2285 73.9 81.6 -7.7 20.1

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.