Eurocup basketball (EU-2)

Standings for 2015-2016 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Valencia Basket Valencia Basket 81.3 16 13 3 1283 1151 80.2 71.9 8.3 81.9
2 UNICS Kazan UNICS Kazan 77.8 18 14 4 1421 1312 78.9 72.9 6.0 75.2
3 Dreamland Gran Canaria Dreamland Gran Canaria 72.7 22 16 6 1874 1673 85.2 76.0 9.2 82.9
4 Zenit St. Petersburg Zenit St. Petersburg 72.2 18 13 5 1464 1392 81.3 77.3 4.0 66.9
5 FC Bayern Munich FC Bayern Munich 70.0 10 7 3 800 772 80.0 77.2 2.8 62.1
6 Surne Bilbao Surne Bilbao 68.8 16 11 5 1339 1193 83.7 74.6 9.1 83.3
7 Dolomiti Energia Trentino Dolomiti Energia Trentino 68.2 22 15 7 1834 1750 83.4 79.5 3.9 65.7
8 Casademont Zaragoza Casademont Zaragoza 66.7 18 12 6 1390 1370 77.2 76.1 1.1 55.0
9 Galatasaray Galatasaray 62.5 24 15 9 1988 1795 82.8 74.8 8.0 80.5
10 MHP Riesen Ludwigsburg MHP Riesen Ludwigsburg 62.5 16 10 6 1288 1200 80.5 75.0 5.5 72.8
11 Avtodor Saratov Avtodor Saratov 62.5 16 10 6 1478 1379 92.4 86.2 6.2 72.4
12 Aris BC Aris BC 62.5 16 10 6 1162 1139 72.6 71.2 1.4 56.9
13 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 60.0 10 6 4 777 762 77.7 76.2 1.5 56.7
14 Strasbourg Strasbourg 57.1 14 8 6 1105 1066 78.9 76.1 2.8 62.2
15 Nizhny Novgorod Nizhny Novgorod 55.0 20 11 9 1643 1612 82.2 80.6 1.6 56.6
16 Pinar Karsiyaka Pinar Karsiyaka 50.0 8 4 4 630 583 78.8 72.9 5.9 74.6
17 Banvit Banvit 50.0 18 9 9 1402 1363 77.9 75.7 2.2 59.7
18 Limoges Limoges 50.0 8 4 4 637 626 79.6 78.3 1.3 56.0
19 Enea Zastal Zielona Góra Enea Zastal Zielona Góra 50.0 10 5 5 765 765 76.5 76.5 0.0 50.0
20 Neptunas Neptunas 50.0 16 8 8 1238 1253 77.4 78.3 -0.9 45.8
21 Trabzonspor Trabzonspor 50.0 16 8 8 1204 1224 75.3 76.5 -1.2 44.3
22 AEK Athens AEK Athens 50.0 10 5 5 794 812 79.4 81.2 -1.8 42.3
23 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 50.0 16 8 8 1232 1273 77.0 79.6 -2.6 38.8
24 Banco di Sardegna Sassari Banco di Sardegna Sassari 50.0 6 3 3 463 480 77.2 80.0 -2.8 37.7
25 EWE Baskets Oldenburg EWE Baskets Oldenburg 50.0 18 9 9 1400 1479 77.8 82.2 -4.4 31.8
26 Alba Berlin Alba Berlin 44.4 18 8 10 1378 1389 76.6 77.2 -0.6 47.2
27 PAOK PAOK 43.8 16 7 9 1198 1299 74.9 81.2 -6.3 24.5
28 Buducnost VOLI Buducnost VOLI 40.0 10 4 6 747 725 74.7 72.5 2.2 60.2
29 Nanterre Nanterre 40.0 10 4 6 772 801 77.2 80.1 -2.9 37.5
30 Besiktas S.J. Besiktas S.J. 40.0 10 4 6 810 842 81.0 84.2 -3.2 36.8
31 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 37.5 16 6 10 1182 1234 73.9 77.1 -3.2 35.5
32 Petrol Olimpjia Petrol Olimpjia 37.5 16 6 10 1239 1297 77.4 81.1 -3.7 34.6
33 Maccabi Playtika Tel Aviv Maccabi Playtika Tel Aviv 33.3 6 2 4 469 494 78.2 82.3 -4.1 32.7
34 Ratiopharm Ulm Ratiopharm Ulm 31.3 16 5 11 1239 1300 77.4 81.3 -3.9 33.9
35 Hapoel Jerusalem Hapoel Jerusalem 31.3 16 5 11 1263 1343 78.9 83.9 -5.0 29.9
36 Szolnoki Olajbanyasz Szolnoki Olajbanyasz 31.3 16 5 11 1166 1321 72.9 82.6 -9.7 15.0
37 Spirou Basket Spirou Basket 30.0 10 3 7 731 782 73.1 78.2 -5.1 28.1
38 Le Mans Le Mans 30.0 10 3 7 721 785 72.1 78.5 -6.4 23.5
39 Rytas Vilnius Rytas Vilnius 20.0 10 2 8 856 884 85.6 88.4 -2.8 39.0
40 Nancy Nancy 20.0 10 2 8 714 759 71.4 75.9 -4.5 29.9
41 Telekom Baskets Bonn Telekom Baskets Bonn 20.0 10 2 8 838 899 83.8 89.9 -6.1 27.3
42 Steaua Bucuresti Steaua Bucuresti 20.0 10 2 8 676 814 67.6 81.4 -13.8 7.0
43 Krasny Oktyabr Krasny Oktyabr 10.0 10 1 9 797 910 79.7 91.0 -11.3 13.7
44 Happy Casa Brindisi Happy Casa Brindisi 10.0 10 1 9 710 815 71.0 81.5 -10.5 12.8

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.