Italy - LBA Serie A basketball (ITA-1)

Standings for 2019-2020 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Virtus Segafredo Bologna Virtus Segafredo Bologna 90.0 20 18 2 1719 1500 86.0 75.0 11.0 86.9
2 Banco di Sardegna Sassari Banco di Sardegna Sassari 76.2 21 16 5 1796 1594 85.5 75.9 9.6 84.0
3 Germani Brescia Germani Brescia 66.7 21 14 7 1707 1554 81.3 74.0 7.3 78.7
4 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 66.7 21 14 7 1687 1555 80.3 74.0 6.3 75.6
5 Valtur Brindisi Valtur Brindisi 61.9 21 13 8 1776 1696 84.6 80.8 3.8 65.5
6 Vanoli Cremona Vanoli Cremona 60.0 20 12 8 1627 1617 81.4 80.9 0.5 52.1
7 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 52.4 21 11 10 1638 1582 78.0 75.3 2.7 61.9
8 Dolomiti Energia Trentino Dolomiti Energia Trentino 52.4 21 11 10 1635 1665 77.9 79.3 -1.4 43.7
9 Fortitudo Bologna Fortitudo Bologna 52.4 21 11 10 1624 1670 77.3 79.5 -2.2 40.4
10 Pallacanestro Varese Pallacanestro Varese 47.4 19 9 10 1570 1522 82.6 80.1 2.5 60.6
11 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 45.0 20 9 11 1533 1580 76.7 79.0 -2.3 39.7
12 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 42.9 21 9 12 1741 1763 82.9 84.0 -1.1 45.6
13 Nutribullet Treviso Nutribullet Treviso 38.1 21 8 13 1620 1664 77.1 79.2 -2.1 40.8
14 Pallacanestro Trieste Pallacanestro Trieste 31.8 22 7 15 1671 1770 76.0 80.5 -4.5 31.0
15 Virtus Roma Virtus Roma 31.8 22 7 15 1727 1880 78.5 85.5 -7.0 23.5
16 Estra Pistoia Estra Pistoia 31.8 22 7 15 1639 1832 74.5 83.3 -8.8 17.5
17 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 5.0 20 1 19 1583 1849 79.2 92.5 -13.3 10.3

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.