Italy - LBA Serie A basketball (ITA-1)

Standings for 2002-2003 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Benetton Treviso Benetton Treviso 88.2 34 30 4 3093 2691 91.0 79.1 11.9 87.4
2 Virtus Roma Virtus Roma 73.5 34 25 9 2670 2507 78.5 73.7 4.8 70.6
3 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 73.5 34 25 9 2718 2601 79.9 76.5 3.4 64.8
4 OnSharing Siena OnSharing Siena 64.7 34 22 12 2813 2603 82.7 76.6 6.1 74.6
5 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 58.8 34 20 14 2743 2645 80.7 77.8 2.9 62.4
6 Fortitudo Bologna Fortitudo Bologna 52.9 34 18 16 2796 2704 82.2 79.5 2.7 61.4
7 Azzurro Napoli Azzurro Napoli 52.9 34 18 16 2735 2738 80.4 80.5 -0.1 49.6
8 Redel Vis Reggio Calabria Redel Vis Reggio Calabria 50.0 34 17 17 2607 2559 76.7 75.3 1.4 56.4
9 Liofilchem Roseto Liofilchem Roseto 50.0 34 17 17 2682 2657 78.9 78.1 0.8 53.3
10 Edilnol Biella Edilnol Biella 44.1 34 15 19 2746 2685 80.8 79.0 1.8 57.7
11 Pallacanestro Trieste Pallacanestro Trieste 44.1 34 15 19 2680 2820 78.8 82.9 -4.1 33.0
12 Pallacanestro Varese Pallacanestro Varese 41.2 34 14 20 2695 2733 79.3 80.4 -1.1 45.1
13 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 41.2 34 14 20 2736 2892 80.5 85.1 -4.6 31.6
14 Snaidero Cucine Udine Snaidero Cucine Udine 38.2 34 13 21 2656 2698 78.1 79.4 -1.3 44.6
15 Virtus Segafredo Bologna Virtus Segafredo Bologna 38.2 34 13 21 2659 2749 78.2 80.9 -2.7 38.6
16 Scandone Avellino Scandone Avellino 38.2 34 13 21 2729 2854 80.3 83.9 -3.6 34.9
17 Libertas Livorno Libertas Livorno 38.2 34 13 21 2637 2791 77.6 82.1 -4.5 31.2
18 Ristopro Fabriano Ristopro Fabriano 11.8 34 4 30 2460 2928 72.4 86.1 -13.7 8.1

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.