Italy - LBA Serie A basketball (ITA-1)

Standings for 2003-2004 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 OnSharing Siena OnSharing Siena 76.5 34 26 8 3014 2746 88.6 80.8 7.8 78.5
2 Benetton Treviso Benetton Treviso 73.5 34 25 9 3025 2729 89.0 80.3 8.7 80.7
3 Fortitudo Bologna Fortitudo Bologna 73.5 34 25 9 2947 2730 86.7 80.3 6.4 74.3
4 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 67.7 34 23 11 2918 2761 85.8 81.2 4.6 68.3
5 Azzurro Napoli Azzurro Napoli 64.7 34 22 12 2858 2808 84.1 82.6 1.5 56.1
6 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 58.8 34 20 14 2835 2816 83.4 82.8 0.6 52.3
7 Virtus Roma Virtus Roma 55.9 34 19 15 2712 2653 79.8 78.0 1.8 57.6
8 Pallacanestro Varese Pallacanestro Varese 52.9 34 18 16 2906 2905 85.5 85.4 0.1 50.1
9 Redel Vis Reggio Calabria Redel Vis Reggio Calabria 47.1 34 16 18 2733 2734 80.4 80.4 0.0 49.9
10 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 44.1 34 15 19 2744 2737 80.7 80.5 0.2 50.9
11 Edilnol Biella Edilnol Biella 44.1 34 15 19 2756 2759 81.1 81.1 0.0 49.6
12 Snaidero Cucine Udine Snaidero Cucine Udine 44.1 34 15 19 2850 2881 83.8 84.7 -0.9 46.2
13 Liofilchem Roseto Liofilchem Roseto 41.2 34 14 20 2930 3026 86.2 89.0 -2.8 39.0
14 BT Teramo BT Teramo 38.2 34 13 21 3098 3157 91.1 92.9 -1.8 43.5
15 Scandone Avellino Scandone Avellino 32.4 34 11 23 2834 2919 83.4 85.9 -2.5 39.9
16 Akern Libertas Livorno Akern Libertas Livorno 32.4 34 11 23 2765 2984 81.3 87.8 -6.5 25.7
17 Pallacanestro Trieste Pallacanestro Trieste 29.4 34 10 24 2518 2842 74.1 83.6 -9.5 15.7
18 Messina Messina 23.5 34 8 26 2768 3024 81.4 88.9 -7.5 22.6

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.