Italy - LBA Serie A basketball (ITA-1)

Standings for 2007-2008 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 OnSharing Siena OnSharing Siena 91.2 34 31 3 2998 2366 88.2 69.6 18.6 96.4
2 Scandone Avellino Scandone Avellino 67.7 34 23 11 2878 2637 84.6 77.6 7.0 77.1
3 Virtus Roma Virtus Roma 67.7 34 23 11 2670 2471 78.5 72.7 5.8 74.6
4 Sutor Montegranaro Sutor Montegranaro 64.7 34 22 12 2853 2706 83.9 79.6 4.3 67.6
5 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 55.9 34 19 15 2708 2666 79.6 78.4 1.2 55.4
6 Capo d'Orlando Capo d'Orlando 55.9 34 19 15 2941 2985 86.5 87.8 -1.3 44.9
7 Fortitudo Bologna Fortitudo Bologna 50.0 34 17 17 2669 2696 78.5 79.3 -0.8 46.5
8 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 50.0 34 17 17 2762 2819 81.2 82.9 -1.7 42.9
9 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 50.0 34 17 17 2708 2776 79.6 81.6 -2.0 41.5
10 Benetton Treviso Benetton Treviso 47.1 34 16 18 2607 2592 76.7 76.2 0.5 52.0
11 BT Teramo BT Teramo 44.1 34 15 19 2845 2966 83.7 87.2 -3.5 35.9
12 Edilnol Biella Edilnol Biella 44.1 34 15 19 2725 2860 80.1 84.1 -4.0 33.8
13 Solsonica Rieti Solsonica Rieti 41.2 34 14 20 2689 2773 79.1 81.6 -2.5 39.5
14 Azzurro Napoli Azzurro Napoli 41.2 34 14 20 2672 2779 78.6 81.7 -3.1 36.7
15 Virtus Segafredo Bologna Virtus Segafredo Bologna 38.2 34 13 21 2684 2731 78.9 80.3 -1.4 44.0
16 Snaidero Cucine Udine Snaidero Cucine Udine 38.2 34 13 21 2591 2760 76.2 81.2 -5.0 29.3
17 Givova Scafati Givova Scafati 29.4 34 10 24 2587 2771 76.1 81.5 -5.4 27.8
18 Pallacanestro Varese Pallacanestro Varese 23.5 34 8 26 2656 2889 78.1 85.0 -6.9 23.7

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.