Italy - LBA Serie A basketball (ITA-1)

Standings for 1988-1989 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 70.0 30 21 9 2678 2600 89.3 86.7 2.6 60.1
2 Libertas Livorno Libertas Livorno 63.3 30 19 11 2897 2754 96.6 91.8 4.8 66.9
3 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 60.0 30 18 12 2760 2599 92.0 86.6 5.4 69.8
4 Benetton Treviso Benetton Treviso 60.0 30 18 12 2467 2375 82.2 79.2 3.0 62.9
5 JuveCaserta JuveCaserta 60.0 30 18 12 2803 2799 93.4 93.3 0.1 50.5
6 Virtus Segafredo Bologna Virtus Segafredo Bologna 60.0 30 18 12 2623 2642 87.4 88.1 -0.7 47.5
7 Pallacanestro Varese Pallacanestro Varese 56.7 30 17 13 2614 2442 87.1 81.4 5.7 72.0
8 Fortitudo Bologna Fortitudo Bologna 56.7 30 17 13 2636 2550 87.9 85.0 2.9 61.3
9 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 56.7 30 17 13 2745 2704 91.5 90.1 1.4 55.2
10 Jcoplastic Napoli Jcoplastic Napoli 56.7 30 17 13 2534 2505 84.5 83.5 1.0 54.0
11 Allibert Livorno Allibert Livorno 46.7 30 14 16 2512 2631 83.7 87.7 -4.0 34.4
12 Virtus Roma Virtus Roma 36.7 30 11 19 2479 2627 82.6 87.6 -5.0 30.9
13 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 33.3 30 10 20 2520 2572 84.0 85.7 -1.7 42.9
14 Reale Mutua Torino Reale Mutua Torino 33.3 30 10 20 2706 2798 90.2 93.3 -3.1 38.6
15 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 30.0 30 9 21 2482 2668 82.7 88.9 -6.2 26.8
16 Ristopro Fabriano Ristopro Fabriano 20.0 30 6 24 2648 2838 88.3 94.6 -6.3 27.6

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.