Italy - LBA Serie A basketball (ITA-1)

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 76.7 30 23 7 2609 2391 87.0 79.7 7.3 77.1
2 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 66.7 30 20 10 2440 2256 81.3 75.2 6.1 74.8
3 Vanoli Cremona Vanoli Cremona 66.7 30 20 10 2504 2360 83.5 78.7 4.8 69.5
4 Banco di Sardegna Sassari Banco di Sardegna Sassari 60.0 30 18 12 2593 2436 86.4 81.2 5.2 70.4
5 Happy Casa Brindisi Happy Casa Brindisi 60.0 30 18 12 2454 2370 81.8 79.0 2.8 61.9
6 Dolomiti Energia Trentino Dolomiti Energia Trentino 56.7 30 17 13 2383 2410 79.4 80.3 -0.9 46.1
7 Pallacanestro Varese Pallacanestro Varese 53.3 30 16 14 2386 2284 79.5 76.1 3.4 64.7
8 Pallacanestro Trieste Pallacanestro Trieste 53.3 30 16 14 2634 2527 87.8 84.2 3.6 64.0
9 Scandone Avellino Scandone Avellino 53.3 30 16 14 2470 2456 82.3 81.9 0.4 52.0
10 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 53.3 30 16 14 2526 2571 84.2 85.7 -1.5 43.9
11 Virtus Segafredo Bologna Virtus Segafredo Bologna 50.0 30 15 15 2387 2411 79.6 80.4 -0.8 46.5
12 Germani Brescia Germani Brescia 46.7 30 14 16 2408 2443 80.3 81.4 -1.1 45.0
13 Reale Mutua Torino Reale Mutua Torino 30.0 30 9 21 2492 2611 83.1 87.0 -3.9 34.3
14 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 30.0 30 9 21 2363 2493 78.8 83.1 -4.3 32.2
15 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 23.3 30 7 23 2382 2754 79.4 91.8 -12.4 11.7
16 Giorgio Tesi Group Pistoia Giorgio Tesi Group Pistoia 20.0 30 6 24 2253 2511 75.1 83.7 -8.6 18.1

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.