Italy - LBA Serie A basketball (ITA-1)

Standings for 2016-2017 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 2584 2384 86.1 79.5 6.6 75.4
2 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 70.0 30 21 9 2447 2330 81.6 77.7 3.9 66.4
3 Scandone Avellino Scandone Avellino 63.3 30 19 11 2392 2285 79.7 76.2 3.5 65.4
4 Dolomiti Energia Trentino Dolomiti Energia Trentino 60.0 30 18 12 2352 2201 78.4 73.4 5.0 71.6
5 Banco di Sardegna Sassari Banco di Sardegna Sassari 56.7 30 17 13 2301 2218 76.7 73.9 2.8 62.5
6 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 56.7 30 17 13 2458 2444 81.9 81.5 0.4 52.0
7 Giorgio Tesi Group Pistoia Giorgio Tesi Group Pistoia 50.0 30 15 15 2306 2298 76.9 76.6 0.3 51.2
8 Capo d'Orlando Capo d'Orlando 50.0 30 15 15 2291 2315 76.4 77.2 -0.8 46.4
9 Happy Casa Brindisi Happy Casa Brindisi 46.7 30 14 16 2495 2465 83.2 82.2 1.0 54.2
10 Pallacanestro Varese Pallacanestro Varese 43.3 30 13 17 2320 2402 77.3 80.1 -2.8 38.2
11 Reale Mutua Torino Reale Mutua Torino 43.3 30 13 17 2455 2551 81.8 85.0 -3.2 37.0
12 Germani Brescia Germani Brescia 43.3 30 13 17 2360 2453 78.7 81.8 -3.1 36.9
13 JuveCaserta JuveCaserta 40.0 30 12 18 2337 2430 77.9 81.0 -3.1 36.8
14 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 36.7 30 11 19 2335 2476 77.8 82.5 -4.7 30.7
15 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 33.3 30 10 20 2285 2420 76.2 80.7 -4.5 31.0
16 Vanoli Cremona Vanoli Cremona 30.0 30 9 21 2370 2416 79.0 80.5 -1.5 43.4

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.