Italy - LBA Serie A basketball (ITA-1)

Standings for 2012-2013 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Pallacanestro Varese Pallacanestro Varese 76.7 30 23 7 2519 2311 84.0 77.0 7.0 76.8
2 Banco di Sardegna Sassari Banco di Sardegna Sassari 73.3 30 22 8 2677 2513 89.2 83.8 5.4 70.7
3 Virtus Roma Virtus Roma 66.7 30 20 10 2361 2273 78.7 75.8 2.9 62.9
4 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 63.3 30 19 11 2441 2304 81.4 76.8 4.6 69.1
5 OnSharing Siena OnSharing Siena 60.0 30 18 12 2309 2160 77.0 72.0 5.0 71.7
6 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 60.0 30 18 12 2328 2201 77.6 73.4 4.2 68.6
7 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 56.7 30 17 13 2274 2094 75.8 69.8 6.0 75.9
8 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 53.3 30 16 14 2370 2354 79.0 78.5 0.5 52.4
9 Vanoli Cremona Vanoli Cremona 43.3 30 13 17 2397 2413 79.9 80.4 -0.5 47.7
10 Scandone Avellino Scandone Avellino 43.3 30 13 17 2335 2483 77.8 82.8 -5.0 29.8
11 JuveCaserta JuveCaserta 43.3 30 13 17 2164 2310 72.1 77.0 -4.9 28.7
12 Happy Casa Brindisi Happy Casa Brindisi 36.7 30 11 19 2441 2483 81.4 82.8 -1.4 44.1
13 Sutor Montegranaro Sutor Montegranaro 36.7 30 11 19 2489 2570 83.0 85.7 -2.7 39.0
14 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 33.3 30 10 20 2245 2381 74.8 79.4 -4.6 30.6
15 Virtus Segafredo Bologna Virtus Segafredo Bologna 33.3 30 10 20 2249 2405 75.0 80.2 -5.2 28.2
16 Edilnol Biella Edilnol Biella 20.0 30 6 24 2168 2512 72.3 83.7 -11.4 11.4

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.