Italy - LBA Serie A basketball (ITA-1)

Standings for 2009-2010 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 OnSharing Siena OnSharing Siena 93.3 30 28 2 2715 2062 90.5 68.7 21.8 97.9
2 JuveCaserta JuveCaserta 66.7 30 20 10 2517 2268 83.9 75.6 8.3 81.0
3 EA7 Emporio Armani Milan EA7 Emporio Armani Milan 63.3 30 19 11 2353 2180 78.4 72.7 5.7 74.3
4 Acqua S.Bernardo Cantù Acqua S.Bernardo Cantù 63.3 30 19 11 2285 2151 76.2 71.7 4.5 69.9
5 Virtus Roma Virtus Roma 56.7 30 17 13 2307 2169 76.9 72.3 4.6 70.2
6 Virtus Segafredo Bologna Virtus Segafredo Bologna 56.7 30 17 13 2267 2165 75.6 72.2 3.4 65.5
7 Sutor Montegranaro Sutor Montegranaro 56.7 30 17 13 2413 2365 80.4 78.8 1.6 56.9
8 Benetton Treviso Benetton Treviso 50.0 30 15 15 2495 2371 83.2 79.0 4.2 67.0
9 Scandone Avellino Scandone Avellino 50.0 30 15 15 2379 2314 79.3 77.1 2.2 59.5
10 Carpegna Prosciutto Pesaro Carpegna Prosciutto Pesaro 43.3 30 13 17 2390 2358 79.7 78.6 1.1 54.7
11 Pallacanestro Varese Pallacanestro Varese 43.3 30 13 17 2237 2340 74.6 78.0 -3.4 34.8
12 BT Teramo BT Teramo 40.0 30 12 18 2256 2242 75.2 74.7 0.5 52.2
13 Vanoli Cremona Vanoli Cremona 40.0 30 12 18 2455 2440 81.8 81.3 0.5 52.1
14 Edilnol Biella Edilnol Biella 40.0 30 12 18 2276 2306 75.9 76.9 -1.0 45.5
15 Kleb Basket Ferrara Kleb Basket Ferrara 36.7 30 11 19 2316 2320 77.2 77.3 -0.1 49.4
16 Azzurro Napoli Azzurro Napoli 0.0 30 0 30 1344 2954 44.8 98.5 -53.7 0.0

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.