Italy - Serie A2 basketball (ITA-2)

Standings for 2008-2009 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Pallacanestro Varese Pallacanestro Varese 70.0 30 21 9 2464 2364 82.1 78.8 3.3 64.0
2 Veroli Veroli 63.3 30 19 11 2329 2212 77.6 73.7 3.9 67.2
3 Vanoli Soresina Vanoli Soresina 60.0 30 18 12 2412 2442 80.4 81.4 -1.0 45.7
4 Novipiù Monferrato Novipiù Monferrato 56.7 30 17 13 2368 2250 78.9 75.0 3.9 67.1
5 Banco di Sardegna Sassari Banco di Sardegna Sassari 56.7 30 17 13 2403 2331 80.1 77.7 2.4 60.4
6 NTS Informatica Rimini NTS Informatica Rimini 50.0 30 15 15 2452 2392 81.7 79.7 2.0 58.5
7 General Contractor Jesi General Contractor Jesi 50.0 30 15 15 2425 2366 80.8 78.9 1.9 58.5
8 ASD Pavia ASD Pavia 50.0 30 15 15 2471 2473 82.4 82.4 0.0 49.7
9 Akern Libertas Livorno Akern Libertas Livorno 50.0 30 15 15 2464 2473 82.1 82.4 -0.3 48.7
10 Givova Scafati Givova Scafati 50.0 30 15 15 2366 2394 78.9 79.8 -0.9 45.9
11 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 46.7 30 14 16 2251 2268 75.0 75.6 -0.6 47.4
12 Happy Casa Brindisi Happy Casa Brindisi 46.7 30 14 16 2349 2399 78.3 80.0 -1.7 42.7
13 Giorgio Tesi Group Pistoia Giorgio Tesi Group Pistoia 43.3 30 13 17 2210 2206 73.7 73.5 0.2 50.6
14 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 43.3 30 13 17 2255 2271 75.2 75.7 -0.5 47.5
15 Andrea Costa Imola Andrea Costa Imola 33.3 30 10 20 2320 2486 77.3 82.9 -5.6 27.7
16 Liofilchem Roseto Liofilchem Roseto 30.0 30 9 21 2224 2436 74.1 81.2 -7.1 22.0

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.