Italy - Serie A2 basketball (ITA-2)

Standings for 2009-2010 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Happy Casa Brindisi Happy Casa Brindisi 70.0 30 21 9 2504 2301 83.5 76.7 6.8 76.4
2 Veroli Veroli 63.3 30 19 11 2550 2403 85.0 80.1 4.9 69.5
3 Banco di Sardegna Sassari Banco di Sardegna Sassari 60.0 30 18 12 2493 2376 83.1 79.2 3.9 66.1
4 Novipiù Monferrato Novipiù Monferrato 60.0 30 18 12 2310 2234 77.0 74.5 2.5 61.4
5 UNAHOTELS Reggio Emilia UNAHOTELS Reggio Emilia 60.0 30 18 12 2260 2257 75.3 75.2 0.1 50.5
6 Snaidero Cucine Udine Snaidero Cucine Udine 56.7 30 17 13 2283 2236 76.1 74.5 1.6 57.2
7 ELAchem Vigevano 1955 ELAchem Vigevano 1955 56.7 30 17 13 2276 2325 75.9 77.5 -1.6 42.6
8 Estra Pistoia Estra Pistoia 53.3 30 16 14 2402 2364 80.1 78.8 1.3 55.5
9 Givova Scafati Givova Scafati 46.7 30 14 16 2336 2243 77.9 74.8 3.1 63.8
10 NTS Informatica Rimini NTS Informatica Rimini 46.7 30 14 16 2453 2422 81.8 80.7 1.1 54.4
11 Andrea Costa Imola Andrea Costa Imola 46.7 30 14 16 2358 2485 78.6 82.8 -4.2 32.5
12 ASD Pavia ASD Pavia 40.0 30 12 18 2347 2395 78.2 79.8 -1.6 43.0
13 Umana Reyer Venezia (M) Umana Reyer Venezia (M) 40.0 30 12 18 2231 2295 74.4 76.5 -2.1 40.3
14 UCC Assigeco Piacenza UCC Assigeco Piacenza 40.0 30 12 18 2361 2467 78.7 82.2 -3.5 35.2
15 General Contractor Jesi General Contractor Jesi 36.7 30 11 19 2414 2466 80.5 82.2 -1.7 42.6
16 Benacquista Assicurazioni Latina Benacquista Assicurazioni Latina 23.3 30 7 23 2178 2487 72.6 82.9 -10.3 13.6

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.