Italy - Serie A2 basketball (ITA-2)

Standings for 2005-2006 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Givova Scafati Givova Scafati 70.0 30 21 9 2586 2334 86.2 77.8 8.4 80.6
2 Kleb Basket Ferrara Kleb Basket Ferrara 66.7 30 20 10 2456 2324 81.9 77.5 4.4 68.3
3 JuveCaserta JuveCaserta 66.7 30 20 10 2669 2577 89.0 85.9 3.1 62.0
4 NTS Informatica Rimini NTS Informatica Rimini 63.3 30 19 11 2536 2470 84.5 82.3 2.2 59.1
5 Solsonica Rieti Solsonica Rieti 60.0 30 18 12 2521 2470 84.0 82.3 1.7 57.1
6 Andrea Costa Imola Andrea Costa Imola 56.7 30 17 13 2626 2584 87.5 86.1 1.4 55.6
7 Sutor Montegranaro Sutor Montegranaro 50.0 30 15 15 2273 2249 75.8 75.0 0.8 53.7
8 Jesi Jesi 50.0 30 15 15 2441 2485 81.4 82.8 -1.4 43.8
9 Gema Montecatini Gema Montecatini 50.0 30 15 15 2557 2626 85.2 87.5 -2.3 40.8
10 Ignis Novara Ignis Novara 46.7 30 14 16 2272 2254 75.7 75.1 0.6 52.8
11 Ristopro Fabriano Ristopro Fabriano 46.7 30 14 16 2638 2643 87.9 88.1 -0.2 49.3
12 Banco di Sardegna Sassari Banco di Sardegna Sassari 46.7 30 14 16 2659 2669 88.6 89.0 -0.4 48.7
13 ASD Pavia ASD Pavia 46.7 30 14 16 2498 2525 83.3 84.2 -0.9 46.3
14 Castelletto Castelletto 36.7 30 11 19 2355 2513 78.5 83.8 -5.3 28.8
15 Novipiù Monferrato Novipiù Monferrato 30.0 30 9 21 2493 2612 83.1 87.1 -4.0 34.3
16 Trapani Shark Trapani Shark 13.3 30 4 26 2405 2650 80.2 88.3 -8.1 20.6

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.