Italy - Serie A2 Play-Offs basketball (ITA-2)

Standings for 2015-2016 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Fortitudo Bologna Fortitudo Bologna 68.8 16 11 5 1158 1126 72.4 70.4 2.0 59.6
2 Givova Scafati Givova Scafati 66.7 12 8 4 923 892 76.9 74.3 2.6 61.7
3 Germani Brescia Germani Brescia 60.0 20 12 8 1603 1518 80.2 75.9 4.3 68.1
4 Nutribullet Treviso Nutribullet Treviso 50.0 14 7 7 960 910 68.6 65.0 3.6 67.8
5 FMC Ferentino FMC Ferentino 50.0 10 5 5 774 746 77.4 74.6 2.8 62.5
6 Bertram Tortona Bertram Tortona 50.0 10 5 5 759 823 75.9 82.3 -6.4 24.5
7 Andrea Costa Imola Andrea Costa Imola 44.4 9 4 5 689 722 76.6 80.2 -3.6 34.3
8 Moncada Energy Agrigento Moncada Energy Agrigento 42.9 7 3 4 465 470 66.4 67.1 -0.7 46.3
9 OnSharing Siena OnSharing Siena 40.0 5 2 3 401 391 80.2 78.2 2.0 58.7
10 Pallacanestro Trieste Pallacanestro Trieste 40.0 5 2 3 382 373 76.4 74.6 1.8 58.2
11 Trapani Shark Trapani Shark 40.0 5 2 3 406 410 81.2 82.0 -0.8 46.6
12 Liofilchem Roseto Liofilchem Roseto 40.0 5 2 3 404 426 80.8 85.2 -4.4 32.4
13 Novipiù Monferrato Novipiù Monferrato 40.0 5 2 3 314 349 62.8 69.8 -7.0 18.7
14 Staff Mantova Staff Mantova 25.0 4 1 3 254 268 63.5 67.0 -3.5 32.2
15 BCC Agropoli BCC Agropoli 25.0 4 1 3 300 351 75.0 87.8 -12.8 10.1
16 Tezenis Verona Tezenis Verona 0.0 3 0 3 202 219 67.3 73.0 -5.7 24.5

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.