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

Standings for 2016-2017 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Virtus Segafredo Bologna Virtus Segafredo Bologna 85.7 14 12 2 1133 987 80.9 70.5 10.4 87.2
2 Fortitudo Bologna Fortitudo Bologna 61.5 13 8 5 953 938 73.3 72.2 1.1 55.5
3 OraSi Ravenna OraSi Ravenna 60.0 10 6 4 752 782 75.2 78.2 -3.0 36.7
4 Nutribullet Treviso Nutribullet Treviso 57.1 7 4 3 526 513 75.1 73.3 1.8 58.6
5 Pallacanestro Trieste Pallacanestro Trieste 52.9 17 9 8 1302 1228 76.6 72.2 4.4 69.3
6 Liofilchem Roseto Liofilchem Roseto 50.0 8 4 4 575 613 71.9 76.6 -4.7 29.1
7 Bertram Tortona Bertram Tortona 44.4 9 4 5 610 655 67.8 72.8 -5.0 27.1
8 Staff Mantova Staff Mantova 40.0 5 2 3 360 359 72.0 71.8 0.2 51.0
9 Edilnol Biella Edilnol Biella 40.0 5 2 3 367 378 73.4 75.6 -2.2 39.9
10 Treviglio Treviglio 40.0 5 2 3 382 420 76.4 84.0 -7.6 21.1
11 Tezenis Verona Tezenis Verona 37.5 8 3 5 578 579 72.3 72.4 -0.1 49.4
12 SAE Scientifica Legnano SAE Scientifica Legnano 25.0 4 1 3 251 251 62.8 62.8 0.0 50.0
13 Virtus Roma Virtus Roma 25.0 4 1 3 349 352 87.3 88.0 -0.7 47.0
14 Novipiù Monferrato Novipiù Monferrato 25.0 4 1 3 278 299 69.5 74.8 -5.3 26.6
15 Moncada Energy Agrigento Moncada Energy Agrigento 25.0 4 1 3 257 287 64.3 71.8 -7.5 17.7
16 Trapani Shark Trapani Shark 0.0 3 0 3 203 235 67.7 78.3 -10.6 11.5

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.