Italy - Serie B Girone B basketball (ITA-3 B)

Standings for 2019-2020 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Bernareggio Bernareggio 82.6 23 19 4 1828 1535 79.5 66.7 12.8 91.9
2 San Vendemiano San Vendemiano 81.8 22 18 4 1596 1441 72.5 65.5 7.0 80.6
3 Virtus Padova Virtus Padova 69.6 23 16 7 1629 1522 70.8 66.2 4.6 72.0
4 Riso Scotti Pavia Riso Scotti Pavia 63.6 22 14 8 1574 1456 71.5 66.2 5.3 74.7
5 Basket Lecco Basket Lecco 63.6 22 14 8 1598 1583 72.6 72.0 0.6 53.3
6 Pontoni Monfalcone Pontoni Monfalcone 56.5 23 13 10 1692 1673 73.6 72.7 0.9 53.9
7 ELAchem Vigevano 1955 ELAchem Vigevano 1955 54.6 22 12 10 1670 1533 75.9 69.7 6.2 76.7
8 Gemini Mestre Gemini Mestre 50.0 22 11 11 1627 1570 74.0 71.4 2.6 62.2
9 Sangiorgese Sangiorgese 45.5 22 10 12 1460 1518 66.4 69.0 -2.6 36.8
10 Corona Platina Piadena Corona Platina Piadena 45.5 22 10 12 1632 1750 74.2 79.5 -5.3 27.5
11 Juvi Cremona Juvi Cremona 42.9 21 9 12 1427 1457 68.0 69.4 -1.4 42.8
12 Civitus Allianz Vicenza Civitus Allianz Vicenza 36.4 22 8 14 1532 1624 69.6 73.8 -4.2 30.8
13 Olginate Olginate 34.8 23 8 15 1629 1713 70.8 74.5 -3.7 33.2
14 Crema Crema 27.3 22 6 16 1493 1591 67.9 72.3 -4.4 29.2
15 Campus Varese Campus Varese 26.1 23 6 17 1630 1766 70.9 76.8 -5.9 24.7
16 Gilbertina Soresina Gilbertina Soresina 18.2 22 4 18 1474 1759 67.0 80.0 -13.0 7.9

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.