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

Standings for 2020-2021 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Ristopro Fabriano Ristopro Fabriano 72.7 22 16 6 1639 1447 74.5 65.8 8.7 85.0
2 Civitus Allianz Vicenza Civitus Allianz Vicenza 72.7 22 16 6 1696 1574 77.1 71.5 5.6 73.9
3 Gesteco Cividale Gesteco Cividale 68.2 22 15 7 1675 1527 76.1 69.4 6.7 78.4
4 Liofilchem Roseto Liofilchem Roseto 68.2 22 15 7 1680 1578 76.4 71.7 4.7 70.5
5 San Vendemiano San Vendemiano 63.6 22 14 8 1608 1567 73.1 71.2 1.9 58.9
6 Luciana Mosconi Ancona Luciana Mosconi Ancona 54.6 22 12 10 1627 1634 74.0 74.3 -0.3 48.5
7 Goldengas Senigallia Goldengas Senigallia 45.5 22 10 12 1700 1678 77.3 76.3 1.0 54.5
8 General Contractor Jesi General Contractor Jesi 45.5 22 10 12 1488 1508 67.6 68.5 -0.9 45.4
9 Virtus Padova Virtus Padova 45.5 22 10 12 1621 1661 73.7 75.5 -1.8 41.6
10 Giulia Basket Giulianova Giulia Basket Giulianova 45.5 22 10 12 1496 1537 68.0 69.9 -1.9 40.7
11 Pontoni Monfalcone Pontoni Monfalcone 45.5 22 10 12 1611 1666 73.2 75.7 -2.5 38.5
12 Gemini Mestre Gemini Mestre 40.9 22 9 13 1637 1690 74.4 76.8 -2.4 39.1
13 Rennova Teramo Rennova Teramo 36.4 22 8 14 1566 1603 71.2 72.9 -1.7 41.9
14 Sutor Montegranaro Sutor Montegranaro 36.4 22 8 14 1511 1595 68.7 72.5 -3.8 32.0
15 Virtus Civitanova Virtus Civitanova 36.4 22 8 14 1577 1680 71.7 76.4 -4.7 29.3
16 UBP Petrarca Padova UBP Petrarca Padova 22.7 22 5 17 1461 1648 66.4 74.9 -8.5 15.8

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.