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

Standings for 2019-2020 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Ristopro Fabriano Ristopro Fabriano 79.2 24 19 5 1822 1564 75.9 65.2 10.7 89.3
2 Sella Cento Sella Cento 78.3 23 18 5 1755 1521 76.3 66.1 10.2 88.0
3 Tigers Romagna Tigers Romagna 69.6 23 16 7 1644 1508 71.5 65.6 5.9 76.9
4 RivieraBanca Rimini RivieraBanca Rimini 69.6 23 16 7 1771 1696 77.0 73.7 3.3 64.6
5 Bakery Piacenza Bakery Piacenza 68.2 22 15 7 1581 1438 71.9 65.4 6.5 78.9
6 Chieti Chieti 60.9 23 14 9 1732 1658 75.3 72.1 3.2 64.7
7 Virtus Civitanova Virtus Civitanova 56.5 23 13 10 1644 1644 71.5 71.5 0.0 50.0
8 Sinermatic Ozzano Sinermatic Ozzano 52.2 23 12 11 1618 1660 70.3 72.2 -1.9 41.2
9 Jesi Jesi 50.0 22 11 11 1549 1553 70.4 70.6 -0.2 49.1
10 Blacks Faenza Blacks Faenza 47.8 23 11 12 1703 1662 74.0 72.3 1.7 58.4
11 Giulia Basket Giulianova Giulia Basket Giulianova 39.1 23 9 14 1552 1683 67.5 73.2 -5.7 24.5
12 Goldengas Senigallia Goldengas Senigallia 36.4 22 8 14 1692 1706 76.9 77.5 -0.6 47.1
13 Sutor Montegranaro Sutor Montegranaro 33.3 24 8 16 1718 1825 71.6 76.0 -4.4 30.1
14 Luciana Mosconi Ancona Luciana Mosconi Ancona 30.4 23 7 16 1608 1731 69.9 75.3 -5.4 26.4
15 Rennova Teramo Rennova Teramo 18.2 22 4 18 1454 1708 66.1 77.6 -11.5 9.6
16 Porto Sant'Elpidio Porto Sant'Elpidio 8.7 23 2 21 1539 1825 66.9 79.3 -12.4 8.5

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.