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

Standings for 2020-2021 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Umana Chiusi Umana Chiusi 81.0 21 17 4 1671 1369 79.6 65.2 14.4 94.1
2 Akern Libertas Livorno Akern Libertas Livorno 77.3 22 17 5 1749 1636 79.5 74.4 5.1 71.7
3 Fulgor Omegna Fulgor Omegna 72.7 22 16 6 1672 1564 76.0 71.1 4.9 71.7
4 RivieraBanca Rimini RivieraBanca Rimini 68.2 22 15 7 1637 1500 74.4 68.2 6.2 77.1
5 San Miniato San Miniato 63.6 22 14 8 1712 1552 77.8 70.5 7.3 79.7
6 Blacks Faenza Blacks Faenza 63.6 22 14 8 1614 1512 73.4 68.7 4.7 71.3
7 Tigers Romagna Tigers Romagna 45.5 22 10 12 1543 1558 70.1 70.8 -0.7 46.6
8 All Food Enic Firenze All Food Enic Firenze 45.5 22 10 12 1524 1603 69.3 72.9 -3.6 33.1
9 Solbat Piombino Solbat Piombino 45.5 22 10 12 1608 1694 73.1 77.0 -3.9 32.6
10 Mamy.eu Oleggio Mamy.eu Oleggio 40.9 22 9 13 1478 1473 67.2 67.0 0.2 51.2
11 Andrea Costa Imola Andrea Costa Imola 40.9 22 9 13 1625 1717 73.9 78.0 -4.1 31.7
12 S.Bernardo S.Bernardo 40.9 22 9 13 1655 1787 75.2 81.2 -6.0 25.6
13 Logimatic Group Ozzano Logimatic Group Ozzano 36.4 22 8 14 1663 1680 75.6 76.4 -0.8 46.5
14 Basket Cecina Basket Cecina 36.4 22 8 14 1599 1636 72.7 74.4 -1.7 42.1
15 Use Empoli Use Empoli 36.4 22 8 14 1550 1604 70.5 72.9 -2.4 38.3
16 Fortitudo Alessandria Fortitudo Alessandria 4.8 21 1 20 1335 1750 63.6 83.3 -19.7 2.3

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.