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

Standings for 2021-2022 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 San Miniato San Miniato 80.0 30 24 6 2219 1982 74.0 66.1 7.9 82.8
2 ELAchem Vigevano 1955 ELAchem Vigevano 1955 76.7 30 23 7 2187 1945 72.9 64.8 8.1 83.6
3 Fulgor Omegna Fulgor Omegna 73.3 30 22 8 2277 2179 75.9 72.6 3.3 64.8
4 SAE Scientifica Legnano SAE Scientifica Legnano 63.3 30 19 11 2283 2117 76.1 70.6 5.5 74.1
5 Riso Scotti Pavia Riso Scotti Pavia 60.0 30 18 12 2265 2135 75.5 71.2 4.3 69.5
6 Solbat Piombino Solbat Piombino 50.0 30 15 15 2184 2218 72.8 73.9 -1.1 44.6
7 Akern Libertas Livorno Akern Libertas Livorno 50.0 30 15 15 2059 2118 68.6 70.6 -2.0 40.3
8 S.Bernardo S.Bernardo 50.0 30 15 15 2142 2301 71.4 76.7 -5.3 27.0
9 Pielle Livorno Pielle Livorno 46.7 30 14 16 2188 2072 72.9 69.1 3.8 68.1
10 All Food Enic Firenze All Food Enic Firenze 43.3 30 13 17 2162 2143 72.1 71.4 0.7 53.1
11 Use Empoli Use Empoli 43.3 30 13 17 2089 2130 69.6 71.0 -1.4 43.3
12 Campus Varese Campus Varese 43.3 30 13 17 2068 2203 68.9 73.4 -4.5 29.3
13 Mamy.eu Oleggio Mamy.eu Oleggio 40.0 30 12 18 2127 2175 70.9 72.5 -1.6 42.3
14 Sangiorgese Sangiorgese 36.7 30 11 19 2045 2065 68.2 68.8 -0.6 46.6
15 Basket Cecina Basket Cecina 30.0 30 9 21 2071 2277 69.0 75.9 -6.9 21.1
16 Borgomanero Borgomanero 13.3 30 4 26 2177 2483 72.6 82.8 -10.2 13.8

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.