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

Standings for 2022-2023 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Libertas Livorno Libertas Livorno 82.8 29 24 5 2233 1903 77.0 65.6 11.4 90.2
2 ELAchem Vigevano 1955 ELAchem Vigevano 1955 82.1 28 23 5 2231 1875 79.7 67.0 12.7 91.8
3 Unicusano Pielle Livorno Unicusano Pielle Livorno 75.9 29 22 7 2256 1952 77.8 67.3 10.5 88.2
4 Herons Montecatini Herons Montecatini 69.0 29 20 9 2165 1965 74.7 67.8 6.9 79.4
5 Solbat Piombino Solbat Piombino 69.0 29 20 9 2415 2234 83.3 77.0 6.3 74.7
6 3G Electronics Legnano 3G Electronics Legnano 67.9 28 19 9 2208 1929 78.9 68.9 10.0 86.8
7 Fulgor Omegna Fulgor Omegna 55.2 29 16 13 2136 2074 73.7 71.5 2.2 60.1
8 Riso Scotti Pavia Riso Scotti Pavia 50.0 28 14 14 2021 2098 72.2 74.9 -2.7 37.3
9 Gema Montecatini Gema Montecatini 46.7 30 14 16 2198 2268 73.3 75.6 -2.3 39.3
10 Sangiorgese Sangiorgese 43.3 30 13 17 2052 2024 68.4 67.5 0.9 54.8
11 Mamy.eu Oleggio Mamy.eu Oleggio 41.4 29 12 17 2117 2284 73.0 78.8 -5.8 25.8
12 Gallarate Gallarate 37.9 29 11 18 2064 2165 71.2 74.7 -3.5 34.0
13 Borgomanero Borgomanero 29.6 27 8 19 2054 2221 76.1 82.3 -6.2 25.2
14 Junior Casale Monferrato Junior Casale Monferrato 28.6 28 8 20 1867 2110 66.7 75.4 -8.7 15.4
15 Campus Varese Campus Varese 13.3 30 4 26 2240 2657 74.7 88.6 -13.9 8.5
16 S.Bernardo S.Bernardo 10.0 30 3 27 1921 2419 64.0 80.6 -16.6 3.9

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.