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 Akern Libertas Livorno Akern Libertas Livorno 83.3 30 25 5 2308 1952 76.9 65.1 11.8 91.1
2 ELAchem Vigevano 1955 ELAchem Vigevano 1955 76.7 30 23 7 2375 2037 79.2 67.9 11.3 89.4
3 Pielle Livorno Pielle Livorno 76.7 30 23 7 2339 2025 78.0 67.5 10.5 88.1
4 Herons Montecatini Herons Montecatini 70.0 30 21 9 2248 2045 74.9 68.2 6.7 78.9
5 SAE Scientifica Legnano SAE Scientifica Legnano 69.0 29 20 9 2292 2002 79.0 69.0 10.0 86.8
6 Solbat Piombino Solbat Piombino 66.7 30 20 10 2495 2317 83.2 77.2 6.0 73.7
7 Fulgor Omegna Fulgor Omegna 56.7 30 17 13 2208 2134 73.6 71.1 2.5 61.6
8 Gema Montecatini Gema Montecatini 46.7 30 14 16 2198 2268 73.3 75.6 -2.3 39.3
9 Riso Scotti Pavia Riso Scotti Pavia 46.7 30 14 16 2163 2261 72.1 75.4 -3.3 35.1
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 40.0 30 12 18 2201 2376 73.4 79.2 -5.8 25.7
12 Gallarate Gallarate 36.7 30 11 19 2140 2252 71.3 75.1 -3.8 33.0
13 Borgomanero Borgomanero 36.7 30 11 19 2315 2458 77.2 81.9 -4.7 30.3
14 Junior Casale Monferrato Junior Casale Monferrato 29.0 31 9 22 2076 2344 67.0 75.6 -8.6 15.6
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.