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

Standings for 2022-2023 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Luiss Roma Luiss Roma 82.8 29 24 5 2417 2147 83.3 74.0 9.3 83.9
2 Liofilchem Roseto Liofilchem Roseto 80.0 30 24 6 2381 1971 79.4 65.7 13.7 93.3
3 Ruvo di Puglia Ruvo di Puglia 78.6 28 22 6 2041 1758 72.9 62.8 10.1 88.9
4 Sant’Antimo Sant’Antimo 69.0 29 20 9 2267 2093 78.2 72.2 6.0 75.2
5 Ble Juvecaserta Ble Juvecaserta 66.7 27 18 9 2161 2054 80.0 76.1 3.9 67.0
6 BPC Virtus Cassino BPC Virtus Cassino 62.1 29 18 11 2271 2144 78.3 73.9 4.4 69.0
7 Lions Bisceglie Lions Bisceglie 57.1 28 16 12 2103 2139 75.1 76.4 -1.3 44.1
8 Del.Fes Avellino Del.Fes Avellino 55.2 29 16 13 2130 1992 73.4 68.7 4.7 71.7
9 CJ Basket Taranto CJ Basket Taranto 51.7 29 15 14 2136 2089 73.7 72.0 1.7 57.7
10 Virtus Arechi Salerno Virtus Arechi Salerno 44.4 27 12 15 1998 2021 74.0 74.9 -0.9 46.0
11 Sala Consilina Sala Consilina 43.3 30 13 17 2072 2109 69.1 70.3 -1.2 43.9
12 Rennova Teramo Rennova Teramo 36.7 30 11 19 2150 2155 71.7 71.8 -0.1 49.2
13 Lapietra Monopoli Lapietra Monopoli 30.0 30 9 21 2206 2347 73.5 78.2 -4.7 29.7
14 Corato Corato 21.4 28 6 22 1938 2236 69.2 79.9 -10.7 12.0
15 Pescara BK 2.0 Pescara BK 2.0 14.3 28 4 24 1634 2132 58.4 76.1 -17.7 2.4
16 Bava Pozzuoli Bava Pozzuoli 6.9 29 2 27 1881 2399 64.9 82.7 -17.8 3.3

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.