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

Standings for 2022-2023 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Agribertocchi Orzinuovi Agribertocchi Orzinuovi 82.1 28 23 5 2068 1785 73.9 63.8 10.1 88.6
2 Gemini Mestre Gemini Mestre 79.3 29 23 6 2307 2029 79.6 70.0 9.6 85.6
3 San Vendemiano San Vendemiano 63.3 30 19 11 2254 2146 75.1 71.5 3.6 66.4
4 Virtus Padova Virtus Padova 62.1 29 18 11 2216 2147 76.4 74.0 2.4 60.8
5 Desio Desio 60.0 30 18 12 2350 2172 78.3 72.4 5.9 74.9
6 Bernareggio Bernareggio 60.0 30 18 12 2400 2243 80.0 74.8 5.2 71.9
7 LuxArm Lumezzane LuxArm Lumezzane 58.6 29 17 12 2098 2019 72.3 69.6 2.7 63.0
8 UBP Petrarca Padova UBP Petrarca Padova 53.9 26 14 12 1915 1950 73.7 75.0 -1.3 43.7
9 Crema Crema 44.8 29 13 16 2155 2210 74.3 76.2 -1.9 41.3
10 Pontoni Monfalcone Pontoni Monfalcone 43.3 30 13 17 2198 2242 73.3 74.7 -1.4 43.2
11 Civitus Allianz Vicenza Civitus Allianz Vicenza 42.9 28 12 16 1977 2066 70.6 73.8 -3.2 35.1
12 Virtus Ragusa Virtus Ragusa 41.4 29 12 17 2244 2314 77.4 79.8 -2.4 39.5
13 Capo d'Orlando Capo d'Orlando 37.0 27 10 17 2081 2146 77.1 79.5 -2.4 39.5
14 Bergamo Basket 2014 Bergamo Basket 2014 33.3 30 10 20 2221 2374 74.0 79.1 -5.1 28.4
15 Viola Reggio Calabria Viola Reggio Calabria 21.4 28 6 22 2127 2393 76.0 85.5 -9.5 16.3
16 Green Basket Palermo Green Basket Palermo 14.3 28 4 24 1956 2331 69.9 83.3 -13.4 8.0

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.