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

Standings for 2017-2018 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Fulgor Omegna Fulgor Omegna 83.3 30 25 5 2235 1874 74.5 62.5 12.0 92.1
2 All Food Enic Firenze All Food Enic Firenze 83.3 30 25 5 2476 2146 82.5 71.5 11.0 88.0
3 Urania Milano Urania Milano 70.0 30 21 9 2343 2151 78.1 71.7 6.4 76.7
4 Gema Montecatini Gema Montecatini 66.7 30 20 10 2282 2055 76.1 68.5 7.6 81.1
5 Solbat Piombino Solbat Piombino 60.0 30 18 12 2197 2154 73.2 71.8 1.4 56.8
6 Valsesia Valsesia 56.7 30 17 13 2157 2047 71.9 68.2 3.7 67.4
7 Basket Cecina Basket Cecina 56.7 30 17 13 2227 2291 74.2 76.4 -2.2 40.3
8 Sangiorgese Sangiorgese 53.3 30 16 14 2205 2136 73.5 71.2 2.3 60.9
9 Use Empoli Use Empoli 53.3 30 16 14 2204 2160 73.5 72.0 1.5 57.0
10 Riso Scotti Pavia Riso Scotti Pavia 50.0 30 15 15 2181 2140 72.7 71.3 1.4 56.6
11 San Miniato San Miniato 46.7 30 14 16 2006 2079 66.9 69.3 -2.4 37.8
12 Mamy.eu Oleggio Mamy.eu Oleggio 43.3 30 13 17 2152 2177 71.7 72.6 -0.9 46.0
13 Campus Varese Campus Varese 33.3 30 10 20 1975 2148 65.8 71.6 -5.8 23.7
14 S.Bernardo S.Bernardo 26.7 30 8 22 2143 2344 71.4 78.1 -6.7 22.3
15 Moncalieri Moncalieri 16.7 30 5 25 1934 2241 64.5 74.7 -10.2 11.4
16 Libertas Livorno Libertas Livorno 0.0 30 0 30 2065 2639 68.8 88.0 -19.2 3.2

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.