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

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Fulgor Omegna Fulgor Omegna 76.7 30 23 7 2267 2017 75.6 67.2 8.4 83.6
2 Solbat Piombino Solbat Piombino 73.3 30 22 8 2197 2066 73.2 68.9 4.3 70.2
3 All Food Enic Firenze All Food Enic Firenze 70.0 30 21 9 2384 2136 79.5 71.2 8.3 82.2
4 ELAchem Vigevano 1955 ELAchem Vigevano 1955 66.7 30 20 10 2261 2140 75.4 71.3 4.1 68.2
5 San Miniato San Miniato 63.3 30 19 11 2293 2145 76.4 71.5 4.9 71.7
6 Sangiorgese Sangiorgese 60.0 30 18 12 2268 2172 75.6 72.4 3.2 64.6
7 S.Bernardo S.Bernardo 60.0 30 18 12 2246 2173 74.9 72.4 2.5 61.3
8 Mamy.eu Oleggio Mamy.eu Oleggio 56.7 30 17 13 2152 2233 71.7 74.4 -2.7 37.4
9 Use Empoli Use Empoli 53.3 30 16 14 2299 2186 76.6 72.9 3.7 66.8
10 Riso Scotti Pavia Riso Scotti Pavia 46.7 30 14 16 2210 2185 73.7 72.8 0.9 53.9
11 Campus Varese Campus Varese 46.7 30 14 16 2143 2208 71.4 73.6 -2.2 39.8
12 Gema Montecatini Gema Montecatini 40.0 30 12 18 2140 2259 71.3 75.3 -4.0 32.0
13 Valsesia Valsesia 36.7 30 11 19 2094 2147 69.8 71.6 -1.8 41.4
14 Basket Cecina Basket Cecina 30.0 30 9 21 2172 2258 72.4 75.3 -2.9 36.8
15 La Sovrana Pulizie Siena La Sovrana Pulizie Siena 13.3 30 4 26 1950 2414 65.0 80.5 -15.5 4.9
16 Vinavil-Cipir Rosmini Vinavil-Cipir Rosmini 6.7 30 2 28 2108 2445 70.3 81.5 -11.2 11.3

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.