Italy - Serie B Girone A
Standings
Italy - Serie B Girone A basketball (ITA-3 A)
Standings for 2019-2020 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | San Miniato | 81.8 | 22 | 18 | 4 | 1630 | 1409 | 74.1 | 64.0 | 10.1 | 88.4 |
2 | All Food Enic Firenze | 81.0 | 21 | 17 | 4 | 1648 | 1442 | 78.5 | 68.7 | 9.8 | 86.5 |
3 | Fulgor Omegna | 77.3 | 22 | 17 | 5 | 1600 | 1409 | 72.7 | 64.0 | 8.7 | 85.4 |
4 | Green Basket Palermo | 76.2 | 21 | 16 | 5 | 1607 | 1468 | 76.5 | 69.9 | 6.6 | 77.9 |
5 | Solbat Piombino | 68.2 | 22 | 15 | 7 | 1666 | 1444 | 75.7 | 65.6 | 10.1 | 88.0 |
6 | S.Bernardo | 68.2 | 22 | 15 | 7 | 1656 | 1577 | 75.3 | 71.7 | 3.6 | 66.4 |
7 | Use Empoli | 59.1 | 22 | 13 | 9 | 1635 | 1493 | 74.3 | 67.9 | 6.4 | 78.0 |
8 | Geonova B.C. Lucca | 45.5 | 22 | 10 | 12 | 1630 | 1681 | 74.1 | 76.4 | -2.3 | 39.4 |
9 | Basket Cecina | 40.9 | 22 | 9 | 13 | 1648 | 1673 | 74.9 | 76.0 | -1.1 | 44.8 |
10 | Costa D'Orlando | 30.4 | 23 | 7 | 16 | 1461 | 1741 | 63.5 | 75.7 | -12.2 | 8.0 |
11 | Mamy.eu Oleggio | 28.6 | 21 | 6 | 15 | 1541 | 1633 | 73.4 | 77.8 | -4.4 | 30.9 |
12 | Valsesia | 27.3 | 22 | 6 | 16 | 1426 | 1585 | 64.8 | 72.0 | -7.2 | 18.7 |
13 | Fidelia Torrenova | 23.8 | 21 | 5 | 16 | 1322 | 1569 | 63.0 | 74.7 | -11.7 | 8.5 |
14 | Gema Montecatini | 22.7 | 22 | 5 | 17 | 1455 | 1667 | 66.1 | 75.8 | -9.7 | 13.1 |
15 | Fortitudo Alessandria | 19.1 | 21 | 4 | 17 | 1401 | 1535 | 66.7 | 73.1 | -6.4 | 21.9 |
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.