Italy - Serie A2 Girone EST basketball (ITA-2 EST)

Standings for 2019-2020 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 OraSi Ravenna OraSi Ravenna 80.0 25 20 5 1978 1845 79.1 73.8 5.3 72.5
2 Unieuro Forli Unieuro Forli 70.8 24 17 7 1937 1790 80.7 74.6 6.1 75.0
3 Tezenis Verona Tezenis Verona 62.5 24 15 9 1882 1755 78.4 73.1 5.3 72.5
4 Staff Mantova Staff Mantova 60.0 25 15 10 1927 1803 77.1 72.1 5.0 71.6
5 Apu Old Wild West Udine Apu Old Wild West Udine 60.0 25 15 10 1977 1867 79.1 74.7 4.4 68.9
6 Kleb Basket Ferrara Kleb Basket Ferrara 60.0 25 15 10 1988 1987 79.5 79.5 0.0 50.2
7 Urania Milano Urania Milano 50.0 26 13 13 2029 1976 78.0 76.0 2.0 59.1
8 UCC Assigeco Piacenza UCC Assigeco Piacenza 41.7 24 10 14 1799 1878 75.0 78.3 -3.3 35.5
9 Andrea Costa Imola Andrea Costa Imola 41.7 24 10 14 1858 2010 77.4 83.8 -6.4 25.1
10 Allianz Pazienza San Severo Allianz Pazienza San Severo 40.0 25 10 15 1920 1997 76.8 79.9 -3.1 36.7
11 Poderosa Pall. Montegranaro Poderosa Pall. Montegranaro 37.5 24 9 15 1928 1947 80.3 81.1 -0.8 46.6
12 JuveCaserta JuveCaserta 36.0 25 9 16 1947 2027 77.9 81.1 -3.2 36.4
13 Liofilchem Roseto Liofilchem Roseto 30.8 26 8 18 1901 2093 73.1 80.5 -7.4 20.8
14 Agribertocchi Orzinuovi Agribertocchi Orzinuovi 29.2 24 7 17 1887 1983 78.6 82.6 -4.0 33.4

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.