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

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Fortitudo Bologna Fortitudo Bologna 83.3 30 25 5 2596 2312 86.5 77.1 9.4 83.4
2 Nutribullet Treviso Nutribullet Treviso 80.0 30 24 6 2443 2053 81.4 68.4 13.0 91.8
3 Poderosa Pall. Montegranaro Poderosa Pall. Montegranaro 76.7 30 23 7 2387 2207 79.6 73.6 6.0 74.8
4 Tezenis Verona Tezenis Verona 63.3 30 19 11 2386 2320 79.5 77.3 2.2 59.6
5 Apu Old Wild West Udine Apu Old Wild West Udine 60.0 30 18 12 2356 2231 78.5 74.4 4.1 68.1
6 Unieuro Forli Unieuro Forli 53.3 30 16 14 2427 2428 80.9 80.9 0.0 49.9
7 Liofilchem Roseto Liofilchem Roseto 50.0 30 15 15 2451 2378 81.7 79.3 2.4 60.4
8 Staff Mantova Staff Mantova 50.0 30 15 15 2291 2321 76.4 77.4 -1.0 45.5
9 OraSi Ravenna OraSi Ravenna 43.3 30 13 17 2318 2437 77.3 81.2 -3.9 33.3
10 Andrea Costa Imola Andrea Costa Imola 40.0 30 12 18 2512 2580 83.7 86.0 -2.3 40.8
11 UCC Assigeco Piacenza UCC Assigeco Piacenza 36.7 30 11 19 2364 2361 78.8 78.7 0.1 50.4
12 Kleb Basket Ferrara Kleb Basket Ferrara 36.7 30 11 19 2390 2487 79.7 82.9 -3.2 36.5
13 Hertz Cagliari Dinamo Academy Hertz Cagliari Dinamo Academy 36.7 30 11 19 2390 2610 79.7 87.0 -7.3 22.7
14 Sella Cento Sella Cento 30.0 30 9 21 2230 2402 74.3 80.1 -5.8 26.2
15 Bakery Piacenza Bakery Piacenza 30.0 30 9 21 2331 2511 77.7 83.7 -6.0 26.2
16 General Contractor Jesi General Contractor Jesi 30.0 30 9 21 2437 2671 81.2 89.0 -7.8 21.8

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.