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

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Capo d'Orlando Capo d'Orlando 73.3 30 22 8 2577 2362 85.9 78.7 7.2 77.1
2 Virtus Roma Virtus Roma 70.0 30 21 9 2411 2267 80.4 75.6 4.8 70.2
3 Bergamo Basket 2014 Bergamo Basket 2014 63.3 30 19 11 2421 2256 80.7 75.2 5.5 72.7
4 Treviglio Treviglio 63.3 30 19 11 2484 2383 82.8 79.4 3.4 64.0
5 Edilnol Biella Edilnol Biella 60.0 30 18 12 2333 2192 77.8 73.1 4.7 70.4
6 Kienergia Rieti Kienergia Rieti 60.0 30 18 12 2195 2169 73.2 72.3 0.9 54.1
7 Novipiù Monferrato Novipiù Monferrato 56.7 30 17 13 2512 2402 83.7 80.1 3.6 65.1
8 Benacquista Assicurazioni Latina Benacquista Assicurazioni Latina 56.7 30 17 13 2667 2603 88.9 86.8 2.1 58.4
9 Givova Scafati Givova Scafati 53.3 30 16 14 2496 2524 83.2 84.1 -0.9 46.1
10 Trapani Shark Trapani Shark 50.0 30 15 15 2564 2533 85.5 84.4 1.1 54.2
11 Moncada Energy Agrigento Moncada Energy Agrigento 50.0 30 15 15 2270 2309 75.7 77.0 -1.3 44.1
12 Atlante Eurobasket Roma Atlante Eurobasket Roma 43.3 30 13 17 2302 2408 76.7 80.3 -3.6 34.8
13 Bertram Tortona Bertram Tortona 36.7 30 11 19 2303 2333 76.8 77.8 -1.0 45.5
14 OnSharing Siena OnSharing Siena 33.3 30 10 20 1816 2054 60.5 68.5 -8.0 15.3
15 3G Electronics Legnano 3G Electronics Legnano 23.3 30 7 23 2260 2473 75.3 82.4 -7.1 22.2
16 BPC Virtus Cassino BPC Virtus Cassino 6.7 30 2 28 2224 2567 74.1 85.6 -11.5 12.0

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.