Italy - Serie A2
Standings
Italy - Serie A2 basketball (ITA-2)
Standings for 2011-2012 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | UNAHOTELS Reggio Emilia | 71.4 | 28 | 20 | 8 | 2213 | 2113 | 79.0 | 75.5 | 3.5 | 65.5 |
2 | Happy Casa Brindisi | 64.3 | 28 | 18 | 10 | 2200 | 2119 | 78.6 | 75.7 | 2.9 | 62.8 |
3 | Estra Pistoia | 64.3 | 28 | 18 | 10 | 2272 | 2212 | 81.1 | 79.0 | 2.1 | 59.2 |
4 | Givova Scafati | 60.7 | 28 | 17 | 11 | 2315 | 2191 | 82.7 | 78.3 | 4.4 | 68.3 |
5 | La Briosa Barcellona | 57.1 | 28 | 16 | 12 | 2277 | 2136 | 81.3 | 76.3 | 5.0 | 70.9 |
6 | Germani Brescia | 53.6 | 28 | 15 | 13 | 2130 | 2161 | 76.1 | 77.2 | -1.1 | 45.0 |
7 | Bakery Piacenza | 50.0 | 28 | 14 | 14 | 2162 | 2162 | 77.2 | 77.2 | 0.0 | 50.0 |
8 | Veroli | 46.4 | 28 | 13 | 15 | 2188 | 2185 | 78.1 | 78.0 | 0.1 | 50.5 |
9 | General Contractor Jesi | 46.4 | 28 | 13 | 15 | 2243 | 2288 | 80.1 | 81.7 | -1.6 | 43.1 |
10 | Ostuni | 46.4 | 28 | 13 | 15 | 2102 | 2186 | 75.1 | 78.1 | -3.0 | 36.7 |
11 | Tezenis Verona | 42.9 | 28 | 12 | 16 | 2151 | 2168 | 76.8 | 77.4 | -0.6 | 47.3 |
12 | Fortitudo Bologna | 39.3 | 28 | 11 | 17 | 2242 | 2310 | 80.1 | 82.5 | -2.4 | 39.8 |
13 | Sant’Antimo | 39.3 | 28 | 11 | 17 | 2044 | 2146 | 73.0 | 76.6 | -3.6 | 33.7 |
14 | Andrea Costa Imola | 35.7 | 28 | 10 | 18 | 2084 | 2133 | 74.4 | 76.2 | -1.8 | 42.0 |
15 | Unieuro Forli | 32.1 | 28 | 9 | 19 | 2246 | 2359 | 80.2 | 84.3 | -4.1 | 33.6 |
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.