Italy - Serie A2
Standings
Italy - Serie A2 basketball (ITA-2)
Standings for 2012-2013 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Estra Pistoia | 67.9 | 28 | 19 | 9 | 2161 | 2072 | 77.2 | 74.0 | 3.2 | 64.2 |
2 | La Briosa Barcellona | 67.9 | 28 | 19 | 9 | 2326 | 2247 | 83.1 | 80.3 | 2.8 | 61.8 |
3 | Novipiù Monferrato | 64.3 | 28 | 18 | 10 | 2219 | 2138 | 79.3 | 76.4 | 2.9 | 62.7 |
4 | Germani Brescia | 60.7 | 28 | 17 | 11 | 2277 | 2223 | 81.3 | 79.4 | 1.9 | 58.3 |
5 | Unieuro Forli | 57.1 | 28 | 16 | 12 | 2240 | 2273 | 80.0 | 81.2 | -1.2 | 44.9 |
6 | Tezenis Verona | 53.6 | 28 | 15 | 13 | 2044 | 1924 | 73.0 | 68.7 | 4.3 | 69.9 |
7 | Dolomiti Energia Trentino | 50.0 | 28 | 14 | 14 | 2228 | 2157 | 79.6 | 77.0 | 2.6 | 61.1 |
8 | Givova Scafati | 50.0 | 28 | 14 | 14 | 2237 | 2236 | 79.9 | 79.9 | 0.0 | 50.2 |
9 | Fortitudo Bologna | 50.0 | 28 | 14 | 14 | 2137 | 2147 | 76.3 | 76.7 | -0.4 | 48.4 |
10 | FMC Ferentino | 42.9 | 28 | 12 | 16 | 2245 | 2280 | 80.2 | 81.4 | -1.2 | 44.6 |
11 | Capo d'Orlando | 42.9 | 28 | 12 | 16 | 2231 | 2301 | 79.7 | 82.2 | -2.5 | 39.4 |
12 | Pallacanestro Trieste | 39.3 | 28 | 11 | 17 | 2083 | 2112 | 74.4 | 75.4 | -1.0 | 45.2 |
13 | General Contractor Jesi | 39.3 | 28 | 11 | 17 | 2157 | 2253 | 77.0 | 80.5 | -3.5 | 35.3 |
14 | Veroli | 35.7 | 28 | 10 | 18 | 1989 | 2077 | 71.0 | 74.2 | -3.2 | 35.4 |
15 | Andrea Costa Imola | 28.6 | 28 | 8 | 20 | 1954 | 2088 | 69.8 | 74.6 | -4.8 | 28.4 |
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.