Italy - Serie A2
Standings
Italy - Serie A2 basketball (ITA-2)
Standings for 2010-2011 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Novipiù Monferrato | 70.0 | 30 | 21 | 9 | 2484 | 2220 | 82.8 | 74.0 | 8.8 | 82.7 |
2 | Umana Reyer Venezia (M) | 70.0 | 30 | 21 | 9 | 2338 | 2190 | 77.9 | 73.0 | 4.9 | 71.3 |
3 | La Briosa Barcellona | 63.3 | 30 | 19 | 11 | 2537 | 2424 | 84.6 | 80.8 | 3.8 | 65.3 |
4 | Givova Scafati | 63.3 | 30 | 19 | 11 | 2287 | 2191 | 76.2 | 73.0 | 3.2 | 64.5 |
5 | NTS Informatica Rimini | 63.3 | 30 | 19 | 11 | 2253 | 2176 | 75.1 | 72.5 | 2.6 | 61.9 |
6 | Veroli | 60.0 | 30 | 18 | 12 | 2401 | 2354 | 80.0 | 78.5 | 1.5 | 56.8 |
7 | Snaidero Cucine Udine | 56.7 | 30 | 17 | 13 | 2250 | 2299 | 75.0 | 76.6 | -1.6 | 42.6 |
8 | Estra Pistoia | 46.7 | 30 | 14 | 16 | 2267 | 2245 | 75.6 | 74.8 | 0.8 | 53.4 |
9 | General Contractor Jesi | 46.7 | 30 | 14 | 16 | 2372 | 2432 | 79.1 | 81.1 | -2.0 | 41.4 |
10 | Andrea Costa Imola | 43.3 | 30 | 13 | 17 | 2417 | 2423 | 80.6 | 80.8 | -0.2 | 49.1 |
11 | Kleb Basket Ferrara | 40.0 | 30 | 12 | 18 | 2274 | 2303 | 75.8 | 76.8 | -1.0 | 45.6 |
12 | Unieuro Forli | 40.0 | 30 | 12 | 18 | 2465 | 2536 | 82.2 | 84.5 | -2.3 | 40.3 |
13 | UNAHOTELS Reggio Emilia | 40.0 | 30 | 12 | 18 | 2240 | 2316 | 74.7 | 77.2 | -2.5 | 38.6 |
14 | Assigeco | 40.0 | 30 | 12 | 18 | 2211 | 2305 | 73.7 | 76.8 | -3.1 | 35.9 |
15 | Tezenis Verona | 36.7 | 30 | 11 | 19 | 2272 | 2314 | 75.7 | 77.1 | -1.4 | 43.7 |
16 | San Severo | 20.0 | 30 | 6 | 24 | 2007 | 2347 | 66.9 | 78.2 | -11.3 | 10.2 |
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.