Italy - LBA Serie A
Standings
Italy - LBA Serie A basketball (ITA-1)
Standings for 1996-1997 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Benetton Treviso | 84.6 | 26 | 22 | 4 | 2195 | 1967 | 84.4 | 75.7 | 8.7 | 82.1 |
2 | Virtus Segafredo Bologna | 65.4 | 26 | 17 | 9 | 2282 | 2120 | 87.8 | 81.5 | 6.3 | 73.6 |
3 | Fortitudo Bologna | 65.4 | 26 | 17 | 9 | 2067 | 1932 | 79.5 | 74.3 | 5.2 | 71.9 |
4 | EA7 Emporio Armani Milan | 61.5 | 26 | 16 | 10 | 2101 | 2002 | 80.8 | 77.0 | 3.8 | 66.2 |
5 | Tezenis Verona | 61.5 | 26 | 16 | 10 | 2089 | 2022 | 80.3 | 77.8 | 2.5 | 61.1 |
6 | Virtus Roma | 53.9 | 26 | 14 | 12 | 2176 | 2180 | 83.7 | 83.8 | -0.1 | 49.4 |
7 | Pallacanestro Varese | 50.0 | 26 | 13 | 13 | 2180 | 2139 | 83.8 | 82.3 | 1.5 | 56.6 |
8 | OnSharing Siena | 46.2 | 26 | 12 | 14 | 2021 | 2020 | 77.7 | 77.7 | 0.0 | 50.2 |
9 | Acqua S.Bernardo Cantù | 46.2 | 26 | 12 | 14 | 2001 | 2038 | 77.0 | 78.4 | -1.4 | 43.7 |
10 | Estra Pistoia | 42.3 | 26 | 11 | 15 | 2057 | 2187 | 79.1 | 84.1 | -5.0 | 29.9 |
11 | Viola Reggio Calabria | 38.5 | 26 | 10 | 16 | 2093 | 2213 | 80.5 | 85.1 | -4.6 | 31.5 |
12 | Carpegna Prosciutto Pesaro | 34.6 | 26 | 9 | 17 | 2223 | 2275 | 85.5 | 87.5 | -2.0 | 42.0 |
13 | Pallacanestro Trieste | 30.8 | 26 | 8 | 18 | 2207 | 2354 | 84.9 | 90.5 | -5.6 | 29.0 |
14 | Libertas Forlì | 19.2 | 26 | 5 | 21 | 1951 | 2194 | 75.0 | 84.4 | -9.4 | 16.3 |
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.