Greece - Heba A2
Standings
Greece - Heba A2 basketball (GRE-2)
Standings for 2007-2008 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Trikala | 80.0 | 30 | 24 | 6 | 2188 | 1946 | 72.9 | 64.9 | 8.0 | 83.6 |
2 | Kavalas | 73.3 | 30 | 22 | 8 | 2179 | 1957 | 72.6 | 65.2 | 7.4 | 81.7 |
3 | Dafni | 73.3 | 30 | 22 | 8 | 2133 | 1932 | 71.1 | 64.4 | 6.7 | 79.8 |
4 | Peristeri | 63.3 | 30 | 19 | 11 | 2244 | 2051 | 74.8 | 68.4 | 6.4 | 77.7 |
5 | Ionikos Lamias | 63.3 | 30 | 19 | 11 | 2185 | 2082 | 72.8 | 69.4 | 3.4 | 66.2 |
6 | Iraklis | 53.3 | 30 | 16 | 14 | 2194 | 2154 | 73.1 | 71.8 | 1.3 | 56.4 |
7 | Ment | 50.0 | 30 | 15 | 15 | 2217 | 2155 | 73.9 | 71.8 | 2.1 | 59.7 |
8 | Ermis Peramatos | 50.0 | 30 | 15 | 15 | 2189 | 2136 | 73.0 | 71.2 | 1.8 | 58.4 |
9 | Pagrati | 50.0 | 30 | 15 | 15 | 2042 | 2069 | 68.1 | 69.0 | -0.9 | 45.4 |
10 | Panerythraikos | 50.0 | 30 | 15 | 15 | 2080 | 2122 | 69.3 | 70.7 | -1.4 | 43.1 |
11 | Xanthi | 43.3 | 30 | 13 | 17 | 2231 | 2390 | 74.4 | 79.7 | -5.3 | 27.7 |
12 | Ilisiakos | 41.4 | 29 | 12 | 17 | 2078 | 2088 | 71.7 | 72.0 | -0.3 | 48.3 |
13 | Apollon Patras | 36.7 | 30 | 11 | 19 | 1914 | 2092 | 63.8 | 69.7 | -5.9 | 22.5 |
14 | AO Sporting | 24.1 | 29 | 7 | 22 | 2106 | 2342 | 72.6 | 80.8 | -8.2 | 18.6 |
15 | Halkidas | 23.3 | 30 | 7 | 23 | 2146 | 2373 | 71.5 | 79.1 | -7.6 | 19.8 |
16 | Faliro | 23.3 | 30 | 7 | 23 | 1974 | 2211 | 65.8 | 73.7 | -7.9 | 17.1 |
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.