Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2007-2008 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Falco Szombathely | 80.8 | 26 | 21 | 5 | 2471 | 2117 | 95.0 | 81.4 | 13.6 | 89.6 |
2 | Dombovar | 73.1 | 26 | 19 | 7 | 2192 | 2153 | 84.3 | 82.8 | 1.5 | 56.2 |
3 | PVSK-Veolia | 65.4 | 26 | 17 | 9 | 2100 | 2047 | 80.8 | 78.7 | 2.1 | 58.8 |
4 | Alba Fehervar | 61.5 | 26 | 16 | 10 | 2185 | 2050 | 84.0 | 78.8 | 5.2 | 70.8 |
5 | Atomeromu SE | 57.7 | 26 | 15 | 11 | 2140 | 2002 | 82.3 | 77.0 | 5.3 | 71.7 |
6 | Szolnoki Olajbanyasz | 57.7 | 26 | 15 | 11 | 1981 | 2025 | 76.2 | 77.9 | -1.7 | 42.4 |
7 | Egis Kormend | 53.9 | 26 | 14 | 12 | 2228 | 2032 | 85.7 | 78.2 | 7.5 | 78.3 |
8 | Nyiregyhaza | 53.9 | 26 | 14 | 12 | 2241 | 2268 | 86.2 | 87.2 | -1.0 | 45.8 |
9 | Kecskemeti KSE | 46.2 | 26 | 12 | 14 | 2180 | 2154 | 83.8 | 82.8 | 1.0 | 54.2 |
10 | Sopron KC | 46.2 | 26 | 12 | 14 | 2212 | 2243 | 85.1 | 86.3 | -1.2 | 45.2 |
11 | Zalakeramia ZTE KK | 38.5 | 26 | 10 | 16 | 2002 | 2004 | 77.0 | 77.1 | -0.1 | 49.7 |
12 | Kaposvari KK | 26.9 | 26 | 7 | 19 | 2050 | 2200 | 78.8 | 84.6 | -5.8 | 27.2 |
13 | MAFC Budapest | 23.1 | 26 | 6 | 20 | 2036 | 2353 | 78.3 | 90.5 | -12.2 | 11.8 |
14 | Bodrogi Bau Vasarhelyi Kosarsuli | 15.4 | 26 | 4 | 22 | 2232 | 2602 | 85.8 | 100.1 | -14.3 | 10.6 |
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.