Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2004-2005 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Atomeromu SE | 77.8 | 27 | 21 | 6 | 2306 | 1954 | 85.4 | 72.4 | 13.0 | 90.9 |
2 | Alba Fehervar | 77.8 | 27 | 21 | 6 | 2577 | 2197 | 95.4 | 81.4 | 14.0 | 90.2 |
3 | DEAC | 76.0 | 25 | 19 | 6 | 2082 | 1822 | 83.3 | 72.9 | 10.4 | 86.5 |
4 | Kecskemeti KSE | 73.1 | 26 | 19 | 7 | 2299 | 2065 | 88.4 | 79.4 | 9.0 | 81.7 |
5 | PVSK-Veolia | 73.1 | 26 | 19 | 7 | 2160 | 2039 | 83.1 | 78.4 | 4.7 | 69.0 |
6 | Szolnoki Olajbanyasz | 70.4 | 27 | 19 | 8 | 2166 | 2105 | 80.2 | 78.0 | 2.2 | 59.8 |
7 | Falco Szombathely | 52.0 | 25 | 13 | 12 | 2173 | 2121 | 86.9 | 84.8 | 2.1 | 58.3 |
8 | Kaposvari KK | 46.2 | 26 | 12 | 14 | 2087 | 2033 | 80.3 | 78.2 | 2.1 | 59.0 |
9 | Egis Kormend | 44.0 | 25 | 11 | 14 | 1915 | 1903 | 76.6 | 76.1 | 0.5 | 52.2 |
10 | Zalakeramia ZTE KK | 29.6 | 27 | 8 | 19 | 2087 | 2310 | 77.3 | 85.6 | -8.3 | 19.6 |
11 | Nyiregyhaza | 29.2 | 24 | 7 | 17 | 1841 | 2055 | 76.7 | 85.6 | -8.9 | 17.8 |
12 | Dombovar | 23.1 | 26 | 6 | 20 | 2043 | 2376 | 78.6 | 91.4 | -12.8 | 10.9 |
13 | MAFC Budapest | 14.8 | 27 | 4 | 23 | 2004 | 2366 | 74.2 | 87.6 | -13.4 | 9.0 |
14 | Fenstherm-Egri Fekete Sasok | 11.5 | 26 | 3 | 23 | 1996 | 2390 | 76.8 | 91.9 | -15.1 | 7.5 |
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.