Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2011-2012 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Falco Szombathely | 88.5 | 26 | 23 | 3 | 2336 | 2002 | 89.8 | 77.0 | 12.8 | 89.5 |
2 | Alba Fehervar | 80.8 | 26 | 21 | 5 | 2177 | 1763 | 83.7 | 67.8 | 15.9 | 95.0 |
3 | Szolnoki Olajbanyasz | 80.8 | 26 | 21 | 5 | 2288 | 2001 | 88.0 | 77.0 | 11.0 | 86.6 |
4 | Egis Kormend | 73.1 | 26 | 19 | 7 | 2161 | 1884 | 83.1 | 72.5 | 10.6 | 87.1 |
5 | Atomeromu SE | 69.2 | 26 | 18 | 8 | 2153 | 1998 | 82.8 | 76.8 | 6.0 | 73.9 |
6 | Kecskemeti KSE | 53.9 | 26 | 14 | 12 | 1982 | 1856 | 76.2 | 71.4 | 4.8 | 71.4 |
7 | PVSK-Veolia | 50.0 | 26 | 13 | 13 | 2085 | 2175 | 80.2 | 83.7 | -3.5 | 35.7 |
8 | Sopron KC | 46.2 | 26 | 12 | 14 | 2029 | 2054 | 78.0 | 79.0 | -1.0 | 45.8 |
9 | Kaposvari KK | 42.3 | 26 | 11 | 15 | 1972 | 2145 | 75.8 | 82.5 | -6.7 | 23.7 |
10 | Naturtex-SZTE-Szedeak | 30.8 | 26 | 8 | 18 | 2111 | 2224 | 81.2 | 85.5 | -4.3 | 32.6 |
11 | DEAC | 30.8 | 26 | 8 | 18 | 2019 | 2314 | 77.7 | 89.0 | -11.3 | 13.0 |
12 | Nyiregyhaza | 26.9 | 26 | 7 | 19 | 1962 | 2267 | 75.5 | 87.2 | -11.7 | 11.8 |
13 | Jaszberenyi KSE | 23.1 | 26 | 6 | 20 | 2075 | 2301 | 79.8 | 88.5 | -8.7 | 19.2 |
14 | Zalakeramia ZTE KK | 3.9 | 26 | 1 | 25 | 1880 | 2246 | 72.3 | 86.4 | -14.1 | 7.8 |
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.