Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2010-2011 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Szolnoki Olajbanyasz | 84.6 | 26 | 22 | 4 | 2275 | 1865 | 87.5 | 71.7 | 15.8 | 94.1 |
2 | Alba Fehervar | 84.6 | 26 | 22 | 4 | 2272 | 1882 | 87.4 | 72.4 | 15.0 | 93.2 |
3 | Atomeromu SE | 73.1 | 26 | 19 | 7 | 2211 | 1957 | 85.0 | 75.3 | 9.7 | 84.5 |
4 | Egis Kormend | 61.5 | 26 | 16 | 10 | 2259 | 2038 | 86.9 | 78.4 | 8.5 | 80.7 |
5 | Kecskemeti KSE | 61.5 | 26 | 16 | 10 | 2108 | 1934 | 81.1 | 74.4 | 6.7 | 76.8 |
6 | Falco Szombathely | 53.9 | 26 | 14 | 12 | 2165 | 2100 | 83.3 | 80.8 | 2.5 | 60.4 |
7 | Zalakeramia ZTE KK | 53.9 | 26 | 14 | 12 | 2022 | 2008 | 77.8 | 77.2 | 0.6 | 52.4 |
8 | PVSK-Veolia | 53.9 | 26 | 14 | 12 | 2147 | 2180 | 82.6 | 83.8 | -1.2 | 44.7 |
9 | Sopron KC | 42.3 | 26 | 11 | 15 | 2148 | 2124 | 82.6 | 81.7 | 0.9 | 53.9 |
10 | Nyiregyhaza | 42.3 | 26 | 11 | 15 | 2165 | 2287 | 83.3 | 88.0 | -4.7 | 31.8 |
11 | Naturtex-SZTE-Szedeak | 38.5 | 26 | 10 | 16 | 2171 | 2239 | 83.5 | 86.1 | -2.6 | 39.4 |
12 | Kaposvari KK | 38.5 | 26 | 10 | 16 | 2207 | 2317 | 84.9 | 89.1 | -4.2 | 33.7 |
13 | DEAC | 7.7 | 26 | 2 | 24 | 2028 | 2530 | 78.0 | 97.3 | -19.3 | 4.4 |
14 | Salgotarjani | 3.9 | 26 | 1 | 25 | 1960 | 2677 | 75.4 | 103.0 | -27.6 | 1.3 |
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.