Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2020-2021 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Szolnoki Olajbanyasz | 76.9 | 26 | 20 | 6 | 2191 | 1945 | 84.3 | 74.8 | 9.5 | 84.0 |
2 | Falco Szombathely | 73.1 | 26 | 19 | 7 | 2351 | 2109 | 90.4 | 81.1 | 9.3 | 81.9 |
3 | Naturtex-SZTE-Szedeak | 69.2 | 26 | 18 | 8 | 2343 | 2128 | 90.1 | 81.8 | 8.3 | 79.2 |
4 | DEAC | 65.4 | 26 | 17 | 9 | 2278 | 2109 | 87.6 | 81.1 | 6.5 | 74.5 |
5 | Alba Fehervar | 61.5 | 26 | 16 | 10 | 2194 | 2109 | 84.4 | 81.1 | 3.3 | 63.4 |
6 | Atomeromu SE | 57.7 | 26 | 15 | 11 | 2163 | 2061 | 83.2 | 79.3 | 3.9 | 66.2 |
7 | Egis Kormend | 53.9 | 26 | 14 | 12 | 2132 | 2106 | 82.0 | 81.0 | 1.0 | 54.3 |
8 | Sopron KC | 50.0 | 26 | 13 | 13 | 2199 | 2194 | 84.6 | 84.4 | 0.2 | 50.8 |
9 | Kaposvari KK | 42.3 | 26 | 11 | 15 | 2010 | 2069 | 77.3 | 79.6 | -2.3 | 40.1 |
10 | PVSK-Veolia | 42.3 | 26 | 11 | 15 | 2136 | 2207 | 82.2 | 84.9 | -2.7 | 38.8 |
11 | Ose Lions | 38.5 | 26 | 10 | 16 | 2169 | 2218 | 83.4 | 85.3 | -1.9 | 42.3 |
12 | KTE Duna Aszfalt | 38.5 | 26 | 10 | 16 | 2086 | 2156 | 80.2 | 82.9 | -2.7 | 38.7 |
13 | Zalakeramia ZTE KK | 23.1 | 26 | 6 | 20 | 2127 | 2343 | 81.8 | 90.1 | -8.3 | 20.7 |
14 | Jaszberenyi KSE | 7.7 | 26 | 2 | 24 | 1950 | 2575 | 75.0 | 99.0 | -24.0 | 2.0 |
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.