Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2023-2024 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Falco Szombathely | 83.3 | 24 | 20 | 4 | 2262 | 1829 | 94.3 | 76.2 | 18.1 | 95.1 |
2 | Alba Fehervar | 80.8 | 26 | 21 | 5 | 2444 | 2192 | 94.0 | 84.3 | 9.7 | 82.0 |
3 | Szolnoki Olajbanyasz | 60.9 | 23 | 14 | 9 | 1862 | 1893 | 81.0 | 82.3 | -1.3 | 44.3 |
4 | Sopron KC | 52.4 | 21 | 11 | 10 | 1686 | 1718 | 80.3 | 81.8 | -1.5 | 43.5 |
5 | Zalakeramia ZTE KK | 52.0 | 25 | 13 | 12 | 2110 | 2114 | 84.4 | 84.6 | -0.2 | 49.3 |
6 | NKA Pecs | 45.8 | 24 | 11 | 13 | 1993 | 1980 | 83.0 | 82.5 | 0.5 | 52.3 |
7 | Budapesti Honved | 44.0 | 25 | 11 | 14 | 1963 | 2007 | 78.5 | 80.3 | -1.8 | 42.4 |
8 | Ose Lions | 43.5 | 23 | 10 | 13 | 1942 | 1951 | 84.4 | 84.8 | -0.4 | 48.4 |
9 | DEAC | 42.9 | 21 | 9 | 12 | 1565 | 1641 | 74.5 | 78.1 | -3.6 | 34.1 |
10 | Naturtex-SZTE-Szedeak | 40.9 | 22 | 9 | 13 | 1932 | 2004 | 87.8 | 91.1 | -3.3 | 37.5 |
11 | Egis Kormend | 40.0 | 25 | 10 | 15 | 2030 | 2130 | 81.2 | 85.2 | -4.0 | 33.9 |
12 | Atomeromu SE | 40.0 | 25 | 10 | 15 | 2003 | 2122 | 80.1 | 84.9 | -4.8 | 30.9 |
13 | KTE Duna Aszfalt | 36.0 | 25 | 9 | 16 | 2013 | 2100 | 80.5 | 84.0 | -3.5 | 35.7 |
14 | Kaposvari KK | 36.0 | 25 | 9 | 16 | 2061 | 2185 | 82.4 | 87.4 | -5.0 | 30.7 |
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.