Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Egis Kormend | 73.5 | 34 | 25 | 9 | 2975 | 2703 | 87.5 | 79.5 | 8.0 | 79.1 |
2 | Falco Szombathely | 70.6 | 34 | 24 | 10 | 2814 | 2539 | 82.8 | 74.7 | 8.1 | 80.7 |
3 | Szolnoki Olajbanyasz | 67.7 | 34 | 23 | 11 | 2853 | 2682 | 83.9 | 78.9 | 5.0 | 70.3 |
4 | PVSK-Veolia | 55.9 | 34 | 19 | 15 | 2736 | 2654 | 80.5 | 78.1 | 2.4 | 60.4 |
5 | Jaszberenyi KSE | 52.9 | 34 | 18 | 16 | 2573 | 2657 | 75.7 | 78.1 | -2.4 | 39.0 |
6 | Atomeromu SE | 50.0 | 34 | 17 | 17 | 2897 | 2781 | 85.2 | 81.8 | 3.4 | 63.8 |
7 | DEAC | 50.0 | 34 | 17 | 17 | 2908 | 2946 | 85.5 | 86.6 | -1.1 | 45.5 |
8 | KTE Duna Aszfalt | 50.0 | 34 | 17 | 17 | 2707 | 2767 | 79.6 | 81.4 | -1.8 | 42.4 |
9 | Sopron KC | 47.1 | 34 | 16 | 18 | 2838 | 2844 | 83.5 | 83.6 | -0.1 | 49.3 |
10 | Alba Fehervar | 46.9 | 32 | 15 | 17 | 2518 | 2483 | 78.7 | 77.6 | 1.1 | 54.9 |
11 | Zalakeramia ZTE KK | 41.2 | 34 | 14 | 20 | 2857 | 2927 | 84.0 | 86.1 | -2.1 | 41.7 |
12 | Kaposvari KK | 40.6 | 32 | 13 | 19 | 2596 | 2605 | 81.1 | 81.4 | -0.3 | 48.8 |
13 | Naturtex-SZTE-Szedeak | 34.4 | 32 | 11 | 21 | 2377 | 2499 | 74.3 | 78.1 | -3.8 | 33.3 |
14 | TF Budapest | 15.6 | 32 | 5 | 27 | 2251 | 2813 | 70.3 | 87.9 | -17.6 | 4.3 |
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.