Hungary - A League
Standings
Hungary - A League basketball (HUN-1)
Standings for 2017-2018 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Szolnoki Olajbanyasz | 79.4 | 34 | 27 | 7 | 2837 | 2570 | 83.4 | 75.6 | 7.8 | 79.8 |
2 | Falco Szombathely | 70.6 | 34 | 24 | 10 | 3033 | 2745 | 89.2 | 80.7 | 8.5 | 80.0 |
3 | Alba Fehervar | 67.7 | 34 | 23 | 11 | 2749 | 2516 | 80.9 | 74.0 | 6.9 | 77.4 |
4 | Egis Kormend | 58.8 | 34 | 20 | 14 | 2740 | 2704 | 80.6 | 79.5 | 1.1 | 54.6 |
5 | PVSK-Veolia | 55.9 | 34 | 19 | 15 | 2746 | 2760 | 80.8 | 81.2 | -0.4 | 48.2 |
6 | Zalakeramia ZTE KK | 52.9 | 34 | 18 | 16 | 2827 | 2749 | 83.1 | 80.9 | 2.2 | 59.6 |
7 | Atomeromu SE | 50.0 | 34 | 17 | 17 | 2715 | 2722 | 79.9 | 80.1 | -0.2 | 49.1 |
8 | KTE Duna Aszfalt | 50.0 | 34 | 17 | 17 | 2631 | 2664 | 77.4 | 78.4 | -1.0 | 45.7 |
9 | Kaposvari KK | 47.1 | 34 | 16 | 18 | 2728 | 2755 | 80.2 | 81.0 | -0.8 | 46.6 |
10 | DEAC | 37.5 | 32 | 12 | 20 | 2569 | 2703 | 80.3 | 84.5 | -4.2 | 33.0 |
11 | Jaszberenyi KSE | 37.5 | 32 | 12 | 20 | 2457 | 2588 | 76.8 | 80.9 | -4.1 | 32.7 |
12 | SZTE-Szedeák | 35.3 | 34 | 12 | 22 | 2583 | 2652 | 76.0 | 78.0 | -2.0 | 40.9 |
13 | Sopron KC | 28.1 | 32 | 9 | 23 | 2462 | 2691 | 76.9 | 84.1 | -7.2 | 22.5 |
14 | MAFC Budapest | 25.0 | 32 | 8 | 24 | 2399 | 2657 | 75.0 | 83.0 | -8.0 | 19.5 |
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.