Romania - Division A
Standings
Romania - Division A basketball (ROM-1)
Standings for 2013-2014 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | CSU Asesoft | 80.8 | 26 | 21 | 5 | 2224 | 1827 | 85.5 | 70.3 | 15.2 | 93.9 |
2 | CSM CSU Oradea | 73.1 | 26 | 19 | 7 | 2169 | 1838 | 83.4 | 70.7 | 12.7 | 90.9 |
3 | CSU Sibiu | 73.1 | 26 | 19 | 7 | 2145 | 1836 | 82.5 | 70.6 | 11.9 | 89.7 |
4 | Mures | 73.1 | 26 | 19 | 7 | 2306 | 2017 | 88.7 | 77.6 | 11.1 | 86.6 |
5 | U-BT Cluj Napoca | 65.4 | 26 | 17 | 9 | 2208 | 2019 | 84.9 | 77.7 | 7.2 | 77.6 |
6 | SCMU Craiova | 61.5 | 26 | 16 | 10 | 2118 | 1888 | 81.5 | 72.6 | 8.9 | 83.2 |
7 | FC Arges Pitesti | 61.5 | 26 | 16 | 10 | 2083 | 1918 | 80.1 | 73.8 | 6.3 | 75.9 |
8 | CSM Targu Jiu | 57.7 | 26 | 15 | 11 | 2169 | 1987 | 83.4 | 76.4 | 7.0 | 77.2 |
9 | Steaua Bucuresti | 50.0 | 26 | 13 | 13 | 2012 | 1886 | 77.4 | 72.5 | 4.9 | 71.1 |
10 | Timisoara | 46.2 | 26 | 12 | 14 | 2189 | 2060 | 84.2 | 79.2 | 5.0 | 69.9 |
11 | CS Municipal Medias | 34.6 | 26 | 9 | 17 | 2096 | 2047 | 80.6 | 78.7 | 1.9 | 58.2 |
12 | Timba Timisoara | 11.5 | 26 | 3 | 23 | 1794 | 2299 | 69.0 | 88.4 | -19.4 | 3.1 |
13 | Concordia Chiajna | 7.7 | 26 | 2 | 24 | 1763 | 2481 | 67.8 | 95.4 | -27.6 | 0.9 |
14 | Farul Constanta | 3.9 | 26 | 1 | 25 | 1407 | 2580 | 54.1 | 99.2 | -45.1 | 0.0 |
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.