France - Betclic Elite
Standings
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France - Betclic Elite basketball (FRA-1)
Standings for 2003-2004 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
79.4 | 34 | 27 | 7 | 2785 | 2467 | 81.9 | 72.6 | 9.3 | 84.4 |
2 |
|
76.5 | 34 | 26 | 8 | 2985 | 2628 | 87.8 | 77.3 | 10.5 | 85.5 |
3 |
|
73.5 | 34 | 25 | 9 | 2685 | 2555 | 79.0 | 75.1 | 3.9 | 66.6 |
4 |
|
64.7 | 34 | 22 | 12 | 2681 | 2655 | 78.9 | 78.1 | 0.8 | 53.4 |
5 |
|
61.8 | 34 | 21 | 13 | 2730 | 2547 | 80.3 | 74.9 | 5.4 | 72.4 |
6 |
|
58.8 | 34 | 20 | 14 | 2646 | 2612 | 77.8 | 76.8 | 1.0 | 54.5 |
7 |
|
58.8 | 34 | 20 | 14 | 2991 | 2980 | 88.0 | 87.6 | 0.4 | 51.3 |
8 |
|
52.9 | 34 | 18 | 16 | 2870 | 2782 | 84.4 | 81.8 | 2.6 | 60.7 |
9 |
|
50.0 | 34 | 17 | 17 | 2831 | 2776 | 83.3 | 81.6 | 1.7 | 56.8 |
10 |
|
47.1 | 34 | 16 | 18 | 2823 | 2909 | 83.0 | 85.6 | -2.6 | 39.7 |
11 |
|
41.2 | 34 | 14 | 20 | 2582 | 2548 | 75.9 | 74.9 | 1.0 | 54.6 |
12 |
|
41.2 | 34 | 14 | 20 | 2798 | 2915 | 82.3 | 85.7 | -3.4 | 36.1 |
13 |
|
38.2 | 34 | 13 | 21 | 2604 | 2562 | 76.6 | 75.4 | 1.2 | 55.6 |
14 |
|
38.2 | 34 | 13 | 21 | 2730 | 2848 | 80.3 | 83.8 | -3.5 | 35.7 |
15 |
|
38.2 | 34 | 13 | 21 | 2645 | 2832 | 77.8 | 83.3 | -5.5 | 27.9 |
16 |
|
32.4 | 34 | 11 | 23 | 2762 | 2915 | 81.2 | 85.7 | -4.5 | 32.1 |
17 |
|
26.5 | 34 | 9 | 25 | 2553 | 2894 | 75.1 | 85.1 | -10.0 | 14.9 |
18 |
|
20.6 | 34 | 7 | 27 | 2531 | 2807 | 74.4 | 82.6 | -8.2 | 19.2 |
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.