France - Betclic Elite
Standings
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France - Betclic Elite basketball (FRA-1)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
79.4 | 34 | 27 | 7 | 2833 | 2584 | 83.3 | 76.0 | 7.3 | 78.2 |
2 |
|
70.6 | 34 | 24 | 10 | 2828 | 2586 | 83.2 | 76.1 | 7.1 | 77.6 |
3 |
|
67.7 | 34 | 23 | 11 | 2761 | 2546 | 81.2 | 74.9 | 6.3 | 75.5 |
4 |
|
67.7 | 34 | 23 | 11 | 2870 | 2684 | 84.4 | 78.9 | 5.5 | 71.7 |
5 |
|
61.8 | 34 | 21 | 13 | 2692 | 2614 | 79.2 | 76.9 | 2.3 | 60.1 |
6 |
|
58.8 | 34 | 20 | 14 | 2865 | 2778 | 84.3 | 81.7 | 2.6 | 60.6 |
7 |
|
58.8 | 34 | 20 | 14 | 2765 | 2709 | 81.3 | 79.7 | 1.6 | 57.1 |
8 |
|
58.8 | 34 | 20 | 14 | 2782 | 2637 | 81.8 | 77.6 | 4.2 | 67.8 |
9 |
|
55.9 | 34 | 19 | 15 | 2793 | 2778 | 82.1 | 81.7 | 0.4 | 51.9 |
10 |
|
50.0 | 34 | 17 | 17 | 2708 | 2694 | 79.6 | 79.2 | 0.4 | 51.8 |
11 |
|
47.1 | 34 | 16 | 18 | 2775 | 2815 | 81.6 | 82.8 | -1.2 | 45.0 |
12 |
|
41.2 | 34 | 14 | 20 | 2692 | 2759 | 79.2 | 81.1 | -1.9 | 41.5 |
13 |
|
38.2 | 34 | 13 | 21 | 2814 | 2931 | 82.8 | 86.2 | -3.4 | 36.2 |
14 |
|
35.3 | 34 | 12 | 22 | 2902 | 2869 | 85.4 | 84.4 | 1.0 | 54.0 |
15 |
|
32.4 | 34 | 11 | 23 | 2651 | 2856 | 78.0 | 84.0 | -6.0 | 26.2 |
16 |
|
29.4 | 34 | 10 | 24 | 2647 | 2889 | 77.9 | 85.0 | -7.1 | 22.8 |
17 |
|
26.5 | 34 | 9 | 25 | 2591 | 2913 | 76.2 | 85.7 | -9.5 | 16.4 |
18 |
|
20.6 | 34 | 7 | 27 | 2521 | 2848 | 74.1 | 83.8 | -9.7 | 15.5 |
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.