France - Betclic Elite
Standings
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France - Betclic Elite basketball (FRA-1)
Standings for 2017-2018 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
73.5 | 34 | 25 | 9 | 2925 | 2647 | 86.0 | 77.9 | 8.1 | 80.0 |
2 |
|
70.6 | 34 | 24 | 10 | 2849 | 2605 | 83.8 | 76.6 | 7.2 | 77.7 |
3 |
|
61.8 | 34 | 21 | 13 | 2733 | 2541 | 80.4 | 74.7 | 5.7 | 73.4 |
4 |
|
58.8 | 34 | 20 | 14 | 2657 | 2630 | 78.1 | 77.4 | 0.7 | 53.5 |
5 |
|
58.8 | 34 | 20 | 14 | 2788 | 2679 | 82.0 | 78.8 | 3.2 | 63.5 |
6 |
|
55.9 | 34 | 19 | 15 | 2745 | 2677 | 80.7 | 78.7 | 2.0 | 58.6 |
7 |
|
55.9 | 34 | 19 | 15 | 2763 | 2748 | 81.3 | 80.8 | 0.5 | 51.9 |
8 |
|
52.9 | 34 | 18 | 16 | 2733 | 2710 | 80.4 | 79.7 | 0.7 | 52.9 |
9 |
|
50.0 | 34 | 17 | 17 | 2793 | 2739 | 82.1 | 80.6 | 1.5 | 56.7 |
10 |
|
47.1 | 34 | 16 | 18 | 2694 | 2745 | 79.2 | 80.7 | -1.5 | 43.5 |
11 |
|
47.1 | 34 | 16 | 18 | 2527 | 2553 | 74.3 | 75.1 | -0.8 | 46.4 |
12 |
|
44.1 | 34 | 15 | 19 | 2795 | 2793 | 82.2 | 82.1 | 0.1 | 50.2 |
13 |
|
44.1 | 34 | 15 | 19 | 2595 | 2611 | 76.3 | 76.8 | -0.5 | 47.9 |
14 |
|
44.1 | 34 | 15 | 19 | 2754 | 2850 | 81.0 | 83.8 | -2.8 | 38.3 |
15 |
|
41.2 | 34 | 14 | 20 | 2447 | 2572 | 72.0 | 75.6 | -3.6 | 33.3 |
16 |
|
38.2 | 34 | 13 | 21 | 2653 | 2782 | 78.0 | 81.8 | -3.8 | 34.1 |
17 |
|
35.3 | 34 | 12 | 22 | 2639 | 2887 | 77.6 | 84.9 | -7.3 | 22.3 |
18 |
|
17.7 | 34 | 6 | 28 | 2523 | 2844 | 74.2 | 83.6 | -9.4 | 15.9 |
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.