France - Betclic Elite
Standings
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France - Betclic Elite basketball (FRA-1)
Standings for 2015-2016 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
79.4 | 34 | 27 | 7 | 2746 | 2540 | 80.8 | 74.7 | 6.1 | 74.7 |
2 |
|
73.5 | 34 | 25 | 9 | 2677 | 2504 | 78.7 | 73.6 | 5.1 | 71.7 |
3 |
|
67.7 | 34 | 23 | 11 | 2617 | 2495 | 77.0 | 73.4 | 3.6 | 66.0 |
4 |
|
64.7 | 34 | 22 | 12 | 2985 | 2807 | 87.8 | 82.6 | 5.2 | 70.2 |
5 |
|
61.8 | 34 | 21 | 13 | 2503 | 2339 | 73.6 | 68.8 | 4.8 | 72.0 |
6 |
|
61.8 | 34 | 21 | 13 | 2564 | 2424 | 75.4 | 71.3 | 4.1 | 68.6 |
7 |
|
61.8 | 34 | 21 | 13 | 2656 | 2601 | 78.1 | 76.5 | 1.6 | 57.2 |
8 |
|
61.8 | 34 | 21 | 13 | 2708 | 2546 | 79.6 | 74.9 | 4.7 | 70.2 |
9 |
|
58.8 | 34 | 20 | 14 | 2484 | 2356 | 73.1 | 69.3 | 3.8 | 67.6 |
10 |
|
52.9 | 34 | 18 | 16 | 2575 | 2461 | 75.7 | 72.4 | 3.3 | 65.2 |
11 |
|
50.0 | 34 | 17 | 17 | 2501 | 2586 | 73.6 | 76.1 | -2.5 | 38.6 |
12 |
|
41.2 | 34 | 14 | 20 | 2524 | 2609 | 74.2 | 76.7 | -2.5 | 38.7 |
13 |
|
41.2 | 34 | 14 | 20 | 2692 | 2763 | 79.2 | 81.3 | -2.1 | 41.0 |
14 |
|
35.3 | 34 | 12 | 22 | 2480 | 2620 | 72.9 | 77.1 | -4.2 | 31.8 |
15 |
|
29.4 | 34 | 10 | 24 | 2565 | 2762 | 75.4 | 81.2 | -5.8 | 26.3 |
16 |
|
29.4 | 34 | 10 | 24 | 2686 | 2776 | 79.0 | 81.6 | -2.6 | 38.7 |
17 |
|
17.7 | 34 | 6 | 28 | 2523 | 2855 | 74.2 | 84.0 | -9.8 | 15.2 |
18 |
|
11.8 | 34 | 4 | 30 | 2441 | 2883 | 71.8 | 84.8 | -13.0 | 9.0 |
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.