France - Betclic Elite
Standings
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France - Betclic Elite basketball (FRA-1)
Standings for 2006-2007 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 |
|
73.5 | 34 | 25 | 9 | 2825 | 2498 | 83.1 | 73.5 | 9.6 | 84.7 |
2 |
|
70.6 | 34 | 24 | 10 | 2942 | 2780 | 86.5 | 81.8 | 4.7 | 68.7 |
3 |
|
67.7 | 34 | 23 | 11 | 2684 | 2623 | 78.9 | 77.1 | 1.8 | 57.9 |
4 |
|
64.7 | 34 | 22 | 12 | 2753 | 2480 | 81.0 | 72.9 | 8.1 | 81.0 |
5 |
|
61.8 | 34 | 21 | 13 | 2752 | 2547 | 80.9 | 74.9 | 6.0 | 74.6 |
6 |
|
61.8 | 34 | 21 | 13 | 2527 | 2375 | 74.3 | 69.9 | 4.4 | 70.3 |
7 |
|
55.9 | 34 | 19 | 15 | 2424 | 2408 | 71.3 | 70.8 | 0.5 | 52.3 |
8 |
|
52.9 | 34 | 18 | 16 | 2747 | 2622 | 80.8 | 77.1 | 3.7 | 65.7 |
9 |
|
52.9 | 34 | 18 | 16 | 2624 | 2579 | 77.2 | 75.9 | 1.3 | 56.0 |
10 |
|
52.9 | 34 | 18 | 16 | 2642 | 2620 | 77.7 | 77.1 | 0.6 | 52.9 |
11 |
|
52.9 | 34 | 18 | 16 | 2569 | 2590 | 75.6 | 76.2 | -0.6 | 47.2 |
12 |
|
47.1 | 34 | 16 | 18 | 2637 | 2698 | 77.6 | 79.4 | -1.8 | 42.1 |
13 |
|
44.1 | 34 | 15 | 19 | 2402 | 2358 | 70.6 | 69.4 | 1.2 | 56.4 |
14 |
|
38.2 | 34 | 13 | 21 | 2453 | 2662 | 72.1 | 78.3 | -6.2 | 24.3 |
15 |
|
32.4 | 34 | 11 | 23 | 2606 | 2838 | 76.6 | 83.5 | -6.9 | 23.4 |
16 |
|
32.4 | 34 | 11 | 23 | 2744 | 2880 | 80.7 | 84.7 | -4.0 | 33.8 |
17 |
|
23.5 | 34 | 8 | 26 | 2294 | 2673 | 67.5 | 78.6 | -11.1 | 10.7 |
18 |
|
14.7 | 34 | 5 | 29 | 2361 | 2755 | 69.4 | 81.0 | -11.6 | 10.5 |
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.