France - Betclic Elite
Standings
France - Betclic Elite basketball (FRA-1)
Standings for 1987-1988 season
| Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
86.7 | 30 | 26 | 4 | 2958 | 2591 | 98.6 | 86.4 | 12.2 | 86.3 |
| 2 |
|
73.3 | 30 | 22 | 8 | 2848 | 2653 | 94.9 | 88.4 | 6.5 | 72.8 |
| 3 |
|
70.0 | 30 | 21 | 9 | 2467 | 2242 | 82.2 | 74.7 | 7.5 | 79.1 |
| 4 |
|
70.0 | 30 | 21 | 9 | 2738 | 2583 | 91.3 | 86.1 | 5.2 | 69.2 |
| 5 |
|
70.0 | 30 | 21 | 9 | 2792 | 2536 | 93.1 | 84.5 | 8.6 | 79.2 |
| 6 |
|
66.7 | 30 | 20 | 10 | 2616 | 2585 | 87.2 | 86.2 | 1.0 | 54.1 |
| 7 |
|
60.0 | 30 | 18 | 12 | 2697 | 2583 | 89.9 | 86.1 | 3.8 | 64.6 |
| 8 |
|
50.0 | 30 | 15 | 15 | 2672 | 2633 | 89.1 | 87.8 | 1.3 | 55.1 |
| 9 |
|
50.0 | 30 | 15 | 15 | 2678 | 2694 | 89.3 | 89.8 | -0.5 | 47.9 |
| 10 |
|
40.0 | 30 | 12 | 18 | 2470 | 2552 | 82.3 | 85.1 | -2.8 | 38.8 |
| 11 |
|
40.0 | 30 | 12 | 18 | 2465 | 2576 | 82.2 | 85.9 | -3.7 | 35.1 |
| 12 |
|
30.0 | 30 | 9 | 21 | 2615 | 2685 | 87.2 | 89.5 | -2.3 | 40.9 |
| 13 |
|
26.7 | 30 | 8 | 22 | 2455 | 2674 | 81.8 | 89.1 | -7.3 | 23.4 |
| 14 |
|
23.3 | 30 | 7 | 23 | 2415 | 2708 | 80.5 | 90.3 | -9.8 | 16.9 |
| 15 |
|
23.3 | 30 | 7 | 23 | 2615 | 2849 | 87.2 | 95.0 | -7.8 | 23.3 |
| 16 |
|
20.0 | 30 | 6 | 24 | 2530 | 2887 | 84.3 | 96.2 | -11.9 | 13.8 |
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.