France - Betclic Elite
Standings
France - Betclic Elite basketball (FRA-1)
Standings for 1995-1996 season
| Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
90.0 | 30 | 27 | 3 | 2602 | 2284 | 86.7 | 76.1 | 10.6 | 86.0 |
| 2 |
|
83.3 | 30 | 25 | 5 | 2504 | 2125 | 83.5 | 70.8 | 12.7 | 90.7 |
| 3 |
|
83.3 | 30 | 25 | 5 | 2612 | 2329 | 87.1 | 77.6 | 9.5 | 83.1 |
| 4 |
|
70.0 | 30 | 21 | 9 | 2674 | 2528 | 89.1 | 84.3 | 4.8 | 68.6 |
| 5 |
|
56.7 | 30 | 17 | 13 | 2614 | 2515 | 87.1 | 83.8 | 3.3 | 63.1 |
| 6 |
|
53.3 | 30 | 16 | 14 | 2517 | 2454 | 83.9 | 81.8 | 2.1 | 58.7 |
| 7 |
|
53.3 | 30 | 16 | 14 | 2582 | 2618 | 86.1 | 87.3 | -1.2 | 45.2 |
| 8 |
|
50.0 | 30 | 15 | 15 | 2444 | 2445 | 81.5 | 81.5 | 0.0 | 49.9 |
| 9 |
|
46.7 | 30 | 14 | 16 | 2417 | 2545 | 80.6 | 84.8 | -4.2 | 32.8 |
| 10 |
|
40.0 | 30 | 12 | 18 | 2389 | 2485 | 79.6 | 82.8 | -3.2 | 36.6 |
| 11 |
|
33.3 | 30 | 10 | 20 | 2502 | 2646 | 83.4 | 88.2 | -4.8 | 31.5 |
| 12 |
|
33.3 | 30 | 10 | 20 | 2411 | 2519 | 80.4 | 84.0 | -3.6 | 35.2 |
| 13 |
|
30.0 | 30 | 9 | 21 | 2386 | 2515 | 79.5 | 83.8 | -4.3 | 32.5 |
| 14 |
|
30.0 | 30 | 9 | 21 | 2625 | 2805 | 87.5 | 93.5 | -6.0 | 28.4 |
| 15 |
|
26.7 | 30 | 8 | 22 | 2386 | 2588 | 79.5 | 86.3 | -6.8 | 24.4 |
| 16 |
|
20.0 | 30 | 6 | 24 | 2210 | 2474 | 73.7 | 82.5 | -8.8 | 17.2 |
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.