France - Betclic Elite
Standings
France - Betclic Elite basketball (FRA-1)
Standings for 1996-1997 season
| Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
80.0 | 30 | 24 | 6 | 2556 | 2264 | 85.2 | 75.5 | 9.7 | 84.4 |
| 2 |
|
76.7 | 30 | 23 | 7 | 2501 | 2253 | 83.4 | 75.1 | 8.3 | 81.0 |
| 3 |
|
76.7 | 30 | 23 | 7 | 2404 | 2158 | 80.1 | 71.9 | 8.2 | 81.8 |
| 4 |
|
70.0 | 30 | 21 | 9 | 2446 | 2292 | 81.5 | 76.4 | 5.1 | 71.2 |
| 5 |
|
70.0 | 30 | 21 | 9 | 2399 | 2263 | 80.0 | 75.4 | 4.6 | 69.2 |
| 6 |
|
50.0 | 30 | 15 | 15 | 2291 | 2353 | 76.4 | 78.4 | -2.0 | 40.8 |
| 7 |
|
50.0 | 30 | 15 | 15 | 2374 | 2230 | 79.1 | 74.3 | 4.8 | 70.5 |
| 8 |
|
50.0 | 30 | 15 | 15 | 2267 | 2268 | 75.6 | 75.6 | 0.0 | 49.8 |
| 9 |
|
46.7 | 30 | 14 | 16 | 2320 | 2411 | 77.3 | 80.4 | -3.1 | 36.9 |
| 10 |
|
43.3 | 30 | 13 | 17 | 2303 | 2367 | 76.8 | 78.9 | -2.1 | 40.6 |
| 11 |
|
36.7 | 30 | 11 | 19 | 2247 | 2389 | 74.9 | 79.6 | -4.7 | 29.9 |
| 12 |
|
33.3 | 30 | 10 | 20 | 2389 | 2479 | 79.6 | 82.6 | -3.0 | 37.4 |
| 13 |
|
33.3 | 30 | 10 | 20 | 2274 | 2416 | 75.8 | 80.5 | -4.7 | 30.1 |
| 14 |
|
30.0 | 30 | 9 | 21 | 2338 | 2426 | 77.9 | 80.9 | -3.0 | 37.4 |
| 15 |
|
30.0 | 30 | 9 | 21 | 2093 | 2314 | 69.8 | 77.1 | -7.3 | 19.8 |
| 16 |
|
23.3 | 30 | 7 | 23 | 2205 | 2524 | 73.5 | 84.1 | -10.6 | 13.2 |
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.