France - Betclic Elite
Standings
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France - Betclic Elite basketball (FRA-1)
Standings for 1997-1998 season
| Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
80.0 | 30 | 24 | 6 | 2276 | 1937 | 75.9 | 64.6 | 11.3 | 90.4 |
| 2 |
|
73.3 | 30 | 22 | 8 | 2376 | 2090 | 79.2 | 69.7 | 9.5 | 85.6 |
| 3 |
|
66.7 | 30 | 20 | 10 | 2241 | 2031 | 74.7 | 67.7 | 7.0 | 79.7 |
| 4 |
|
63.3 | 30 | 19 | 11 | 2179 | 2093 | 72.6 | 69.8 | 2.8 | 63.6 |
| 5 |
|
63.3 | 30 | 19 | 11 | 2142 | 1931 | 71.4 | 64.4 | 7.0 | 80.9 |
| 6 |
|
63.3 | 30 | 19 | 11 | 2289 | 2138 | 76.3 | 71.3 | 5.0 | 72.1 |
| 7 |
|
60.0 | 30 | 18 | 12 | 2248 | 2130 | 74.9 | 71.0 | 3.9 | 67.9 |
| 8 |
|
53.3 | 30 | 16 | 14 | 2150 | 2213 | 71.7 | 73.8 | -2.1 | 40.1 |
| 9 |
|
46.7 | 30 | 14 | 16 | 2285 | 2233 | 76.2 | 74.4 | 1.8 | 57.9 |
| 10 |
|
46.7 | 30 | 14 | 16 | 2283 | 2410 | 76.1 | 80.3 | -4.2 | 32.0 |
| 11 |
|
40.0 | 30 | 12 | 18 | 2264 | 2379 | 75.5 | 79.3 | -3.8 | 33.4 |
| 12 |
|
40.0 | 30 | 12 | 18 | 2110 | 2289 | 70.3 | 76.3 | -6.0 | 24.4 |
| 13 |
|
30.0 | 30 | 9 | 21 | 2108 | 2293 | 70.3 | 76.4 | -6.1 | 23.7 |
| 14 |
|
26.7 | 30 | 8 | 22 | 2046 | 2401 | 68.2 | 80.0 | -11.8 | 9.7 |
| 15 |
|
26.7 | 30 | 8 | 22 | 2094 | 2350 | 69.8 | 78.3 | -8.5 | 16.7 |
| 16 |
|
20.0 | 30 | 6 | 24 | 2293 | 2466 | 76.4 | 82.2 | -5.8 | 26.7 |
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.