France - NM1
Standings
France - NM1 basketball (FRA-3)
Standings for 2003-2004 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Quimper | 93.3 | 30 | 28 | 2 | 2461 | 2124 | 82.0 | 70.8 | 11.2 | 88.6 |
2 | Nanterre | 72.4 | 29 | 21 | 8 | 2505 | 2238 | 86.4 | 77.2 | 9.2 | 82.7 |
3 | Charleville-Méz. | 65.5 | 29 | 19 | 10 | 2379 | 2167 | 82.0 | 74.7 | 7.3 | 78.6 |
4 | Valence-Condom | 60.7 | 28 | 17 | 11 | 2503 | 2344 | 89.4 | 83.7 | 5.7 | 71.4 |
5 | Saint-Chamond | 58.6 | 29 | 17 | 12 | 2364 | 2349 | 81.5 | 81.0 | 0.5 | 52.2 |
6 | Levallois MBC | 57.1 | 28 | 16 | 12 | 2288 | 2060 | 81.7 | 73.6 | 8.1 | 81.2 |
7 | Saint-Vallier | 55.2 | 29 | 16 | 13 | 2292 | 2313 | 79.0 | 79.8 | -0.8 | 46.8 |
8 | Le Portel | 55.2 | 29 | 16 | 13 | 2471 | 2507 | 85.2 | 86.4 | -1.2 | 45.0 |
9 | Boulazac | 53.3 | 30 | 16 | 14 | 2625 | 2564 | 87.5 | 85.5 | 2.0 | 58.1 |
10 | Feurs | 50.0 | 30 | 15 | 15 | 2401 | 2365 | 80.0 | 78.8 | 1.2 | 55.2 |
11 | Autun | 46.7 | 30 | 14 | 16 | 2386 | 2380 | 79.5 | 79.3 | 0.2 | 50.9 |
12 | Poitiers | 46.7 | 30 | 14 | 16 | 2338 | 2347 | 77.9 | 78.2 | -0.3 | 48.7 |
13 | Denek Bat Urcuit | 33.3 | 30 | 10 | 20 | 2265 | 2414 | 75.5 | 80.5 | -5.0 | 29.2 |
14 | Longwy | 33.3 | 30 | 10 | 20 | 2308 | 2600 | 76.9 | 86.7 | -9.8 | 16.0 |
15 | Pôle France | 14.3 | 28 | 4 | 24 | 2139 | 2437 | 76.4 | 87.0 | -10.6 | 14.0 |
16 | Rodez | 3.5 | 29 | 1 | 28 | 2146 | 2662 | 74.0 | 91.8 | -17.8 | 4.8 |
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.