France - NM 1 Playoffs
Standings
France - NM 1 Playoffs basketball (FRA-3 PO)
Standings for 2018-2019 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Saint-Quentin | 75.0 | 8 | 6 | 2 | 596 | 582 | 74.5 | 72.8 | 1.7 | 58.2 |
2 | Le Havre | 62.5 | 8 | 5 | 3 | 573 | 524 | 71.6 | 65.5 | 6.1 | 77.6 |
3 | SOM Boulogne | 60.0 | 5 | 3 | 2 | 401 | 354 | 80.2 | 70.8 | 9.4 | 85.0 |
4 | Saint-Vallier | 60.0 | 5 | 3 | 2 | 367 | 346 | 73.4 | 69.2 | 4.2 | 69.4 |
5 | Orchies | 50.0 | 2 | 1 | 1 | 151 | 146 | 75.5 | 73.0 | 2.5 | 61.5 |
6 | Challans | 50.0 | 2 | 1 | 1 | 163 | 169 | 81.5 | 84.5 | -3.0 | 37.7 |
7 | Rueil | 50.0 | 2 | 1 | 1 | 185 | 197 | 92.5 | 98.5 | -6.0 | 29.4 |
8 | Bordeaux | 50.0 | 2 | 1 | 1 | 149 | 161 | 74.5 | 80.5 | -6.0 | 25.4 |
9 | Stade Rochelais | 0.0 | 1 | 0 | 1 | 78 | 79 | 78.0 | 79.0 | -1.0 | 45.6 |
10 | Tours | 0.0 | 1 | 0 | 1 | 96 | 100 | 96.0 | 100.0 | -4.0 | 36.2 |
11 | Charleville-Méz. | 0.0 | 1 | 0 | 1 | 87 | 91 | 87.0 | 91.0 | -4.0 | 34.9 |
12 | Stade Toulousain BasketBall | 0.0 | 1 | 0 | 1 | 77 | 84 | 77.0 | 84.0 | -7.0 | 23.0 |
13 | Vitré | 0.0 | 1 | 0 | 1 | 66 | 75 | 66.0 | 75.0 | -9.0 | 14.5 |
14 | La Charité | 0.0 | 1 | 0 | 1 | 76 | 87 | 76.0 | 87.0 | -11.0 | 13.2 |
15 | Angers | 0.0 | 1 | 0 | 1 | 77 | 106 | 77.0 | 106.0 | -29.0 | 1.2 |
16 | Avignon Le Pontet | 0.0 | 1 | 0 | 1 | 46 | 87 | 46.0 | 87.0 | -41.0 | 0.0 |
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.