France - NM 1 basketball (FRA-3)

Standings for 2017-2018 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Alliance Sport Alsace Alliance Sport Alsace 91.2 34 31 3 2963 2462 87.1 72.4 14.7 92.9
2 Saint-Vallier Saint-Vallier 76.5 34 26 8 2812 2402 82.7 70.6 12.1 90.0
3 Saint-Quentin Saint-Quentin 70.6 34 24 10 2723 2453 80.1 72.1 8.0 81.0
4 Rueil Rueil 70.6 34 24 10 2816 2655 82.8 78.1 4.7 69.4
5 Chartres Chartres 67.7 34 23 11 2976 2764 87.5 81.3 6.2 73.7
6 Brissac Brissac 52.9 34 18 16 2775 2674 81.6 78.6 3.0 62.6
7 Lorient Lorient 50.0 34 17 17 2625 2588 77.2 76.1 1.1 54.9
8 SOM Boulogne SOM Boulogne 50.0 34 17 17 2618 2632 77.0 77.4 -0.4 48.1
9 Challans Challans 50.0 34 17 17 2656 2747 78.1 80.8 -2.7 38.5
10 Souffelweyersheim Souffelweyersheim 47.1 34 16 18 2685 2613 79.0 76.9 2.1 59.3
11 La Charité La Charité 47.1 34 16 18 2861 2839 84.1 83.5 0.6 52.7
12 Andrézieux-Bouthéon Andrézieux-Bouthéon 44.1 34 15 19 2741 2764 80.6 81.3 -0.7 47.1
13 Aubenas Aubenas 41.2 34 14 20 2463 2522 72.4 74.2 -1.8 41.8
14 Orchies Orchies 41.2 34 14 20 2581 2647 75.9 77.9 -2.0 41.3
15 Tarbes-Lourdes Tarbes-Lourdes 35.3 34 12 22 2470 2585 72.6 76.0 -3.4 34.7
16 Avignon Le Pontet Avignon Le Pontet 32.4 34 11 23 2678 2714 78.8 79.8 -1.0 45.4
17 Golbey-Epinal Golbey-Epinal 29.4 34 10 24 2537 2756 74.6 81.1 -6.5 24.0
18 Pôle France Pôle France 2.9 34 1 33 1978 3141 58.2 92.4 -34.2 0.2

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.