France - NM1 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 CEP Lorient CEP 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 Vendée Challans Basket Vendée Challans Basket 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 SCABB SCABB 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 BC Orchies BC 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.