France - Coupe de France (W) basketball (CdF)

Standings for 2020-2021 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 Lattes Montpellier Lattes Montpellier 100.0 5 5 0 417 350 83.4 70.0 13.4 92.0
2 Charleville-Mézières Charleville-Mézières 75.0 4 3 1 329 266 82.3 66.5 15.8 95.1
3 Champagne Basket Champagne Basket 66.7 3 2 1 164 123 54.7 41.0 13.7 98.2
4 Charnay Charnay 66.7 3 2 1 228 213 76.0 71.0 5.0 72.0
5 Landerneau Landerneau 66.7 3 2 1 215 213 71.7 71.0 0.7 53.2
6 Tarbes Tarbes 50.0 2 1 1 78 73 39.0 36.5 2.5 71.5
7 Bourges Bourges 50.0 2 1 1 153 146 76.5 73.0 3.5 65.7
8 Toulouse Toulouse 50.0 2 1 1 84 82 42.0 41.0 1.0 58.3
9 Villeneuve d'Ascq Villeneuve d'Ascq 50.0 2 1 1 142 154 71.0 77.0 -6.0 24.4
10 Montbrison Montbrison 50.0 2 1 1 91 99 45.5 49.5 -4.0 23.6
11 Nantes Nantes 33.3 3 1 2 158 182 52.7 60.7 -8.0 12.3
12 Aulnoye Aulnoye 0.0 1 0 1 69 71 69.0 71.0 -2.0 40.2
13 Chartres Chartres 0.0 1 0 1 81 86 81.0 86.0 -5.0 30.3
14 Basket Landes Basket Landes 0.0 1 0 1 73 86 73.0 86.0 -13.0 9.3
15 Lyon Lyon 0.0 1 0 1 68 83 68.0 83.0 -15.0 5.9
16 Roche Vendée Roche Vendée 0.0 1 0 1 64 85 64.0 85.0 -21.0 1.9
17 La Tronche Meylan La Tronche Meylan 0.0 1 0 1 62 84 62.0 84.0 -22.0 1.4
18 Saint-Amand Saint-Amand 0.0 1 0 1 51 79 51.0 79.0 -28.0 0.2
19 Illkirch-Graffenstaden Illkirch-Graffenstaden 0.0 1 0 1 56 88 56.0 88.0 -32.0 0.2
20 Angers Angers 0.0 1 0 1 0 20 0.0 20.0 -20.0 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.