France - Betclic Elite basketball (FRA-1)

Standings for 2018-2019 season

Rk Team % Victory Gp Gw GL Pts+ Pts- Pts+ /g Pts- /g Diff Expected
Winning %
1 LDLC ASVEL LDLC ASVEL 79.4 34 27 7 2833 2584 83.3 76.0 7.3 78.2
2 AS Monaco AS Monaco 70.6 34 24 10 2828 2586 83.2 76.1 7.1 77.6
3 Dijon Dijon 67.7 34 23 11 2761 2546 81.2 74.9 6.3 75.5
4 Nanterre Nanterre 67.7 34 23 11 2870 2684 84.4 78.9 5.5 71.7
5 Pau-Lacq-Orthez Pau-Lacq-Orthez 61.8 34 21 13 2692 2614 79.2 76.9 2.3 60.1
6 Limoges Limoges 58.8 34 20 14 2865 2778 84.3 81.7 2.6 60.6
7 Strasbourg Strasbourg 58.8 34 20 14 2765 2709 81.3 79.7 1.6 57.1
8 Le Mans Le Mans 58.8 34 20 14 2782 2637 81.8 77.6 4.2 67.8
9 Bourg-en-Bresse Bourg-en-Bresse 55.9 34 19 15 2793 2778 82.1 81.7 0.4 51.9
10 Boulazac Boulazac 50.0 34 17 17 2708 2694 79.6 79.2 0.4 51.8
11 Gravelines Gravelines 47.1 34 16 18 2775 2815 81.6 82.8 -1.2 45.0
12 Boulogne-Levallois Boulogne-Levallois 41.2 34 14 20 2692 2759 79.2 81.1 -1.9 41.5
13 Champagne Basket Champagne Basket 38.2 34 13 21 2814 2931 82.8 86.2 -3.4 36.2
14 Chalon Chalon 35.3 34 12 22 2902 2869 85.4 84.4 1.0 54.0
15 Cholet Basket Cholet Basket 32.4 34 11 23 2651 2856 78.0 84.0 -6.0 26.2
16 Le Portel Le Portel 29.4 34 10 24 2647 2889 77.9 85.0 -7.1 22.8
17 Fos-sur-Mer Fos-sur-Mer 26.5 34 9 25 2591 2913 76.2 85.7 -9.5 16.4
18 Antibes Antibes 20.6 34 7 27 2521 2848 74.1 83.8 -9.7 15.5

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.