France - Pro B
Standings
France - Pro B basketball (FRA-2)
Standings for 1989-1990 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Le Mans | 82.1 | 28 | 23 | 5 | 2734 | 2382 | 97.6 | 85.1 | 12.5 | 87.2 |
2 | Dijon | 78.6 | 28 | 22 | 6 | 2708 | 2435 | 96.7 | 87.0 | 9.7 | 81.4 |
3 | Evreux | 75.0 | 28 | 21 | 7 | 2678 | 2409 | 95.6 | 86.0 | 9.6 | 81.3 |
4 | Levallois SCB | 71.4 | 28 | 20 | 8 | 2686 | 2556 | 95.9 | 91.3 | 4.6 | 66.6 |
5 | Cognac | 67.9 | 28 | 19 | 9 | 2652 | 2477 | 94.7 | 88.5 | 6.2 | 72.1 |
6 | Sceaux | 57.1 | 28 | 16 | 12 | 2561 | 2498 | 91.5 | 89.2 | 2.3 | 58.6 |
7 | Berck Rang du Fliers | 53.6 | 28 | 15 | 13 | 3008 | 2942 | 107.4 | 105.1 | 2.3 | 57.7 |
8 | Stade Rochelais | 50.0 | 28 | 14 | 14 | 2801 | 2787 | 100.0 | 99.5 | 0.5 | 51.7 |
9 | Rennes | 39.3 | 28 | 11 | 17 | 2566 | 2748 | 91.6 | 98.1 | -6.5 | 27.8 |
10 | Poissy | 35.7 | 28 | 10 | 18 | 2604 | 2732 | 93.0 | 97.6 | -4.6 | 33.9 |
11 | Spacer's de Toulouse | 35.7 | 28 | 10 | 18 | 2407 | 2657 | 86.0 | 94.9 | -8.9 | 20.2 |
12 | Voiron | 28.6 | 28 | 8 | 20 | 2715 | 2936 | 97.0 | 104.9 | -7.9 | 25.2 |
13 | Strasbourg | 28.6 | 28 | 8 | 20 | 2704 | 2889 | 96.6 | 103.2 | -6.6 | 28.5 |
14 | Nancy | 25.0 | 28 | 7 | 21 | 2657 | 2822 | 94.9 | 100.8 | -5.9 | 30.2 |
15 | Salon | 21.4 | 28 | 6 | 22 | 2623 | 2834 | 93.7 | 101.2 | -7.5 | 25.4 |
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.