France - NM1
Standings
France - NM1 basketball (FRA-3)
Standings for 2012-2013 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | BC Orchies | 76.7 | 30 | 23 | 7 | 2469 | 2178 | 82.3 | 72.6 | 9.7 | 85.1 |
2 | Souffelweyersheim | 70.0 | 30 | 21 | 9 | 2153 | 1926 | 71.8 | 64.2 | 7.6 | 82.5 |
3 | JA Vichy | 70.0 | 30 | 21 | 9 | 2167 | 1963 | 72.2 | 65.4 | 6.8 | 79.8 |
4 | Blois | 66.7 | 30 | 20 | 10 | 2313 | 2209 | 77.1 | 73.6 | 3.5 | 65.5 |
5 | Cognac | 63.3 | 30 | 19 | 11 | 2233 | 2138 | 74.4 | 71.3 | 3.1 | 64.7 |
6 | AS Monaco | 60.0 | 30 | 18 | 12 | 2375 | 2167 | 79.2 | 72.2 | 7.0 | 78.2 |
7 | Stade Rochelais | 56.7 | 30 | 17 | 13 | 2180 | 2142 | 72.7 | 71.4 | 1.3 | 56.1 |
8 | Quimper | 56.7 | 30 | 17 | 13 | 2228 | 2191 | 74.3 | 73.0 | 1.3 | 55.8 |
9 | Rueil | 53.3 | 30 | 16 | 14 | 2245 | 2245 | 74.8 | 74.8 | 0.0 | 50.0 |
10 | Avignon Le Pontet | 43.3 | 30 | 13 | 17 | 2437 | 2419 | 81.2 | 80.6 | 0.6 | 52.6 |
11 | Chartres | 43.3 | 30 | 13 | 17 | 2000 | 2045 | 66.7 | 68.2 | -1.5 | 42.3 |
12 | Saint-Chamond | 40.0 | 30 | 12 | 18 | 2265 | 2283 | 75.5 | 76.1 | -0.6 | 47.3 |
13 | Angers | 40.0 | 30 | 12 | 18 | 2203 | 2228 | 73.4 | 74.3 | -0.9 | 46.1 |
14 | Vendée Challans Basket | 36.7 | 30 | 11 | 19 | 2290 | 2334 | 76.3 | 77.8 | -1.5 | 43.4 |
15 | Rennes | 23.3 | 30 | 7 | 23 | 2010 | 2235 | 67.0 | 74.5 | -7.5 | 18.6 |
16 | Pôle France | 0.0 | 30 | 0 | 30 | 1874 | 2739 | 62.5 | 91.3 | -28.8 | 0.5 |
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.