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Standings The rankings of all sports


country Serie A1 sport
Updated  30/06/2017
POS NOME G V N P Pti RF RS GC VC NC PC RFC RSC GF VF NF PF RFF RSF
1 Logo Ea7 Milano 30 23 7 46 2584 2384 15 14 1 1345 1182 15 9 6 1239 1202
2 Logo Umana Venezia 30 21 9 42 2447 2330 15 12 3 1224 1108 15 9 6 1223 1222
3 Logo Sidigas Avellino 30 19 11 38 2392 2285 15 12 3 1236 1118 15 7 8 1156 1167
4 Logo Dolomiti Energia Trento 30 18 12 36 2352 2201 15 10 5 1205 1101 15 8 7 1147 1100
5 Logo Banco Di Sardegna Sassari 30 17 13 34 2301 2218 15 11 4 1228 1094 15 6 9 1073 1124
6 Logo Grissin Bon Reggio Emilia 30 17 13 34 2458 2443 15 11 4 1276 1189 15 6 9 1182 1254
7 Logo Giorgio Tesi Group Pistoia 30 15 15 30 2306 2298 15 13 2 1218 1061 15 2 13 1088 1237
8 Logo Orlandina Basket 30 15 15 30 2291 2315 15 11 4 1166 1076 15 4 11 1125 1239
9 Logo Enel Brindisi 30 14 16 28 2495 2465 15 11 4 1293 1172 15 3 12 1202 1293
10 Logo Brescia 30 13 17 26 2360 2453 15 9 6 1248 1172 15 4 11 1112 1281
11 Logo Auxilium Cus Torino 30 13 17 26 2455 2551 15 9 6 1293 1255 15 4 11 1162 1296
12 Logo Openjobmetis Varese 30 13 17 26 2319 2402 15 8 7 1192 1186 15 5 10 1127 1216
13 Logo Pasta Reggia Caserta 30 12 18 24 2337 2430 15 9 6 1196 1162 15 3 12 1141 1268
14 Logo Cantu 30 11 19 22 2335 2476 15 8 7 1201 1189 15 3 12 1134 1287
15 Logo Consultinvest Pesaro 30 10 20 20 2285 2420 15 7 8 1130 1115 15 3 12 1155 1305
16 Logo Vanoli Cremona 30 9 21 18 2370 2416 15 6 9 1239 1217 15 3 12 1131 1199

Legend
  • POS Ranking
  • G Total number of games Play
  • V Total Number of games Won
  • P Total number of games lost
  • Pti Number of points obtained
  • CF Get Total Number of Baskets
  • CS Against Total Number of Baskets
  • GC Number of home games
  • VC Number of games Won House
  • PC Number of games lost in the House
  • CFC Number of Baskets Homemade
  • CSC Number of Baskets Against House
  • GF Number of games Play Outside
  • VF Number of games Won Out
  • PF Number of games Lost Out
  • CFF Number of Baskets Get Out
  • CSF Number of Baskets Out Against
The generation algorithm picks Mathiscommetti program uses statistical data of current league teams facing each other, so that these data have a valid statistical significance must have played at least 6 matches, is for this reason that in the absence of the conditions enumerated above program for the development of prediction uses data from the previous season, and it is always for the same reason that the new league standings are only updated after the sixth day.


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