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Torino PMS

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2017.10.01 Brindisi 67 : 72 Torino PMS 1.48 13.00 2.65
2 2017.10.07 Torino PMS 97 : 92 Sassari 1.75 11.50 2.10
3 2017.10.14 Avellino 72 : 63 Torino PMS 1.42 13.00 2.85
4 2017.10.22 Torino PMS 88 : 79 Scavolini Pesaro 1.25 13.00 3.90
5 2017.10.29 Upea Capo d'Orlando 70 : 73 Torino PMS 2.10 11.50 1.75
6 2017.11.05 Venezia 91 : 96 Torino PMS 1.35 13.00 3.25
7 2017.11.12 Torino PMS 88 : 80 Vanoli Cremona 1.32 13.00 3.30
8 2017.11.19 Torino PMS 89 : 94 Cantů 1.27 13.00 3.75
9 2017.12.03 Pistoia 80 : 65 Torino PMS 1.82 11.00 2.05
10 2017.12.10 Torino PMS 71 : 59 Milano 2.50 12.00 1.55
11 2017.12.17 Virtus Bologna 84 : 76 Torino PMS 1.40 13.00 2.95
12 2017.12.23 Torino PMS 87 : 64 Regio Emilia 1.50 12.00 2.65
13 2017.12.30 Pallacanestro Trento 79 : 67 Torino PMS 1.45 13.00 2.70
14 2018.01.07 Torino PMS 95 : 86 Brescia 1.52 13.00 2.55
15 2018.01.14 Varese 89 : 92 Torino PMS 1.82 11.50 2.05
16 2018.01.21 Torino PMS 68 : 82 Brindisi 1.22 14.00 4.30
17 2018.01.27 Sassari 92 : 80 Torino PMS 1.35 13.00 3.20
18 2018.02.04 Torino PMS 59 : 77 Avellino 1.90 11.00 1.95
19 2018.02.11 Scavolini Pesaro 90 : 95 Torino PMS 2.10 11.00 1.78
20 2018.03.04 Torino PMS 92 : 89 Upea Capo d'Orlando 1.06 14.00 9.00
21 2018.03.11 Torino PMS 82 : 90 Venezia 1.65 12.00 2.25
22 2018.03.18 Vanoli Cremona 92 : 70 Torino PMS 1.52 13.00 2.55
23 2018.03.25 Cantů 93 : 90 Torino PMS 1.42 13.00 2.90
24 2018.03.31 Torino PMS 77 : 84 Pistoia 1.24 14.00 4.00
25 2018.04.08 Milano 90 : 78 Torino PMS 1.14 14.00 5.50
26 2018.04.14 Torino PMS 65 : 67 Virtus Bologna 1.62 12.00 2.35
27 2018.04.23 Regio Emilia 89 : 82 Torino PMS 1.45 14.00 2.75
28  2018.04.29 Torino PMS - : - Pallacanestro Trento - - -
29  2018.05.06 Brescia - : - Torino PMS - - -
30  2018.05.09 Torino PMS - : - Varese - - -


  Season progress graph Form
Home Home 6
Away Season progress graph 4
Overall Season progress graph 0

Milano

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2017.10.01 Vanoli Cremona 60 : 76 Milano 3.90 13.00 1.25
2 2017.10.08 Milano 74 : 73 Varese 1.06 16.00 8.00
3 2017.10.15 Upea Capo d'Orlando 62 : 68 Milano 5.25 15.00 1.15
4 2017.10.22 Milano 93 : 73 Brindisi 1.12 15.00 6.00
5 2017.10.29 Sassari 90 : 69 Milano 2.25 12.00 1.65
6 2017.11.05 Milano 72 : 64 Virtus Bologna 1.27 13.00 3.75
7 2017.11.11 Pallacanestro Trento 55 : 74 Milano 2.35 12.00 1.60
8 2017.11.19 Milano 92 : 94 ot Avellino 1.30 14.00 3.50
9 2017.12.03 Regio Emilia 71 : 72 Milano 2.70 13.00 1.45
10 2017.12.10 Torino PMS 71 : 59 Milano 2.50 12.00 1.55
11 2017.12.17 Milano 93 : 77 Cantů 1.23 13.00 4.20
12 2017.12.26 Milano 74 : 71 Brescia 1.32 13.00 3.30
13 2018.01.02 Scavolini Pesaro 64 : 78 Milano 3.80 15.00 1.25
14 2018.01.08 Pistoia 63 : 79 Milano 3.70 13.00 1.28
15 2018.01.14 Milano 80 : 84 Venezia 1.28 13.00 3.60
16 2018.01.22 Milano 82 : 80 Vanoli Cremona 1.22 14.00 4.30
17 2018.01.29 Varese 76 : 72 Milano 2.85 13.00 1.42
18 2018.02.04 Milano 91 : 54 Upea Capo d'Orlando 1.05 14.00 9.50
19 2018.02.11 Brindisi 72 : 84 Milano 3.10 13.00 1.38
20 2018.03.04 Milano 116 : 93 Sassari 1.22 14.00 4.30
21 2018.03.11 Virtus Bologna 67 : 73 Milano 2.35 13.00 1.60
22 2018.03.17 Milano 88 : 80 Pallacanestro Trento 1.20 14.00 4.40
23 2018.03.25 Avellino 75 : 82 Milano 2.05 11.00 1.82
24 2018.03.31 Milano 92 : 78 Regio Emilia 1.16 14.00 5.00
25 2018.04.08 Milano 90 : 78 Torino PMS 1.14 14.00 5.50
26 2018.04.15 Cantů 93 : 98 Milano 2.35 13.00 1.60
27 2018.04.22 Brescia 88 : 85 ot Milano 2.30 13.00 1.62
28  2018.04.29 Milano - : - Scavolini Pesaro 1.03 - 9.00
29  2018.05.06 Milano - : - Pistoia - - -
30  2018.05.09 Venezia - : - Milano - - -


  Season progress graph Form
Home Home 45
Away Season progress graph 40
Overall Season progress graph 35

Mutual matches

Date Home Score Away 1 X 2
2018.04.08 Milano 90 : 78 Torino PMS 1.14 14.00 5.50
2017.12.10 Torino PMS 71 : 59 Milano 2.50 12.00 1.55
2017.03.05 Milano 81 : 74 Torino PMS 1.11 11.50 6.00
2016.11.06 Torino PMS 97 : 100 Milano 4.40 11.00 1.20
2016.03.06 Milano 94 : 90 ot Torino PMS 1.01 11.50 10.50
2015.11.15 Torino PMS 85 : 83 Milano 5.50 15.00 1.16

Form difference

  Form difference
Home-Away -34
Overall -35
Prediction Home Lose

Torino PMS

Total points/game
< 140 18.52% (5/27)
141 - 170 40.74% (11/27)
171 - 200 40.74% (11/27)
201+ 0% (0/27)

Winning margin
By 1-2 points 0% (0/27)
By 3-6 points 25.93% (7/27)
By 7-9 points 11.11% (3/27)
By 10-13 points 3.7% (1/27)
By 14-16 points 0% (0/27)
By 17-20 points 0% (0/27)
By 21+ points 3.7% (1/27)

Points scored/game 79.89
Points received/game 82.26
Points/game 162.15

  1st quarter 2nd quarter 3rd quarter Final
Won 55.56% (15/27) 37.04% (10/27) 51.85% (14/27) 44.44% (12/27)
Ties 0% (0/27) 3.7% (1/27) 0% (0/27) 0% (0/27)
Lost 44.44% (12/27) 59.26% (16/27) 48.15% (13/27) 55.56% (15/27)

No. of points in quarters
First 25.24% (1105/4378)
Second 24.03% (1052/4378)
Third 25.65% (1123/4378)
Fourth 25.08% (1098/4378)

Milano

Total points/game
< 140 22.22% (6/27)
141 - 170 62.96% (17/27)
171 - 200 11.11% (3/27)
201+ 3.7% (1/27)

Winning margin
By 1-2 points 11.11% (3/27)
By 3-6 points 14.81% (4/27)
By 7-9 points 11.11% (3/27)
By 10-13 points 7.41% (2/27)
By 14-16 points 18.52% (5/27)
By 17-20 points 7.41% (2/27)
By 21+ points 7.41% (2/27)

Points scored/game 81.70
Points received/game 74.30
Points/game 156.00

  1st quarter 2nd quarter 3rd quarter Final
Won 51.85% (14/27) 66.67% (18/27) 55.56% (15/27) 77.78% (21/27)
Ties 0% (0/27) 3.7% (1/27) 3.7% (1/27) 0% (0/27)
Lost 48.15% (13/27) 29.63% (8/27) 40.74% (11/27) 14.81% (4/27)

No. of points in quarters
First 24.15% (1017/4212)
Second 25.24% (1063/4212)
Third 24.03% (1012/4212)
Fourth 25.28% (1065/4212)

League tables

Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Venezia 27 19 2 1 5 2214:2116 +98 42 +4
2 Milano 27 21 0 2 4 2206:2006 +200 42 -1
3 Brescia 27 17 2 0 8 2128:2009 +119 38 +1
4 Avellino 27 14 4 2 7 2277:2095 +182 36 +3
5 Pallacanestro Trento 27 16 0 0 11 2170:2057 +113 32 +5
6 Varese 27 14 0 2 11 2114:2035 +79 28 +6
7 Cantů 27 13 1 1 12 2361:2379 -18 28 +1
8 Virtus Bologna 27 13 1 0 13 2116:2057 +59 28 -1
9 Sassari 27 13 0 4 10 2313:2253 +60 26 -1
10 Vanoli Cremona 27 13 0 0 14 2268:2225 +43 26 +1
11 Torino PMS 27 12 0 0 15 2157:2221 -64 24 -7
12 Regio Emilia 27 12 0 0 15 2067:2098 -31 24 +2
13 Pistoia 27 9 0 1 17 2042:2189 -147 18 -3
14 Brindisi 27 5 3 0 19 2092:2222 -130 16 -3
15 Upea Capo d'Orlando 27 6 0 2 19 1902:2251 -349 12 -1
16 Scavolini Pesaro 27 4 2 0 21 2077:2291 -214 12 -2
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Avellino 13 10 1 1 1 1118:935 +183 22 +2
2 Milano 13 11 0 1 1 1137:999 +138 22 +6
3 Brescia 14 9 1 0 4 1118:999 +119 20 +2
4 Venezia 13 9 1 0 3 1039:988 +51 20 +5
5 Pallacanestro Trento 14 10 0 0 4 1148:1027 +121 20 +5
6 Cantů 13 8 1 1 3 1205:1114 +91 18 -1
7 Sassari 14 9 0 1 4 1209:1116 +93 18 -3
8 Varese 13 9 0 1 3 1074:965 +109 18 +5
9 Virtus Bologna 14 9 0 0 5 1141:1043 +98 18 -2
10 Vanoli Cremona 13 9 0 0 4 1130:1041 +89 18 -1
11 Regio Emilia 14 7 0 0 7 1109:1067 +42 14 +2
12 Pistoia 13 7 0 0 6 1021:1009 +12 14 -1
13 Torino PMS 13 7 0 0 6 1058:1043 +15 14 -3
14 Brindisi 14 3 3 0 8 1138:1158 -20 12 -2
15 Scavolini Pesaro 14 3 2 0 9 1091:1145 -54 10 -1
16 Upea Capo d'Orlando 14 3 0 1 10 1007:1112 -105 6 -8
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Venezia 14 10 1 1 2 1175:1128 +47 22 +2
2 Milano 14 10 0 1 3 1069:1007 +62 20 -1
3 Brescia 13 8 1 0 4 1010:1010 0 18 -1
4 Avellino 14 4 3 1 6 1159:1160 -1 14 +1
5 Pallacanestro Trento 13 6 0 0 7 1022:1030 -8 12 +2
6 Cantů 14 5 0 0 9 1156:1265 -109 10 +2
7 Varese 14 5 0 1 8 1040:1070 -30 10 +3
8 Regio Emilia 13 5 0 0 8 958:1031 -73 10 -2
9 Virtus Bologna 13 4 1 0 8 975:1014 -39 10 +1
10 Torino PMS 14 5 0 0 9 1099:1178 -79 10 -4
11 Sassari 13 4 0 3 6 1104:1137 -33 8 +1
12 Vanoli Cremona 14 4 0 0 10 1138:1184 -46 8 +1
13 Upea Capo d'Orlando 13 3 0 1 9 895:1139 -244 6 +1
14 Brindisi 13 2 0 0 11 954:1064 -110 4 -5
15 Pistoia 14 2 0 1 11 1021:1180 -159 4 -2
16 Scavolini Pesaro 13 1 0 0 12 986:1146 -160 2 -12

Here you can check how Torino PMS compares to Milano by stats. The data is calculated based on matches from A1 M. This can be very useful in predicting the outcome of the next match.