Mon, 2018 October 15. @ 17:56 (Europe/Berlin) | Change timezone

Cantů


Game Date Home Score Away 1 X 2
1 2018.10.06 Avellino 98 : 81 Cantů 1.30 18.00 3.95
2 2018.10.14 Cantů 84 : 72 Pallacanestro Trento 1.49 16.00 2.90
3  2018.10.20 Vanoli Cremona - : - Cantů - - -
4  2018.10.28 Cantů - : - Regio Emilia - - -
5  2018.11.04 Brindisi - : - Cantů - - -


  Season progress graph Form
Home Home 15
Away Season progress graph 0
Overall Season progress graph 15

Milano


Game Date Home Score Away 1 X 2
1 2018.10.07 Milano 103 : 92 Brindisi 1.08 27.00 8.60
2 2018.10.14 Virtus Bologna 79 : 88 Milano 3.40 17.00 1.38
3  2018.10.21 Milano - : - Pistoia - - -
4  2018.10.28 Scavolini Pesaro - : - Milano - - -
5  2018.11.04 Torino PMS - : - Milano - - -


  Season progress graph Form
Home Home 15
Away Season progress graph 20
Overall Season progress graph 32

Mutual matches

Date Home Score Away 1 X 2
2018.05.16 Cantů 65 : 74 Milano 2.95 16.00 1.46
2018.05.14 Milano 87 : 75 Cantů 1.12 23.00 6.60
2018.05.12 Milano 105 : 73 Cantů 1.14 22.00 5.80
2018.04.15 Cantů 93 : 98 Milano 2.35 13.00 1.60
2017.12.17 Milano 93 : 77 Cantů 1.23 13.00 4.20
2017.05.07 Milano 89 : 71 Cantů 1.10 17.00 6.25
2017.01.10 Cantů 79 : 85 Milano 2.90 11.00 1.42
2016.03.20 Milano 72 : 65 Cantů 1.16 11.50 5.10
2015.11.29 Cantů 71 : 78 Milano 2.70 12.00 1.52
2015.04.16 Cantů 83 : 64 Milano 2.92 16.00 1.41
2014.11.16 Milano 83 : 64 Cantů 1.23 16.50 4.25
2014.04.06 Milano 76 : 71 Cantů 1.22 16.50 4.30
2013.12.23 Cantů 87 : 72 Milano 1.73 14.50 2.15
2013.04.28 Cantů 69 : 78 Milano 1.80 15.00 2.00
2013.01.06 Milano 76 : 84 Cantů 1.60 15.00 2.35
2012.04.15 Milano 72 : 64 Cantů 1.44 17.00 2.80
2011.12.26 Cantů 79 : 54 Milano 1.65 15.00 2.25
2011.06.05 Milano 62 : 74 Cantů 1.33 19.00 3.25
2011.06.03 Milano 70 : 56 Cantů 1.45 19.00 2.70
2011.06.01 Cantů 70 : 64 Milano 1.35 17.00 3.15
2011.05.30 Cantů 62 : 48 Milano 1.53 17.00 2.45
2011.04.23 Milano 75 : 73 Cantů 1.42 19.00 2.75
2011.01.02 Cantů 67 : 59 Milano 1.75 17.00 2.05
2010.03.14 Cantů 64 : 59 Milano 1.90 15.00 1.90
2009.11.15 Milano 73 : 53 Cantů 1.20 17.00 4.33
2008.11.16 Milano 88 : 78 Cantů 1.36 19.00 3.10
2008.04.13 Milano 86 : 74 Cantů 1.30 19.00 3.50
2007.12.16 Cantů 70 : 79 Milano 1.85 17.00 1.95
2007.04.01 Cantů 87 : 77 Milano - - -
2006.11.26 Milano 77 : 62 Cantů - - -
2006.02.12 Milano 86 : 82 Cantů 1.13 - 5.15
2005.10.16 Cantů 81 : 70 Milano 3.30 - 1.29
2005.05.17 Milano 94 : 83 Cantů 1.31 - 3.05
2005.05.14 Cantů 83 : 92 Milano 1.58 - 2.25
2005.05.11 Milano 83 : 77 Cantů 1.41 19.00 2.65
2005.02.13 Milano 80 : 92 Cantů 1.36 - 2.76
2004.10.17 Cantů 58 : 68 Milano 1.55 - 2.30
2004.03.21 Cantů 76 : 62 Milano 1.32 - 3.10
2003.11.08 Milano 94 : 83 Cantů - - -

Form difference

  Form difference
Home-Away -5
Overall -17
Prediction Draw/no bet

Cantů

Total points/game
< 140 0% (0/2)
141 - 170 50% (1/2)
171 - 200 50% (1/2)
201+ 0% (0/2)

Winning margin
By 1-2 points 0% (0/2)
By 3-6 points 0% (0/2)
By 7-9 points 0% (0/2)
By 10-13 points 50% (1/2)
By 14-16 points 0% (0/2)
By 17-20 points 0% (0/2)
By 21+ points 0% (0/2)

Points scored/game 82.50
Points received/game 85.00
Points/game 167.50

  1st quarter 2nd quarter 3rd quarter Final
Won 50% (1/2) 0% (0/2) 50% (1/2) 50% (1/2)
Ties 0% (0/2) 50% (1/2) 0% (0/2) 0% (0/2)
Lost 50% (1/2) 50% (1/2) 50% (1/2) 50% (1/2)

No. of points in quarters
First 31.04% (104/335)
Second 28.06% (94/335)
Third 22.09% (74/335)
Fourth 18.81% (63/335)

Milano

Total points/game
< 140 0% (0/2)
141 - 170 50% (1/2)
171 - 200 50% (1/2)
201+ 0% (0/2)

Winning margin
By 1-2 points 0% (0/2)
By 3-6 points 0% (0/2)
By 7-9 points 50% (1/2)
By 10-13 points 50% (1/2)
By 14-16 points 0% (0/2)
By 17-20 points 0% (0/2)
By 21+ points 0% (0/2)

Points scored/game 95.50
Points received/game 85.50
Points/game 181.00

  1st quarter 2nd quarter 3rd quarter Final
Won 100% (2/2) 0% (0/2) 100% (2/2) 100% (2/2)
Ties 0% (0/2) 0% (0/2) 0% (0/2) 0% (0/2)
Lost 0% (0/2) 100% (2/2) 0% (0/2) 0% (0/2)

No. of points in quarters
First 24.03% (87/362)
Second 24.03% (87/362)
Third 29.83% (108/362)
Fourth 22.1% (80/362)

League tables

Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Venezia 2 1 1 0 0 173:144 +29 4 +2
2 Milano 2 2 0 0 0 191:171 +20 4 +2
3 Vanoli Cremona 2 1 1 0 0 198:187 +11 4 +2
4 Avellino 2 1 0 0 1 186:175 +11 2 -1
5 Brindisi 2 1 0 0 1 180:176 +4 2 +1
6 Regio Emilia 2 1 0 0 1 164:160 +4 2 -1
7 Brescia 2 1 0 0 1 163:160 +3 2 +1
8 Sassari 2 1 0 0 1 148:145 +3 2 +1
9 Varese 2 1 0 0 1 141:151 -10 2 -1
10 Torino PMS 2 1 0 1 0 161:150 +11 2 +1
11 Virtus Bologna 2 1 0 0 1 171:176 -5 2 -1
12 Scavolini Pesaro 2 1 0 0 1 156:165 -9 2 -1
13 Cantů 2 1 0 0 1 165:170 -5 2 +1
14 Pallacanestro Trieste 2 0 0 0 2 162:178 -16 0 -2
15 Pallacanestro Trento 2 0 0 1 1 171:188 -17 0 -2
16 Pistoia 2 0 0 0 2 146:180 -34 0 -2
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Brindisi 1 1 0 0 0 88:73 +15 2 +1
2 Avellino 1 1 0 0 0 98:81 +17 2 +1
3 Venezia 1 0 1 0 0 76:75 +1 2 +1
4 Regio Emilia 1 1 0 0 0 85:77 +8 2 +1
5 Scavolini Pesaro 1 1 0 0 0 83:77 +6 2 +1
6 Milano 1 1 0 0 0 103:92 +11 2 +1
7 Torino PMS 1 1 0 0 0 86:74 +12 2 +1
8 Vanoli Cremona 1 1 0 0 0 94:88 +6 2 +1
9 Cantů 1 1 0 0 0 84:72 +12 2 +1
10 Brescia 1 1 0 0 0 83:79 +4 2 +1
11 Sassari 1 1 0 0 0 71:60 +11 2 +1
12 Varese 1 1 0 0 0 81:80 +1 2 +1
13 Pallacanestro Trieste 1 0 0 0 1 88:92 -4 0 -1
14 Pistoia 1 0 0 0 1 69:97 -28 0 -1
15 Pallacanestro Trento 1 0 0 1 0 99:104 -5 0 -1
16 Virtus Bologna 1 0 0 0 1 79:88 -9 0 -1
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Venezia 1 1 0 0 0 97:69 +28 2 +1
2 Virtus Bologna 1 1 0 0 0 92:88 +4 2 +1
3 Milano 1 1 0 0 0 88:79 +9 2 +1
4 Vanoli Cremona 1 0 1 0 0 104:99 +5 2 +1
5 Brindisi 1 0 0 0 1 92:103 -11 0 -1
6 Avellino 1 0 0 0 1 88:94 -6 0 -1
7 Pallacanestro Trieste 1 0 0 0 1 74:86 -12 0 -1
8 Pistoia 1 0 0 0 1 77:83 -6 0 -1
9 Regio Emilia 1 0 0 0 1 79:83 -4 0 -1
10 Scavolini Pesaro 1 0 0 0 1 73:88 -15 0 -1
11 Pallacanestro Trento 1 0 0 0 1 72:84 -12 0 -1
12 Torino PMS 1 0 0 1 0 75:76 -1 0 -1
13 Cantů 1 0 0 0 1 81:98 -17 0 -1
14 Brescia 1 0 0 0 1 80:81 -1 0 -1
15 Sassari 1 0 0 0 1 77:85 -8 0 -1
16 Varese 1 0 0 0 1 60:71 -11 0 -1

Here you can check how Cantů 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.