Mon, 2019 January 21. @ 19:53 (Europe/Berlin) | Change timezone

Cantů

Show all games | Show last 10 games
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 79 : 96 Cantů 1.55 15.00 2.70
4 2018.10.28 Cantů 101 : 95 Regio Emilia 1.48 16.00 2.95
5 2018.11.04 Brindisi 76 : 59 Cantů 1.75 15.00 2.27
6 2018.11.11 Virtus Bologna 90 : 81 Cantů 1.37 17.00 3.45
7 2018.11.19 Cantů 87 : 90 Scavolini Pesaro 1.25 19.00 4.40
8 2018.11.25 Pallacanestro Trieste 102 : 82 Cantů 1.35 17.00 3.60
9 2018.12.09 Cantů 74 : 101 Milano 4.90 20.00 1.21
10 2018.12.16 Brescia 81 : 63 Cantů 1.35 17.00 3.60
11 2018.12.23 Cantů 71 : 93 Venezia 3.25 16.00 1.41
12 2018.12.25 Varese 89 : 71 Cantů 1.07 28.00 9.00
13 2018.12.30 Cantů 100 : 79 Pistoia 1.54 15.00 2.75
14 2019.01.06 Torino PMS 96 : 106 ot Cantů 1.42 16.00 3.20
15 2019.01.12 Cantů 88 : 97 Sassari 2.40 15.00 1.68
16 2019.01.19 Cantů 83 : 73 Avellino 1.42 16.00 3.15
17  2019.01.27 Pallacanestro Trento - : - Cantů 1.29 - 3.65
18  2019.02.03 Cantů - : - Vanoli Cremona - - -
19  2019.02.10 Regio Emilia - : - Cantů - - -


  Season progress graph Form
Home Home 24
Away Season progress graph 20
Overall Season progress graph 33

Milano

Show all games | Show last 10 games
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 107 : 83 Pistoia 1.04 30.00 11.00
4 2018.10.28 Scavolini Pesaro 82 : 97 Milano 7.60 25.00 1.10
5 2018.11.04 Torino PMS 71 : 93 Milano 3.10 16.00 1.44
6 2018.11.11 Milano 100 : 75 Regio Emilia 1.04 30.00 11.00
7 2018.11.18 Venezia 81 : 84 Milano 2.02 14.00 1.94
8 2018.11.25 Milano 76 : 75 Vanoli Cremona 1.16 22.00 5.80
9 2018.12.09 Cantů 74 : 101 Milano 4.90 20.00 1.21
10 2018.12.16 Sassari 106 : 107 ot Milano 2.60 15.00 1.59
11 2018.12.23 Milano 72 : 67 Varese 1.31 18.00 3.80
12 2018.12.25 Milano 87 : 75 Brescia 1.24 19.00 4.50
13 2018.12.30 Avellino 85 : 81 Milano 3.30 17.00 1.39
14 2019.01.06 Milano 86 : 78 Pallacanestro Trento 1.24 19.00 4.60
15 2019.01.13 Pallacanestro Trieste 73 : 77 Milano 2.34 15.00 1.71
16 2019.01.20 Brindisi 101 : 92 Milano 3.15 16.00 1.42
17  2019.01.27 Milano - : - Virtus Bologna 1.16 - 5.40
18  2019.02.03 Pistoia - : - Milano - - -
19  2019.02.10 Milano - : - Scavolini Pesaro - - -


  Season progress graph Form
Home Home 45
Away Season progress graph 28
Overall Season progress graph 28

Mutual matches

Date Home Score Away 1 X 2
2018.12.09 Cantů 74 : 101 Milano 4.90 20.00 1.21
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 -4
Overall 5
Prediction Draw/no bet

Cantů

Total points/game
< 140 6.25% (1/16)
141 - 170 31.25% (5/16)
171 - 200 56.25% (9/16)
201+ 6.25% (1/16)

Winning margin
By 1-2 points 0% (0/16)
By 3-6 points 6.25% (1/16)
By 7-9 points 0% (0/16)
By 10-13 points 18.75% (3/16)
By 14-16 points 0% (0/16)
By 17-20 points 6.25% (1/16)
By 21+ points 6.25% (1/16)

Points scored/game 82.94
Points received/game 88.19
Points/game 171.12

  1st quarter 2nd quarter 3rd quarter Final
Won 37.5% (6/16) 50% (8/16) 37.5% (6/16) 31.25% (5/16)
Ties 6.25% (1/16) 12.5% (2/16) 0% (0/16) 0% (0/16)
Lost 56.25% (9/16) 37.5% (6/16) 62.5% (10/16) 62.5% (10/16)

No. of points in quarters
First 26.41% (723/2738)
Second 24.21% (663/2738)
Third 23.85% (653/2738)
Fourth 24.8% (679/2738)

Milano

Total points/game
< 140 6.25% (1/16)
141 - 170 50% (8/16)
171 - 200 37.5% (6/16)
201+ 6.25% (1/16)

Winning margin
By 1-2 points 12.5% (2/16)
By 3-6 points 18.75% (3/16)
By 7-9 points 12.5% (2/16)
By 10-13 points 12.5% (2/16)
By 14-16 points 6.25% (1/16)
By 17-20 points 0% (0/16)
By 21+ points 25% (4/16)

Points scored/game 90.69
Points received/game 81.06
Points/game 171.75

  1st quarter 2nd quarter 3rd quarter Final
Won 62.5% (10/16) 56.25% (9/16) 56.25% (9/16) 81.25% (13/16)
Ties 12.5% (2/16) 6.25% (1/16) 0% (0/16) 0% (0/16)
Lost 25% (4/16) 37.5% (6/16) 43.75% (7/16) 12.5% (2/16)

No. of points in quarters
First 23.44% (644/2748)
Second 23.91% (657/2748)
Third 24.53% (674/2748)
Fourth 27% (742/2748)

League tables

Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Milano 16 13 1 0 2 1451:1297 +154 28 -1
2 Venezia 16 10 1 0 5 1291:1127 +164 22 +1
3 Avellino 16 10 1 0 5 1324:1308 +16 22 -1
4 Vanoli Cremona 16 9 1 0 6 1417:1343 +74 20 -1
5 Sassari 16 9 0 1 6 1427:1328 +99 18 +5
6 Varese 16 9 0 0 7 1240:1182 +58 18 -3
7 Virtus Bologna 16 9 0 0 7 1304:1312 -8 18 +3
8 Brindisi 16 9 0 0 7 1276:1236 +40 18 +2
9 Pallacanestro Trieste 16 7 0 0 9 1348:1330 +18 14 -4
10 Pallacanestro Trento 16 7 0 1 8 1234:1299 -65 14 +1
11 Brescia 16 7 0 0 9 1248:1269 -21 14 +2
12 Scavolini Pesaro 16 5 1 1 9 1315:1469 -154 12 +2
13 Cantů 16 5 1 0 10 1327:1411 -84 12 +1
14 Regio Emilia 16 5 0 0 11 1267:1322 -55 10 -2
15 Torino PMS 16 4 0 3 9 1291:1379 -88 8 -5
16 Pistoia 16 4 0 0 12 1251:1399 -148 8 -2
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Milano 7 7 0 0 0 631:545 +86 14 +7
2 Varese 8 6 0 0 2 661:598 +63 12 -1
3 Avellino 8 5 1 0 2 682:646 +36 12 +4
4 Brescia 8 6 0 0 2 626:614 +12 12 +2
5 Sassari 8 5 0 1 2 765:689 +76 10 +3
6 Brindisi 9 5 0 0 4 725:691 +34 10 +1
7 Venezia 8 4 1 0 3 632:571 +61 10 +1
8 Pallacanestro Trieste 8 5 0 0 3 715:646 +69 10 -2
9 Virtus Bologna 8 5 0 0 3 642:641 +1 10 +3
10 Vanoli Cremona 9 5 0 0 4 789:765 +24 10 -1
11 Regio Emilia 8 4 0 0 4 662:642 +20 8 +2
12 Scavolini Pesaro 8 3 1 0 4 708:732 -24 8 +1
13 Pallacanestro Trento 7 4 0 1 2 525:536 -11 8 -1
14 Cantů 8 4 0 0 4 688:700 -12 8 +1
15 Torino PMS 8 3 0 1 4 636:678 -42 6 -3
16 Pistoia 8 2 0 0 6 578:652 -74 4 -1
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Milano 9 6 1 0 2 820:752 +68 14 -1
2 Venezia 8 6 0 0 2 659:556 +103 12 +1
3 Avellino 8 5 0 0 3 642:662 -20 10 -1
4 Vanoli Cremona 7 4 1 0 2 628:578 +50 10 -1
5 Sassari 8 4 0 0 4 662:639 +23 8 +2
6 Brindisi 7 4 0 0 3 551:545 +6 8 +2
7 Virtus Bologna 8 4 0 0 4 662:671 -9 8 +1
8 Varese 8 3 0 0 5 579:584 -5 6 -2
9 Pallacanestro Trento 9 3 0 0 6 709:763 -54 6 +1
10 Pallacanestro Trieste 8 2 0 0 6 633:684 -51 4 -2
11 Pistoia 8 2 0 0 6 673:747 -74 4 -3
12 Scavolini Pesaro 8 2 0 1 5 607:737 -130 4 +1
13 Cantů 8 1 1 0 6 639:711 -72 4 +1
14 Regio Emilia 8 1 0 0 7 605:680 -75 2 -4
15 Torino PMS 8 1 0 2 5 655:701 -46 2 -6
16 Brescia 8 1 0 0 7 622:655 -33 2 -2

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.