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Milano

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2019.09.26 Benetton Treviso 53 : 75 Milano 4.99 20.00 1.20
2 2019.09.29 Milano 65 : 73 Brescia 1.10 25.50 7.60
3 2019.10.06 Milano 88 : 73 Pallacanestro Trieste 1.25 19.00 4.45
4 2019.10.13 Milano 89 : 92 Brindisi 1.20 20.50 5.10
5 2019.10.20 Vanoli Cremona 82 : 78 Milano 3.19 16.25 1.42
6 2019.10.27 Roma 73 : 79 Milano 3.83 17.50 1.31
7 2019.11.03 Milano 93 : 69 Varese 1.36 16.75 3.49
8 2019.11.11 Milano 83 : 63 Pistoia 1.03 33.00 12.00
9 2019.11.17 Fortitudo Bologna 85 : 80 Milano 3.36 16.50 1.39
10 2019.11.24 Milano 90 : 78 Sassari 1.52 15.50 2.81
11 2019.12.01 Milano 89 : 78 Regio Emilia 1.16 21.50 5.75
12 2019.12.08 Scavolini Pesaro 65 : 71 Milano 8.60 27.50 1.08
13 2019.12.15 Venezia 70 : 71 Milano 2.00 14.50 1.96
14 2019.12.22 Milano 81 : 69 Pallacanestro Trento 1.15 22.50 6.00
16 2019.12.29 Virtus Bologna 83 : 70 Milano 1.72 14.75 2.32
17 2020.01.05 Milano 83 : 89 Cantů 1.20 20.00 5.05
18 2020.01.12 Milano 91 : 67 Benetton Treviso 1.17 21.00 5.50
19 2020.01.19 Brescia 78 : 72 Milano 2.08 14.50 1.89
20 2020.01.26 Pallacanestro Trieste 67 : 85 Milano 3.60 17.00 1.35
21 2020.02.01 Brindisi 74 : 77 Milano 2.64 15.25 1.57
22 2020.02.09 Milano 77 : 74 Vanoli Cremona 1.35 17.00 3.57
23  2020.03.01 Milano - : - Roma - - -
24  2020.03.08 Varese - : - Milano 2.37 14.75 1.69
25  2020.03.10 Pistoia - : - Milano - - -
26  2020.03.15 Milano - : - Fortitudo Bologna - - -


  Season progress graph Form
Home Home 36
Away Season progress graph 40
Overall Season progress graph 46

Brindisi

Show all games | Show last 10 games
Game Date Home Score Away 1 X 2
1 2019.09.26 Brindisi 64 : 69 Cantů 1.43 16.00 3.12
2 2019.09.29 Roma 63 : 87 Brindisi 1.92 14.50 2.04
3 2019.10.05 Brindisi 88 : 78 Brescia 1.58 15.25 2.62
4 2019.10.13 Milano 89 : 92 Brindisi 1.20 20.50 5.10
5 2019.10.20 Brindisi 108 : 99 Scavolini Pesaro 1.11 25.00 7.30
6 2019.10.27 Varese 102 : 78 Brindisi 1.65 15.00 2.46
7 2019.11.03 Brindisi 75 : 71 Venezia 1.85 14.50 2.12
8 2019.11.10 Pallacanestro Trieste 72 : 80 Brindisi 1.76 14.75 2.25
10 2019.11.24 Brindisi 100 : 67 Pistoia 1.13 23.50 6.60
11 2019.11.30 Pallacanestro Trento 78 : 67 Brindisi 1.67 14.75 2.41
12 2019.12.08 Brindisi 77 : 83 Sassari 1.97 14.50 1.99
13 2019.12.14 Virtus Bologna 99 : 87 Brindisi 1.30 18.00 3.97
14 2019.12.22 Fortitudo Bologna 78 : 72 Brindisi 1.65 15.00 2.46
15 2019.12.26 Brindisi 87 : 72 Regio Emilia 1.43 16.25 3.16
16 2019.12.29 Brindisi 81 : 74 Benetton Treviso 1.18 21.00 5.30
17 2020.01.05 Vanoli Cremona 93 : 89 Brindisi 1.50 15.50 2.86
18 2020.01.12 Cantů 92 : 93 ot Brindisi 1.61 15.00 2.55
19 2020.01.19 Brindisi 88 : 81 ot Roma 1.20 20.00 4.99
20 2020.01.26 Brescia 82 : 86 Brindisi 1.35 17.00 3.54
21 2020.02.01 Brindisi 74 : 77 Milano 2.64 15.25 1.57
22 2020.02.09 Scavolini Pesaro 77 : 103 Brindisi 3.54 17.00 1.35
23  2020.03.01 Brindisi - : - Varese - - -
24  2020.03.08 Venezia - : - Brindisi 1.48 15.75 2.93
25  2020.03.11 Brindisi - : - Pallacanestro Trieste - - -
27  2020.03.22 Pistoia - : - Brindisi - - -


  Season progress graph Form
Home Home 27
Away Season progress graph 48
Overall Season progress graph 42

Mutual matches

Date Home Score Away 1 X 2
2020.02.01 Brindisi 74 : 77 Milano 2.64 15.25 1.57
2019.10.13 Milano 89 : 92 Brindisi 1.20 20.50 5.10
2019.01.20 Brindisi 101 : 92 Milano 3.15 16.00 1.42
2018.10.07 Milano 103 : 92 Brindisi 1.08 27.00 8.60
2018.02.11 Brindisi 72 : 84 Milano 3.10 13.00 1.38
2017.10.22 Milano 93 : 73 Brindisi 1.12 15.00 6.00
2017.04.15 Brindisi 70 : 68 Milano 2.25 13.00 1.65
2016.12.18 Milano 99 : 86 Brindisi 1.11 11.50 6.00
2016.04.10 Brindisi 64 : 50 Milano 3.10 11.00 1.38
2015.12.20 Milano 77 : 72 Brindisi 1.13 16.00 5.75
2015.05.03 Brindisi 73 : 85 Milano 2.83 16.00 1.44
2015.01.05 Milano 77 : 68 Brindisi 1.17 17.00 4.95
2014.01.19 Milano 89 : 65 Brindisi 1.25 16.50 4.03
2013.10.13 Brindisi 88 : 80 Milano 2.78 16.00 1.45
2013.05.05 Milano 94 : 89 Brindisi 1.08 17.00 7.50
2013.01.13 Brindisi 76 : 83 Milano 2.15 15.00 1.70
2011.02.20 Brindisi 74 : 76 ot Milano 2.30 17.00 1.60
2010.11.07 Milano 97 : 76 Brindisi 1.09 21.00 6.50

Form difference

  Form difference
Home-Away -12
Overall 4
Prediction Draw/no bet

Milano

Total points/game
< 140 14.29% (3/21)
141 - 170 76.19% (16/21)
171 - 200 9.52% (2/21)
201+ 0% (0/21)

Winning margin
By 1-2 points 4.76% (1/21)
By 3-6 points 19.05% (4/21)
By 7-9 points 0% (0/21)
By 10-13 points 14.29% (3/21)
By 14-16 points 4.76% (1/21)
By 17-20 points 9.52% (2/21)
By 21+ points 14.29% (3/21)

Points scored/game 80.33
Points received/game 74.05
Points/game 154.38

  1st quarter 2nd quarter 3rd quarter Final
Won 61.9% (13/21) 33.33% (7/21) 66.67% (14/21) 66.67% (14/21)
Ties 4.76% (1/21) 14.29% (3/21) 0% (0/21) 0% (0/21)
Lost 33.33% (7/21) 52.38% (11/21) 33.33% (7/21) 33.33% (7/21)

No. of points in quarters
First 25.39% (823/3242)
Second 23.75% (770/3242)
Third 25.35% (822/3242)
Fourth 25.51% (827/3242)

Brindisi

Total points/game
< 140 4.76% (1/21)
141 - 170 61.9% (13/21)
171 - 200 28.57% (6/21)
201+ 4.76% (1/21)

Winning margin
By 1-2 points 4.76% (1/21)
By 3-6 points 14.29% (3/21)
By 7-9 points 19.05% (4/21)
By 10-13 points 4.76% (1/21)
By 14-16 points 4.76% (1/21)
By 17-20 points 0% (0/21)
By 21+ points 14.29% (3/21)

Points scored/game 84.57
Points received/game 80.76
Points/game 165.33

  1st quarter 2nd quarter 3rd quarter Final
Won 57.14% (12/21) 52.38% (11/21) 47.62% (10/21) 52.38% (11/21)
Ties 4.76% (1/21) 4.76% (1/21) 4.76% (1/21) 0% (0/21)
Lost 38.1% (8/21) 42.86% (9/21) 47.62% (10/21) 38.1% (8/21)

No. of points in quarters
First 24.11% (837/3472)
Second 24.6% (854/3472)
Third 26.7% (927/3472)
Fourth 23.62% (820/3472)

League tables

Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Virtus Bologna 20 17 1 0 2 1719:1500 +219 36 +7
2 Sassari 21 16 0 0 5 1796:1594 +202 32 +1
3 Brescia 21 14 0 0 7 1707:1554 +153 28 +1
4 Milano 21 14 0 0 7 1687:1555 +132 28 +3
5 Brindisi 21 11 2 0 8 1776:1696 +80 26 +1
6 Vanoli Cremona 20 12 0 0 8 1627:1617 +10 24 -1
7 Fortitudo Bologna 21 10 1 0 10 1624:1670 -46 22 +1
8 Venezia 21 11 0 1 9 1638:1582 +56 22 +1
9 Pallacanestro Trento 21 10 1 0 10 1635:1665 -30 22 +3
10 Regio Emilia 21 9 0 0 12 1741:1763 -22 18 -2
11 Cantů 20 9 0 2 9 1533:1580 -47 18 -1
12 Varese 19 8 1 0 10 1570:1522 +48 18 -1
13 Benetton Treviso 21 8 0 0 13 1620:1664 -44 16 -1
14 Roma 22 7 0 1 14 1727:1880 -153 14 -9
15 Pistoia 22 7 0 0 15 1639:1832 -193 14 -1
16 Pallacanestro Trieste 22 7 0 1 14 1671:1770 -99 14 +1
17 Scavolini Pesaro 20 1 0 1 18 1583:1849 -266 2 -3
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Virtus Bologna 10 10 0 0 0 881:734 +147 20 +10
2 Venezia 11 9 0 0 2 832:763 +69 18 +1
3 Brescia 11 9 0 0 2 937:824 +113 18 +1
4 Vanoli Cremona 10 9 0 0 1 855:806 +49 18 +7
5 Fortitudo Bologna 11 9 0 0 2 915:847 +68 18 +2
6 Milano 11 8 0 0 3 929:825 +104 16 +2
7 Sassari 10 8 0 0 2 883:775 +108 16 -1
8 Varese 9 6 1 0 2 795:690 +105 14 +1
9 Brindisi 10 6 1 0 3 842:771 +71 14 -1
10 Benetton Treviso 10 6 0 0 4 798:797 +1 12 +1
11 Pistoia 11 6 0 0 5 864:864 0 12 +1
12 Regio Emilia 10 6 0 0 4 819:818 +1 12 +1
13 Pallacanestro Trento 11 6 0 0 5 856:832 +24 12 +2
14 Pallacanestro Trieste 11 5 0 1 5 858:889 -31 10 +2
15 Roma 11 4 0 0 7 844:915 -71 8 -4
16 Cantů 10 4 0 2 4 785:815 -30 8 +1
17 Scavolini Pesaro 10 0 0 1 9 746:889 -143 0 -10
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Virtus Bologna 10 7 1 0 2 838:766 +72 16 +3
2 Sassari 11 8 0 0 3 913:819 +94 16 +1
3 Milano 10 6 0 0 4 758:730 +28 12 +2
4 Brindisi 11 5 1 0 5 934:925 +9 12 +3
5 Pallacanestro Trento 10 4 1 0 5 779:833 -54 10 +3
6 Cantů 10 5 0 0 5 748:765 -17 10 -2
7 Brescia 10 5 0 0 5 770:730 +40 10 -1
8 Regio Emilia 11 3 0 0 8 922:945 -23 6 -2
9 Roma 11 3 0 1 7 883:965 -82 6 -5
10 Vanoli Cremona 10 3 0 0 7 772:811 -39 6 -1
11 Pallacanestro Trieste 11 2 0 0 9 813:881 -68 4 -2
12 Venezia 10 2 0 1 7 806:819 -13 4 -1
13 Benetton Treviso 11 2 0 0 9 822:867 -45 4 -1
14 Varese 10 2 0 0 8 775:832 -57 4 -2
15 Fortitudo Bologna 10 1 1 0 8 709:823 -114 4 -5
16 Scavolini Pesaro 10 1 0 0 9 837:960 -123 2 -1
17 Pistoia 11 1 0 0 10 775:968 -193 2 -1

Here you can check how Milano compares to Brindisi 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.