Sun, 2017 October 22. @ 21:04 (Europe/Berlin) | Change timezone

Naestved FOG


Game Date Home Score Away 1 X 2
1 2017.09.21 Naestved FOG 75 : 56 Copenhagen Wolfpack 1.00 - 17.00
2 2017.09.26 Stevnsgade SuperMen 91 : 94 Naestved FOG 16.00 - 1.01
3 2017.10.01 Naestved FOG 83 : 60 Svendborg Rabbits 1.35 - 2.93
2 2017.10.04 Horsens IC 77 : 61 Naestved FOG 1.34 - 2.97
5 2017.10.12 Naestved FOG 86 : 80 Horsholm 1.54 - 2.28
4  2017.10.26 Randers Cimbria - : - Naestved FOG - - -
7  2017.11.02 Naestved FOG - : - Horsens IC - - -
8  2017.11.08 Horsholm - : - Naestved FOG - - -


  Season progress graph Form
Home Home 36
Away Season progress graph 16
Overall Season progress graph 35

Horsholm


Game Date Home Score Away 1 X 2
1 2017.09.20 Horsholm 123 : 71 Stevnsgade SuperMen 1.00 - 17.00
1 2017.09.27 Svendborg Rabbits 69 : 89 Horsholm 1.73 - 1.95
3 2017.10.07 Horsholm 94 : 80 Copenhagen Wolfpack 1.02 - 9.75
5 2017.10.12 Naestved FOG 86 : 80 Horsholm 1.54 - 2.28
5 2017.10.18 Horsholm 104 : 111 ot Svendborg Rabbits 1.28 - 3.23
3  2017.10.28 Bakken Bears - : - Horsholm - - -
6  2017.10.31 Stevnsgade SuperMen - : - Horsholm - - -
8  2017.11.08 Horsholm - : - Naestved FOG - - -


  Season progress graph Form
Home Home 21
Away Season progress graph 16
Overall Season progress graph 20

Mutual matches

Date Home Score Away 1 X 2
2017.10.12 Naestved FOG 86 : 80 Horsholm 1.54 - 2.28
2017.02.22 Horsholm 71 : 68 Naestved FOG 2.10 10.50 1.82
2017.02.01 Horsholm 82 : 77 Naestved FOG 2.51 14.08 1.56
2017.01.04 Naestved FOG 92 : 86 ot Horsholm 1.33 11.00 3.50
2016.11.28 Naestved FOG 64 : 71 Horsholm 1.25 11.00 3.90
2016.04.21 Naestved FOG 81 : 70 Horsholm 1.52 11.00 2.65
2016.01.27 Horsholm 78 : 63 Naestved FOG 2.30 9.00 1.62
2016.01.24 Naestved FOG 97 : 76 Horsholm 1.48 9.00 2.60
2016.01.07 Naestved FOG 71 : 69 ot Horsholm 1.17 10.50 4.80
2015.10.27 Horsholm 77 : 81 Naestved FOG 3.13 - 1.32
2015.02.26 Naestved FOG 70 : 74 Horsholm 1.28 17.00 3.60
2014.12.30 Naestved FOG 92 : 81 Horsholm 1.34 - 3.00
2014.10.29 Horsholm 82 : 84 Naestved FOG 2.60 17.00 1.48
2014.02.12 Horsholm 90 : 92 Naestved FOG 1.55 17.00 2.35
2014.01.08 Naestved FOG 77 : 73 Horsholm 2.10 - 1.65
2013.10.09 Horsholm 86 : 74 Naestved FOG 1.75 15.00 2.02
2013.01.30 Horsholm 84 : 83 Naestved FOG 1.78 15.00 2.00
2012.11.10 Horsholm 78 : 97 Naestved FOG 2.45 17.00 1.50
2012.09.27 Naestved FOG 66 : 52 Horsholm 1.09 19.00 6.50
2012.03.21 Naestved FOG 77 : 56 Horsholm 1.45 17.00 2.60
2012.03.19 Horsholm 93 : 90 ot Naestved FOG 2.05 15.00 1.73
2012.03.15 Naestved FOG 65 : 77 Horsholm 1.24 19.00 3.80
2012.03.12 Horsholm 73 : 74 Naestved FOG 2.45 17.00 1.50
2012.03.08 Naestved FOG 75 : 73 ot Horsholm 1.17 19.00 4.50
2012.01.21 Horsholm 77 : 86 Naestved FOG 2.20 - 1.59
2011.11.20 Naestved FOG 88 : 82 Horsholm - - -
2011.10.19 Naestved FOG 77 : 84 Horsholm - - -
2011.02.19 Horsholm 57 : 58 Naestved FOG - - -
2010.11.28 Horsholm 65 : 72 Naestved FOG 2.55 - 1.45
2010.09.30 Naestved FOG 50 : 64 Horsholm 1.42 - 2.65
2010.03.15 Naestved FOG 74 : 75 Horsholm 1.65 - 2.10
2010.03.10 Horsholm 81 : 70 Naestved FOG 1.90 - 1.80
2010.03.04 Naestved FOG 72 : 67 Horsholm 2.02 - 1.70
2010.01.14 Horsholm 62 : 60 Naestved FOG 2.00 - 1.72
2009.11.04 Naestved FOG 72 : 64 Horsholm - - -
2009.02.21 Horsholm 99 : 96 ot Naestved FOG - - -
2008.11.20 Naestved FOG 89 : 80 ot Horsholm - - -
2008.01.19 Horsholm 81 : 71 Naestved FOG - - -
2007.11.17 Naestved FOG 77 : 71 Horsholm - - -
2007.11.07 Horsholm 85 : 83 Naestved FOG - - -

Form difference

  Form difference
Home-Away 20
Overall 15
Prediction Home Win

Naestved FOG

Total points/game
< 140 40% (2/5)
141 - 170 40% (2/5)
171 - 200 20% (1/5)
201+ 0% (0/5)

Winning margin
By 1-2 points 0% (0/5)
By 3-6 points 40% (2/5)
By 7-9 points 0% (0/5)
By 10-13 points 0% (0/5)
By 14-16 points 0% (0/5)
By 17-20 points 20% (1/5)
By 21+ points 20% (1/5)

Points scored/game 79.80
Points received/game 72.80
Points/game 152.60

  1st quarter 2nd quarter 3rd quarter Final
Won 60% (3/5) 60% (3/5) 60% (3/5) 80% (4/5)
Ties 0% (0/5) 0% (0/5) 40% (2/5) 0% (0/5)
Lost 40% (2/5) 40% (2/5) 0% (0/5) 20% (1/5)

No. of points in quarters
First 23.85% (182/763)
Second 27.39% (209/763)
Third 21.1% (161/763)
Fourth 27.65% (211/763)

Horsholm

Total points/game
< 140 0% (0/5)
141 - 170 40% (2/5)
171 - 200 40% (2/5)
201+ 20% (1/5)

Winning margin
By 1-2 points 0% (0/5)
By 3-6 points 0% (0/5)
By 7-9 points 0% (0/5)
By 10-13 points 0% (0/5)
By 14-16 points 20% (1/5)
By 17-20 points 20% (1/5)
By 21+ points 20% (1/5)

Points scored/game 98.00
Points received/game 83.40
Points/game 181.40

  1st quarter 2nd quarter 3rd quarter Final
Won 80% (4/5) 60% (3/5) 40% (2/5) 60% (3/5)
Ties 0% (0/5) 20% (1/5) 0% (0/5) 0% (0/5)
Lost 20% (1/5) 20% (1/5) 60% (3/5) 20% (1/5)

No. of points in quarters
First 22.93% (208/907)
Second 23.7% (215/907)
Third 20.95% (190/907)
Fourth 26.13% (237/907)

League tables

Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Horsens IC 5 3 1 0 1 424:389 +35 8 +2
2 Naestved FOG 5 4 0 0 1 399:364 +35 8 +1
3 Horsholm 5 3 0 1 1 490:417 +73 6 -2
4 Randers Cimbria 3 2 0 0 1 273:223 +50 4 +2
5 Bakken Bears 2 2 0 0 0 172:129 +43 4 +2
6 Svendborg Rabbits 5 1 1 1 2 426:452 -26 4 +1
7 Copenhagen Wolfpack 5 0 0 0 5 354:457 -103 0 -5
8 Stevnsgade SuperMen 4 0 0 0 4 296:403 -107 0 -4
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Horsens IC 3 2 1 0 0 257:226 +31 6 +3
2 Naestved FOG 3 3 0 0 0 244:196 +48 6 +3
3 Horsholm 3 2 0 1 0 321:262 +59 4 -1
4 Randers Cimbria 1 1 0 0 0 89:67 +22 2 +1
5 Bakken Bears 1 1 0 0 0 81:78 +3 2 +1
6 Svendborg Rabbits 2 1 0 0 1 177:174 +3 2 +1
7 Copenhagen Wolfpack 2 0 0 0 2 133:180 -47 0 -2
8 Stevnsgade SuperMen 2 0 0 0 2 158:191 -33 0 -2
Pos Name Pld W WO LO L PS:PA PD Pts Streak
1 Randers Cimbria 2 1 0 0 1 184:156 +28 2 +1
2 Horsholm 2 1 0 0 1 169:155 +14 2 -1
3 Bakken Bears 1 1 0 0 0 91:51 +40 2 +1
4 Svendborg Rabbits 3 0 1 1 1 249:278 -29 2 +1
5 Horsens IC 2 1 0 0 1 167:163 +4 2 +1
6 Naestved FOG 2 1 0 0 1 155:168 -13 2 -1
7 Copenhagen Wolfpack 3 0 0 0 3 221:277 -56 0 -3
8 Stevnsgade SuperMen 2 0 0 0 2 138:212 -74 0 -2

Here you can check how Naestved FOG compares to Horsholm by stats. The data is calculated based on matches from 1st League M. This can be very useful in predicting the outcome of the next match.