Tue, 2021 December 07. @ 07:25 (Europe/Berlin) | Change timezone

Odense HC vs. Silkeborg

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1st League W 2021/2022


Odense HC


Game Date Home Score Away 1 X 2
1 2021.09.01 Silkeborg 21 : 34 Odense HC 6.67 15.33 1.16
2 2021.09.04 Odense HC 33 : 25 Esbjerg 2.00 7.92 2.18
3 2021.09.07 Skanderborg 15 : 31 Odense HC 17.00 30.00 1.01
4 2021.09.15 Odense HC 35 : 18 Ringkobing 1.01 30.67 18.00
5 2021.09.21 Arhus SK 22 : 31 Odense HC 9.33 15.67 1.10
6 2021.10.02 Odense HC 30 : 25 Horsens HK 1.06 21.00 11.67
7 2021.10.13 Ikast/Bording EH 24 : 30 Odense HC 2.12 7.83 2.08
8 2021.10.20 Odense HC 30 : 24 Randers HK 1.03 23.33 15.33
9 2021.10.27 Nykobing NFH 22 : 31 Odense HC 5.92 12.67 1.21
10 2021.11.03 Odense HC 29 : 23 Viborg HK 1.49 9.42 3.32
11 2021.11.06 Odense HC 33 : 25 Ajax Kobenhavn 1.02 26.00 16.33
12 2021.11.09 FCK Handbold 24 : 28 Odense HC 4.63 12.17 1.28
13 2021.11.17 Odense HC 34 : 19 Tvis Holstebro 1.01 29.33 18.00


  Season progress graph Form
Home Home 45
Away Season progress graph 60
Overall Season progress graph 50

Silkeborg


Game Date Home Score Away 1 X 2
1 2021.09.01 Silkeborg 21 : 34 Odense HC 6.67 15.33 1.16
2 2021.09.04 FCK Handbold 27 : 27 Silkeborg 1.28 10.33 5.08
3 2021.09.10 Silkeborg 29 : 19 Tvis Holstebro 1.17 14.00 6.50
4 2021.09.18 Ajax Kobenhavn 27 : 24 Silkeborg 2.95 8.83 1.60
5 2021.09.22 Esbjerg 34 : 31 Silkeborg 1.05 20.33 12.17
6 2021.10.01 Silkeborg 30 : 24 Skanderborg 1.17 13.67 6.50
7 2021.10.15 Ringkobing 24 : 26 Silkeborg 5.17 11.50 1.26
8 2021.10.22 Silkeborg 26 : 26 Arhus SK 1.60 8.83 2.95
9 2021.10.27 Horsens HK 28 : 31 Silkeborg 1.98 8.17 2.23
10 2021.11.03 Silkeborg 29 : 29 Ikast/Bording EH 4.35 11.83 1.31
11 2021.11.06 Randers HK 30 : 33 Silkeborg 4.07 10.25 1.36
12 2021.11.12 Silkeborg 34 : 36 Nykobing NFH 1.42 9.92 3.67
13 2021.11.17 Viborg HK 33 : 27 Silkeborg 1.17 14.67 6.33


  Season progress graph Form
Home Home 16
Away Season progress graph 36
Overall Season progress graph 18

Mutual matches

Date Home Score Away 1 X 2
2021.09.01 Silkeborg 21 : 34 Odense HC 6.67 15.33 1.16
2021.02.17 Odense HC 32 : 23 Silkeborg 1.09 18.00 9.50
2020.10.21 Silkeborg 18 : 28 Odense HC 6.50 13.00 1.17
2020.02.05 Odense HC 30 : 28 Silkeborg 1.12 14.75 7.94
2019.10.02 Silkeborg 20 : 30 Odense HC 5.50 12.00 1.22
2019.02.13 Silkeborg 22 : 29 Odense HC 7.25 14.50 1.14
2018.10.11 Odense HC 36 : 20 Silkeborg 1.07 19.00 12.50
2018.04.21 Odense HC 32 : 21 Silkeborg 1.38 9.75 3.80
2018.03.29 Silkeborg 27 : 27 Odense HC 4.08 10.38 1.35
2018.02.01 Silkeborg 23 : 31 Odense HC 3.29 9.75 1.46
2017.10.11 Odense HC 25 : 24 Silkeborg 1.18 13.00 6.22
2017.03.24 Silkeborg 27 : 20 Odense HC 1.32 9.67 4.33
2017.01.04 Odense HC 18 : 28 Silkeborg 1.43 9.88 3.48
2016.02.12 Silkeborg 17 : 31 Odense HC 2.05 8.75 2.06
2015.10.22 Odense HC 13 : 15 Silkeborg 1.54 9.63 3.00
2015.01.03 Odense HC 28 : 24 Silkeborg 1.29 11.13 4.45
2014.10.15 Silkeborg 26 : 20 Odense HC 1.82 9.06 2.31
2012.02.25 Odense HC 27 : 24 Silkeborg 1.64 9.25 2.63
2011.10.28 Silkeborg 18 : 13 Odense HC 1.98 8.33 2.12

Form difference

  Form difference
Home-Away 9
Overall 32
Prediction Draw/no bet

Odense HC

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 14.29% (1/7) 85.71% (6/7) 57.14% (4/7) 42.86% (3/7)
Away 33.33% (2/6) 66.67% (4/6) 50% (3/6) 50% (3/6)
Overall 23.08% (3/13) 76.92% (10/13) 53.85% (7/13) 46.15% (6/13)

Winning margin
By 1-2 goals 0% (0/13)
By 3-5 goals 7.69% (1/13)
By 6-10 goals 30.77% (4/13)
By 11+ goals 61.54% (8/13)

Goals scored/game 31.46
Goals received/game 22.08
Goals/game 53.54

  Halftime Final
Won 76.92% (10/13) 100% (13/13)
Ties 7.69% (1/13) 0% (0/13)
Lost 15.38% (2/13) 0% (0/13)

Number of goals in halves
First 48.99% (341/696)
Second 51.01% (355/696)

Silkeborg

  Under 52.5 percentage Over 52.5 percentage Nr of goals even Nr of goals odd
Home 33.33% (2/6) 66.67% (4/6) 83.33% (5/6) 16.67% (1/6)
Away 28.57% (2/7) 71.43% (5/7) 42.86% (3/7) 57.14% (4/7)
Overall 30.77% (4/13) 69.23% (9/13) 61.54% (8/13) 38.46% (5/13)

Winning margin
By 1-2 goals 0% (0/13)
By 3-5 goals 0% (0/13)
By 6-10 goals 15.38% (2/13)
By 11+ goals 23.08% (3/13)

Goals scored/game 28.31
Goals received/game 28.54
Goals/game 56.85

  Halftime Final
Won 46.15% (6/13) 38.46% (5/13)
Ties 15.38% (2/13) 23.08% (3/13)
Lost 38.46% (5/13) 38.46% (5/13)

Number of goals in halves
First 49.53% (366/739)
Second 50.47% (373/739)

Groups

Pos Name Pld W D L GF:GA GD Pts
Regular Season
1 Odense HC 13 13 0 0 409:287 +122 26
2 Viborg HK 13 11 0 2 403:346 +57 22
3 Esbjerg 13 11 0 2 426:343 +83 22
4 Ikast/Bording EH 13 9 1 3 391:315 +76 19
5 Nykobing NFH 13 7 0 6 367:373 -6 14
6 Silkeborg 13 5 3 5 368:371 -3 13
7 FCK Handbold 13 6 1 6 358:361 -3 13
8 Horsens HK 13 6 0 7 338:336 +2 12
9 Skanderborg 13 4 1 8 301:359 -58 9
10 Arhus SK 13 4 1 8 327:346 -19 9
11 Ajax Kobenhavn 13 4 1 8 317:368 -51 9
12 Randers HK 13 4 0 9 337:352 -15 8
13 Ringkobing 13 3 0 10 320:387 -67 6
14 Tvis Holstebro 13 0 0 13 292:410 -118 0
Pos Name Pld W D L GF:GA GD Pts
Regular Season
1 Odense HC 7 7 0 0 224:159 +65 14
2 Viborg HK 7 6 0 1 213:184 +29 12
3 Ikast/Bording EH 7 5 0 2 223:175 +48 10
4 Esbjerg 6 5 0 1 198:165 +33 10
5 Nykobing NFH 7 4 0 3 192:188 +4 8
6 FCK Handbold 6 3 1 2 160:157 +3 7
7 Ajax Kobenhavn 6 3 1 2 154:157 -3 7
8 Arhus SK 7 3 0 4 184:182 +2 6
9 Horsens HK 7 3 0 4 181:179 +2 6
10 Silkeborg 6 2 2 2 169:168 +1 6
11 Ringkobing 6 2 0 4 153:165 -12 4
12 Skanderborg 6 2 0 4 133:164 -31 4
13 Randers HK 7 1 0 6 181:198 -17 2
14 Tvis Holstebro 6 0 0 6 150:198 -48 0
Pos Name Pld W D L GF:GA GD Pts
Regular Season
1 Esbjerg 7 6 0 1 228:178 +50 12
2 Odense HC 6 6 0 0 185:128 +57 12
3 Viborg HK 6 5 0 1 190:162 +28 10
4 Ikast/Bording EH 6 4 1 1 168:140 +28 9
5 Silkeborg 7 3 1 3 199:203 -4 7
6 FCK Handbold 7 3 0 4 198:204 -6 6
7 Nykobing NFH 6 3 0 3 175:185 -10 6
8 Horsens HK 6 3 0 3 157:157 0 6
9 Randers HK 6 3 0 3 156:154 +2 6
10 Skanderborg 7 2 1 4 168:195 -27 5
11 Arhus SK 6 1 1 4 143:164 -21 3
12 Ringkobing 7 1 0 6 167:222 -55 2
13 Ajax Kobenhavn 7 1 0 6 163:211 -48 2
14 Tvis Holstebro 7 0 0 7 142:212 -70 0

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