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Silkeborg 2 - 0 Fredericia

12.12.2020 - 06:30

Stadium: JYSK park

Finished

Over Under Goals

#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

322063%56%69%
2
Silkeborg Team Logo

Silkeborg

321959%50%69%
3
Hobro Team Logo

Hobro

321856%63%50%
4
Viborg Team Logo

Viborg

322063%75%50%
5
Esbjerg Team Logo

Esbjerg

321650%50%50%
6
Fremad Amager Team Logo

Fremad Amager

321856%56%56%
7
Fredericia Team Logo

Fredericia

321959%44%75%
8
HB Køge Team Logo

HB Køge

321650%56%44%
9
Skive W Team Logo

Skive W

321959%56%63%
10
Vendsyssel Team Logo

Vendsyssel

321753%44%63%
11
Hvidovre Team Logo

Hvidovre

321753%69%38%
12
Kolding IF Team Logo

Kolding IF

321341%44%38%
#TeamMPOver 0.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

323094%94%94%
2
Silkeborg Team Logo

Silkeborg

3232100%100%100%
3
Hobro Team Logo

Hobro

323094%100%88%
4
Viborg Team Logo

Viborg

3232100%100%100%
5
Esbjerg Team Logo

Esbjerg

323197%94%100%
6
Fremad Amager Team Logo

Fremad Amager

323094%88%100%
7
Fredericia Team Logo

Fredericia

3232100%100%100%
8
HB Køge Team Logo

HB Køge

323094%94%94%
9
Skive W Team Logo

Skive W

323094%94%94%
10
Vendsyssel Team Logo

Vendsyssel

323197%100%94%
11
Hvidovre Team Logo

Hvidovre

323197%94%100%
12
Kolding IF Team Logo

Kolding IF

322991%94%88%
#TeamMPOver 1.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

322578%69%88%
2
Silkeborg Team Logo

Silkeborg

322888%100%75%
3
Hobro Team Logo

Hobro

322681%94%69%
4
Viborg Team Logo

Viborg

322784%88%81%
5
Esbjerg Team Logo

Esbjerg

322578%75%81%
6
Fremad Amager Team Logo

Fremad Amager

322681%69%94%
7
Fredericia Team Logo

Fredericia

322681%75%88%
8
HB Køge Team Logo

HB Køge

322475%81%69%
9
Skive W Team Logo

Skive W

322784%81%88%
10
Vendsyssel Team Logo

Vendsyssel

322681%69%94%
11
Hvidovre Team Logo

Hvidovre

322681%88%75%
12
Kolding IF Team Logo

Kolding IF

322681%88%75%
#TeamMPOver 1.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

32722%19%25%
2
Silkeborg Team Logo

Silkeborg

321134%31%38%
3
Hobro Team Logo

Hobro

32928%31%25%
4
Viborg Team Logo

Viborg

321134%56%13%
5
Esbjerg Team Logo

Esbjerg

32825%25%25%
6
Fremad Amager Team Logo

Fremad Amager

32928%38%19%
7
Fredericia Team Logo

Fredericia

32722%13%31%
8
HB Køge Team Logo

HB Køge

32722%6%38%
9
Skive W Team Logo

Skive W

32928%38%19%
10
Vendsyssel Team Logo

Vendsyssel

32619%0%38%
11
Hvidovre Team Logo

Hvidovre

32722%19%25%
12
Kolding IF Team Logo

Kolding IF

32516%25%6%
#TeamMPOver 1.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

32516%13%19%
2
Silkeborg Team Logo

Silkeborg

32825%25%25%
3
Hobro Team Logo

Hobro

3239%13%6%
4
Viborg Team Logo

Viborg

3239%19%0%
5
Esbjerg Team Logo

Esbjerg

3213%0%6%
6
Fremad Amager Team Logo

Fremad Amager

3239%19%0%
7
Fredericia Team Logo

Fredericia

3226%0%13%
8
HB Køge Team Logo

HB Køge

3239%6%13%
9
Skive W Team Logo

Skive W

3226%6%6%
10
Vendsyssel Team Logo

Vendsyssel

3239%0%19%
11
Hvidovre Team Logo

Hvidovre

3239%6%13%
12
Kolding IF Team Logo

Kolding IF

32413%19%6%
#TeamMPOver 1.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

32413%13%13%
2
Silkeborg Team Logo

Silkeborg

32619%13%25%
3
Hobro Team Logo

Hobro

3226%6%6%
4
Viborg Team Logo

Viborg

3226%13%0%
5
Esbjerg Team Logo

Esbjerg

3200%0%0%
6
Fremad Amager Team Logo

Fremad Amager

3226%13%0%
7
Fredericia Team Logo

Fredericia

3200%0%0%
8
HB Køge Team Logo

HB Køge

3213%0%6%
9
Skive W Team Logo

Skive W

3213%0%6%
10
Vendsyssel Team Logo

Vendsyssel

3213%0%6%
11
Hvidovre Team Logo

Hvidovre

3226%6%6%
12
Kolding IF Team Logo

Kolding IF

3239%13%6%
#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

321238%44%31%
2
Silkeborg Team Logo

Silkeborg

321341%50%31%
3
Hobro Team Logo

Hobro

321444%38%50%
4
Viborg Team Logo

Viborg

321238%25%50%
5
Esbjerg Team Logo

Esbjerg

321650%50%50%
6
Fremad Amager Team Logo

Fremad Amager

321444%44%44%
7
Fredericia Team Logo

Fredericia

321341%56%25%
8
HB Køge Team Logo

HB Køge

321650%44%56%
9
Skive W Team Logo

Skive W

321341%44%38%
10
Vendsyssel Team Logo

Vendsyssel

321547%56%38%
11
Hvidovre Team Logo

Hvidovre

321547%31%63%
12
Kolding IF Team Logo

Kolding IF

321959%56%63%
#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

3226%6%6%
2
Silkeborg Team Logo

Silkeborg

3200%0%0%
3
Hobro Team Logo

Hobro

3226%0%13%
4
Viborg Team Logo

Viborg

3200%0%0%
5
Esbjerg Team Logo

Esbjerg

3213%6%0%
6
Fremad Amager Team Logo

Fremad Amager

3226%13%0%
7
Fredericia Team Logo

Fredericia

3200%0%0%
8
HB Køge Team Logo

HB Køge

3226%6%6%
9
Skive W Team Logo

Skive W

3226%6%6%
10
Vendsyssel Team Logo

Vendsyssel

3213%0%6%
11
Hvidovre Team Logo

Hvidovre

3213%6%0%
12
Kolding IF Team Logo

Kolding IF

3239%6%13%
#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

32722%31%13%
2
Silkeborg Team Logo

Silkeborg

32413%0%25%
3
Hobro Team Logo

Hobro

32619%6%31%
4
Viborg Team Logo

Viborg

32516%13%19%
5
Esbjerg Team Logo

Esbjerg

32722%25%19%
6
Fremad Amager Team Logo

Fremad Amager

32619%31%6%
7
Fredericia Team Logo

Fredericia

32619%25%13%
8
HB Køge Team Logo

HB Køge

32825%19%31%
9
Skive W Team Logo

Skive W

32516%19%13%
10
Vendsyssel Team Logo

Vendsyssel

32619%31%6%
11
Hvidovre Team Logo

Hvidovre

32619%13%25%
12
Kolding IF Team Logo

Kolding IF

32619%13%25%
#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

322578%81%75%
2
Silkeborg Team Logo

Silkeborg

322166%69%63%
3
Hobro Team Logo

Hobro

322372%69%75%
4
Viborg Team Logo

Viborg

322166%44%88%
5
Esbjerg Team Logo

Esbjerg

322475%75%75%
6
Fremad Amager Team Logo

Fremad Amager

322372%63%81%
7
Fredericia Team Logo

Fredericia

322578%88%69%
8
HB Køge Team Logo

HB Køge

322578%94%63%
9
Skive W Team Logo

Skive W

322372%63%81%
10
Vendsyssel Team Logo

Vendsyssel

322681%100%63%
11
Hvidovre Team Logo

Hvidovre

322578%81%75%
12
Kolding IF Team Logo

Kolding IF

322784%75%94%
#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

322784%88%81%
2
Silkeborg Team Logo

Silkeborg

322475%75%75%
3
Hobro Team Logo

Hobro

322991%88%94%
4
Viborg Team Logo

Viborg

322991%81%100%
5
Esbjerg Team Logo

Esbjerg

323197%100%94%
6
Fremad Amager Team Logo

Fremad Amager

322991%81%100%
7
Fredericia Team Logo

Fredericia

323094%100%88%
8
HB Køge Team Logo

HB Køge

322991%94%88%
9
Skive W Team Logo

Skive W

323094%94%94%
10
Vendsyssel Team Logo

Vendsyssel

322991%100%81%
11
Hvidovre Team Logo

Hvidovre

322991%94%88%
12
Kolding IF Team Logo

Kolding IF

322888%81%94%
#TeamMPOver 2.5OverallHomeAway
1
FC Helsingør Team Logo

FC Helsingør

322888%88%88%
2
Silkeborg Team Logo

Silkeborg

322681%88%75%
3
Hobro Team Logo

Hobro

323094%94%94%
4
Viborg Team Logo

Viborg

323094%88%100%
5
Esbjerg Team Logo

Esbjerg

3232100%100%100%
6
Fremad Amager Team Logo

Fremad Amager

323094%88%100%
7
Fredericia Team Logo

Fredericia

3232100%100%100%
8
HB Køge Team Logo

HB Køge

323197%100%94%
9
Skive W Team Logo

Skive W

323197%100%94%
10
Vendsyssel Team Logo

Vendsyssel

323197%100%94%
11
Hvidovre Team Logo

Hvidovre

323094%94%94%
12
Kolding IF Team Logo

Kolding IF

322991%88%94%

You can check out how often Silkeborg and Fredericia matches in the 1st Division go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.

Here is an example of what we mean:

88% of Silkeborg’s matches in the 1st Division have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 59%.

You can also check how many times the total has gone under. In Fredericia’s case, 19% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 41%.

You can also see whether Silkeborg and Fredericia matches go over or under a total number of goals when playing at home, away, or overall in 1st Division.

The over/under goal analysis for Silkeborg vs Fredericia offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.

However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.