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Fredericia - Silkeborg 17.05.2026

Fredericia FRE

Match details

Silkeborg SIL
Fredericia FRE

Statistics

Silkeborg SIL
2.55
Expected goals (xG) stat-tooltip-icon Expected goals xG - measures the quality of a scoring chance and the probability of it becoming a goal. It's calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team's total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
1.71
62 %
Ball possession
38 %
3
Big chances stat-tooltip-icon Big chances - counts clear scoring opportunities where a goal is highly expected. These are situations like one-on-one with the goalkeeper, close-range shots with little defensive pressure, or shots into an open goal.
1
10 Matches

2 - Wins

4 - Draws

4 - Losses

10 Matches

Wins - 5

Draws - 2

Losses - 3

  • 50% 5/10
  • Both team to score
  • 5/10 50%
  • 42%
  • Ball possession
  • 46%
  • 13 1.3
  • Goals scored per match
  • 17 1.7
  • 9.42 0.94
  • xG (Expected Goals) per match
  • 8.05 0.81
  • 19 1.9
  • Goals conceded per match
  • 20 2
  • 15.18 1.52
  • Expected goals conceded (xCG) per match
  • 14.95 1.50
Fredericia FRE

H2H Stats

Silkeborg SIL
  • 80% 4wins
  • 20% 1draws
  • 0wins

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Top Scorers



hostName Fredericia
#
Goals
  • 97 Buch O.
    6
  • 16 Johannesen S.
    6
  • 25 Etim
    5
  • 21 Lindekilde J.
    5
  • 7 Marcussen G.
    4
guestName Silkeborg
#
Goals
  • 23 Adamsen T.
    14
  • 17 McCowatt C.
    11
  • 19 Gammelby J.
    5
  • 10 Bakiz Y.
    2
  • 4 Ganchas P.
    2

Match facts

The most common result of matches between FC Fredericia and Silkeborg IF when FC Fredericia is playing at home is 0-1. 4 matches have ended with this result.

During the last 14 meetings with FC Fredericia playing at home, FC Fredericia have won 3 times, there have been 2 draws while Silkeborg IF have won 9 times. The goal difference is 21-13 in favour of Silkeborg IF.

During the last 26 meetings, FC Fredericia have won 6 times, there have been 3 draws while Silkeborg IF have won 17 times. The goal difference is 46-23 in favour of Silkeborg IF.

Silkeborg IF have a winning streak of 3 matches in Superliga.

More facts

Predictions

As part of the Superliga (Denmark) tournament, the match between teams Fredericia and Silkeborg is scheduled. The game will start on 17.05 at 08:00. All sports bettors can follow in-depth Fredericia Silkeborg betting tips using the subsequent analysis of teams' statistics and prediction for the match.

6 / 10 of last matches in all competitions Fredericia did not draw

6 / 10 of last matches in Superliga Fredericia did not draw

8 / 10 of the last matches between the teams ended in a win

8 / 10 of last matches in all competitions Silkeborg did not draw

8 / 10 of last matches in Superliga Silkeborg did not draw

4 / 10 of last matches Fredericia in all competitions, at least one team did not score

Fredericia FRE

Standings

Silkeborg SIL
# Group Championship Round GP W D L G GD P
1 32 19 10 3 62:32 30 67
2 32 16 12 4 72:36 36 60
# Group Relegation Round GP W D L G GD P
2 32 11 8 13 51:60 -9 41
3 32 10 6 16 41:67 -26 36
4 32 9 8 15 33:47 -14 35
5 32 9 7 16 45:68 -23 34
6 32 5 9 18 36:60 -24 24

Player Statistics

Overview
Shots
Attack
Defending
Goalkeeping
Overview
Player Grade Minutes played Goals xG Assists xA Total shots Passes Yellow cards Red cards
player
Jessen J.
Midfielder team
9.4 90 1 0.15 1 0.54 2 51/57(89%) - -
player
Andersen A.
Midfielder team
8.2 56 - - 1 0.13 - 56/59(95%) - -
player
Rieper F.
Defender team
8.1 90 - 0.03 - 0.05 1 84/90(93%) - -
player
Johannesen S.
Midfielder team
7.9 90 1 0.3 - 0.12 4 43/51(84%) - -
player
Birkso Thorsen V.
Goalkeeper team
7.9 90 - - - - - 13/13(100%) - -
player
Lindekilde J.
Defender team
7.9 90 1 0.86 1 0.05 6 41/51(80%) - -
player
Kirk W.
Midfielder team
7.4 90 1 0.3 - 0.14 3 18/20(90%) - -
player
Crone S.
Defender team
7.4 56 1 0.42 - 0.05 1 41/44(93%) - -
player
Etim
Forward team
7.3 88 - 0.5 - 0.5 5 14/21(67%) - -
player
Winther F.
Midfielder team
7.3 90 - 0.3 - 0.08 3 71/80(89%) - -
player
Kudsk J.
Defender team
7 56 - - - 0.01 - 65/68(96%) 1 -
player
Ganchas P.
Defender team
6.8 90 - 0.1 - 0.05 1 41/44(93%) - -
player
Westh V.
Midfielder team
6.7 45 - 0.02 - 0.02 1 13/19(68%) - -
player
Ladefoged M.
Defender team
6.4 34 - 0.02 - 0.02 1 38/38(100%) - -
player
Larsen M.
Midfielder team
6.4 88 - - - 0.02 - 44/48(92%) - -
player
McCowatt C.
Midfielder team
6.4 60 - 0.08 - 0.19 1 24/31(77%) - -
player
Dahl A.
Midfielder team
6.4 34 - - - 0.01 - 19/21(90%) - -
player
Hajal R.
Midfielder team
6.3 45 - 0.06 - 0.04 1 17/23(74%) - -
player
Nielsen J.
Midfielder team
6.3 30 - - - 0.01 - 16/20(80%) - -
player
Dall E.
Forward team
6.2 22 - - - 0.01 - 9/9(100%) - -
player
Stuker S.
Defender team
6.1 45 - - - 0.01 - 18/21(86%) 1 -
player
Madsen A.
Defender team
6 90 - - - 0.04 - 45/54(83%) - -
player
Larsen N.
Goalkeeper team
5.9 90 - - - - - 28/35(80%) - -
player
Ostrom R.
Defender team
5.8 90 - 0.11 - 0.02 1 24/32(75%) - -
player
Gammelby J.
Defender team
5.7 90 - 0.79 1 0.05 1 37/41(90%) - -
player
Berger S.
Midfielder team
5.6 45 - - - 0.02 - 19/21(90%) - -
player
Ross O.
Forward team
5.6 69 - - - 0.02 - 23/29(79%) - -
player
Andersen J.
Midfielder team
- 2 - - - - - 4/5(80%) - -
player
Marcussen G.
Midfielder team
- 2 - - - - - 2/2(100%) - -
xG - measures the quality of a scoring chance and the probability of it becoming a goal. It’s calculated from factors like shot location, angle, distance, assist type, and defensive pressure. Each shot gets a value from 0 to 1; a team’s total xG is the sum of all its shots. A penalty is usually worth ~0.79–0.80. Higher xG = better chances, regardless of whether goals were actually scored.
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Shots
Player Total shots Shots on target xGOT Shots off target Blocked shots Shots header Shots inside the Box Shots outside the Box
player
Lindekilde J.
Defender team
6 3 0.79 2 1 - 2 4
player
Etim
Forward team
5 2 0.05 2 1 2 5 -
player
Johannesen S.
Midfielder team
4 2 0.67 2 - - 4 -
player
Kirk W.
Midfielder team
3 1 0.71 1 1 - 1 2
player
Winther F.
Midfielder team
3 - - 1 2 1 2 1
player
Jessen J.
Midfielder team
2 1 0.54 - 1 - 1 1
player
Crone S.
Defender team
1 1 0.41 - - - 1 -
player
Gammelby J.
Defender team
1 1 0.78 - - - 1 -
player
Ganchas P.
Defender team
1 - - 1 - - 1 -
player
Hajal R.
Midfielder team
1 - - - 1 - 1 -
player
Ladefoged M.
Defender team
1 - - - 1 1 1 -
player
McCowatt C.
Midfielder team
1 - - 1 - - - 1
player
Ostrom R.
Defender team
1 1 0.59 - - - 1 -
player
Rieper F.
Defender team
1 - - 1 - 1 1 -
player
Westh V.
Midfielder team
1 - - - 1 - - 1
player
Andersen A.
Midfielder team
- - - - - - - -
player
Andersen J.
Midfielder team
- - - - - - - -
player
Berger S.
Midfielder team
- - - - - - - -
player
Birkso Thorsen V.
Goalkeeper team
- - - - - - - -
player
Dahl A.
Midfielder team
- - - - - - - -
player
Dall E.
Forward team
- - - - - - - -
player
Kudsk J.
Defender team
- - - - - - - -
player
Larsen M.
Midfielder team
- - - - - - - -
player
Larsen N.
Goalkeeper team
- - - - - - - -
player
Madsen A.
Defender team
- - - - - - - -
player
Marcussen G.
Midfielder team
- - - - - - - -
player
Nielsen J.
Midfielder team
- - - - - - - -
player
Ross O.
Forward team
- - - - - - - -
player
Stuker S.
Defender team
- - - - - - - -
xGOT - measures the likelihood that a shot on target results in a goal. Unlike xG (which evaluates the chance before the shot), xGOT assesses execution — shot placement, goalkeeper position, etc. — after the ball is struck. Only shots on target are included, each valued 0–1. A team’s total xGOT is the sum of all its on-target shots.
Attack
Player Touches in the opposition Box Passes Big chances created Big chances missed Assists xA Passes in final third Touches Passes long Crosses Successful dribbles Fouled Offsides
player
Etim
Forward team
11 14/21(67%) 1 1 - 0.5 10/16(63%) 34 1/1(100%) - 2/2(100%) - 1
player
Johannesen S.
Midfielder team
8 43/51(84%) - - - 0.12 22/29(76%) 72 1/1(50%) - 2/6(33%) 2 -
player
Jessen J.
Midfielder team
4 51/57(89%) 2 - 1 0.54 22/26(85%) 83 1/3(33%) 4/7(57%) 1/2(50%) - 1
player
McCowatt C.
Midfielder team
4 24/31(77%) - - - 0.19 14/16(88%) 40 1/3(33%) 2/4(50%) 1/1(100%) 1 -
player
Ganchas P.
Defender team
3 41/44(93%) 1 - - 0.05 7/7(100%) 64 7/7(100%) - 1/1(100%) 2 -
player
Ross O.
Forward team
3 23/29(79%) - - - 0.02 7/10(70%) 35 1/1(100%) - 1/1(100%) - -
player
Hajal R.
Midfielder team
2 17/23(74%) - - - 0.04 7/10(70%) 32 - - - 1 -
player
Kirk W.
Midfielder team
2 18/20(90%) - - - 0.14 3/3(100%) 39 - - - - -
player
Lindekilde J.
Defender team
2 41/51(80%) - 1 1 0.05 16/23(70%) 63 1/1(100%) - - - -
player
Winther F.
Midfielder team
2 71/80(89%) - - - 0.08 30/38(79%) 95 4/5(80%) - 2/2(100%) - -
player
Crone S.
Defender team
1 41/44(93%) - - - 0.05 13/14(93%) 51 1/2(50%) 1/1(100%) - 1 -
player
Dall E.
Forward team
1 9/9(100%) - - - 0.01 5/5(100%) 13 - - - - -
player
Gammelby J.
Defender team
1 37/41(90%) 1 1 1 0.05 13/13(100%) 53 2/3(50%) - 1/2(50%) - -
player
Ladefoged M.
Defender team
1 38/38(100%) - - - 0.02 6/6(100%) 43 - - - - -
player
Larsen M.
Midfielder team
1 44/48(92%) - - - 0.02 17/19(89%) 54 2/3(67%) - - - -
player
Ostrom R.
Defender team
1 24/32(75%) - 1 - 0.02 8/12(67%) 46 - - - - -
player
Rieper F.
Defender team
1 84/90(93%) - - - 0.05 17/23(74%) 97 7/10(70%) - - - -
player
Stuker S.
Defender team
1 18/21(86%) - - - 0.01 7/8(88%) 29 1/2(50%) - 1/1(100%) - 1
player
Westh V.
Midfielder team
1 13/19(68%) - - - 0.02 3/7(43%) 32 1/3(33%) - 2/2(100%) 1 -
player
Andersen A.
Midfielder team
- 56/59(95%) - - 1 0.13 16/19(84%) 63 3/3(100%) - 1/1(100%) - -
player
Andersen J.
Midfielder team
- 4/5(80%) - - - - 2/3(67%) 7 - - - - -
player
Berger S.
Midfielder team
- 19/21(90%) - - - 0.02 10/10(100%) 32 1/1(100%) - - - -
player
Birkso Thorsen V.
Goalkeeper team
- 13/13(100%) - - - - - 18 3/3(100%) - - - -
player
Dahl A.
Midfielder team
- 19/21(90%) - - - 0.01 5/6(83%) 26 1/1(100%) - - - -
player
Kudsk J.
Defender team
- 65/68(96%) - - - 0.01 8/10(80%) 75 5/2(63%) - - - -
player
Larsen N.
Goalkeeper team
- 28/35(80%) - - - - - 55 5/11(45%) - - - -
player
Madsen A.
Defender team
- 45/54(83%) - - - 0.04 5/8(63%) 63 3/5(60%) - - - -
player
Marcussen G.
Midfielder team
- 2/2(100%) - - - - - 2 - - - - -
player
Nielsen J.
Midfielder team
- 16/20(80%) - - - 0.01 4/5(80%) 27 - - - - -
xA - measures the likelihood that a completed pass will become an assist for a goal. It evaluates the quality of the pass based on factors like its placement, trajectory, speed, the receiver’s position, defensive pressure, and the overall attacking context. Each key pass receives a value between 0 and 1; a player’s or team’s total xA is the sum of these values. Higher xA indicates better chance creation, even if the subsequent shot is missed or saved.
Defending
Player Duels Aerial duels Ground duels Foules Tackles Interceptions Clearances Error leading to goal Error leading to shot Own goals
player
Johannesen S.
Midfielder team
13 - 4/11(36%) 1 1/1(100%) - - - - -
player
Winther F.
Midfielder team
12 1/2(50%) 6/10(60%) 2 3/4(75%) 1 1 - - -
player
Ganchas P.
Defender team
9 3/4(75%) 5/5(100%) - 2/2(100%) 2 5 - 1 -
player
Berger S.
Midfielder team
8 - - - - - 1 - - -
player
Etim
Forward team
7 1/2(50%) 2/5(40%) - - - - - - -
player
Ostrom R.
Defender team
6 3/3(100%) 1/3(33%) 1 1/1(100%) - 4 - - -
player
Hajal R.
Midfielder team
5 - 4/5(80%) - - - 1 - - -
player
Jessen J.
Midfielder team
5 1/1(100%) 3/4(75%) - 2/2(100%) 2 1 - - -
player
Westh V.
Midfielder team
5 1/1(100%) 3/4(75%) 1 - - 1 - - -
player
Kirk W.
Midfielder team
4 - 2/4(50%) - 1/2(50%) - 4 - - -
player
Larsen M.
Midfielder team
4 1/2(50%) 1/2(50%) - 1/1(100%) - 1 - - -
player
Madsen A.
Defender team
4 1/1(100%) 1/3(33%) - 1/1(100%) 1 4 - - -
player
McCowatt C.
Midfielder team
4 - 2/4(50%) - - - - - - -
player
Dall E.
Forward team
3 - - - - - - - - -
player
Ross O.
Forward team
3 - 1/3(33%) - - 1 - - - -
player
Stuker S.
Defender team
3 - 2/3(67%) 1 1/1(100%) 1 1 - - -
player
Andersen A.
Midfielder team
2 - 1/2(50%) 1 - - 1 - - -
player
Crone S.
Defender team
2 - 1/1(100%) 1 - - 1 - - -
player
Dahl A.
Midfielder team
2 - 1/2(50%) 1 1/1(100%) - - - - -
player
Kudsk J.
Defender team
2 - 1/2(50%) 1 1/1(100%) - 2 - - -
player
Ladefoged M.
Defender team
2 2/2(100%) - - - - 4 - - -
player
Lindekilde J.
Defender team
2 - - - - - 1 - - -
player
Nielsen J.
Midfielder team
2 - 1/2(50%) - 1/1(100%) 1 1 - - -
player
Rieper F.
Defender team
2 1/1(100%) 2/2(100%) - - - 2 - - -
player
Gammelby J.
Defender team
1 - 1/1(100%) - - - 1 - - -
player
Larsen N.
Goalkeeper team
1 - - - - - - - - -
player
Andersen J.
Midfielder team
- - - - - - - - - -
player
Birkso Thorsen V.
Goalkeeper team
- - - - - - - - - -
player
Marcussen G.
Midfielder team
- - - - - - - - - -
Goalkeeping
Player Goals prevented Goalkeeper saves xGOT faced Goals Conceded Punches Throws Sweeper keeper actions
player
Birkso Thorsen V.
Goalkeeper team
1.09 2 2.09 1 - 2 -
player
Larsen N.
Goalkeeper team
-1.3 6 2.7 4 - 14 -
Goals prevented - measures how many goals a goalkeeper saved compared to expectation. It is calculated as the difference between xGOT Faced (the total post-shot expected goals of all on-target shots faced) and the actual number of goals conceded (excluding own goals). A higher positive value indicates the goalkeeper performed above average, preventing more goals than expected from the quality of shots faced. A negative value means more goals were conceded than the shots "deserved.
xGOT faced - total number of goals a goalkeeper would be expected to concede based on the volume and quality of on-target shots faced. Each shot’s quality is assessed using post-shot factors: placement, goalkeeper positioning, shot speed, etc. xGOT Faced for a team equals the opposing team’s total xGOT from shots on target. It serves as the benchmark for calculating Goals Prevented.

About

17.05.2026 at 08:00 Fredericia and Silkeborg will play a match as part of the Superliga. The game will be played at the Monjasa Park. Fredericia vs Silkeborg score, statistics, and full match live broadcast can be found on fscore.org.uk. All this data is accessible and free for all users without registration.

Match information

Fredericia lineup:
  • Right winger: Johannesen Sofus
  • Left winger: Kristjansson Daniel Freyr
  • Central defender: Kudsk Jeppe
  • Striker: Etim
  • Left back: Jessen Jakob
  • Central midfielder: Lindekilde Jonatan
  • Right back: Crone Svenn
  • Central midfielder: Pyndt Andreas
  • Goalkeeper: Birkso Thorsen Valdemar
  • Central defender: Rieper Frederik Thykaer
  • Central midfielder: Winther Felix

Fredericia last matches info:

  • Fredericia - Silkeborg (17 May 2026) Monjasa Park 4:1 Superliga
  • Vejle - Fredericia (10 May 2026) Vejle Stadium 2:0 Superliga
  • Fredericia - Copenhagen (03 May 2026) Monjasa Park 3:3 Superliga
  • Fredericia - Odense (26 Apr 2026) Monjasa Park 0:2 Superliga
  • Randers - Fredericia (23 Apr 2026) Cepheus Park Randers 2:2 Superliga

Silkeborg lineup:

  • Striker: Ross Oliver
  • Central midfielder: Westh Villads
  • Left back: Madsen Alexander
  • Central midfielder: Kirk William
  • Right back: Gammelby Jens Martin
  • Striker: McCowatt Callum
  • Central defender: Ganchas Pedro
  • Goalkeeper: Larsen Nicolai
  • Central midfielder: Larsen Mads
  • Striker: Hajal Rami
  • Central defender: Ostrom Robin

Silkeborg last matches info:

  • Fredericia - Silkeborg (17 May 2026) Monjasa Park 4:1 Superliga
  • Silkeborg - Copenhagen (10 May 2026) JYSK Park 0:4 Superliga
  • Odense - Silkeborg (03 May 2026) Nature Energy Park 2:3 Superliga
  • Silkeborg - Randers (26 Apr 2026) JYSK Park 2:0 Superliga
  • Vejle - Silkeborg (22 Apr 2026) Vejle Stadium 1:2 Superliga

Fredericia vs Silkeborg score today will be available at the beginning of the match on 17 May 2026. On fscore.org.uk, you will find not only the Fredericia vs Silkeborg score but the latest score, livescore, results, and fixtures for future matches.

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Match Info

Date:
17 May 2026, 08:00
Referee:
Svendsen Frederik, Denmark
Stadium:
Monjasa Park, Fredericia, Denmark
Capacity:
4000
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