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Compare Copenhagen vs Fredericia

Copenhagen vs Fredericia Head-to-Head Stats and Form Comparison

Compare Copenhagen vs Fredericia: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Copenhagen Copenhagen Home Team
Fredericia Fredericia Away Team
Copenhagen
74.3
W D W W W W D W W W

Last 10 Matches

Fredericia
41.3
W W W L D L D D D L

Performance Radar

Copenhagen
Fredericia

Categories Won

13

Copenhagen

2

Draw

0

Fredericia

Statistical Comparison

Win Percentage
80%

8W, 2D, 0L

30%

3W, 4D, 3L

Goals Scored / Match
3.2

32 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
1.2

12 / 10 matches

1.7

17 / 10 matches

Goal Difference
+20

+20

0

0

Clean Sheet
30%

3 / 10 matches

10%

1 / 10 matches

Over 2.5 Goals
100%

10 / 10 matches

60%

6 / 10 matches

Both Teams to Score
70%

7 / 10 matches

60%

6 / 10 matches

Top Scorer
J. Larsson (5 goals)
J. Lindekilde (4 goals)
Most Goals by Half
1st Half: 13 / 2nd Half: 19
1st Half: 8 / 2nd Half: 9
Home Win Rate
100%

5W / 5 matches

40%

2W / 5 matches

Away Win Rate
60%

3W / 5 matches

20%

1W / 5 matches

Schedule Strength (SoS)
40.1

League Difficulty: 56.3, Opponent Quality: 50.3

38.6

League Difficulty: 53.0, Opponent Quality: 49.7

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 1 matches

Expected Goals (xG)
3.24

Actual: 3.2 | Diff: -0.04

1.82

Actual: 1.7 | Diff: -0.12

Adjusted Power Rating
74.3

Attack: 90.1, Defense: 54.1, Form: 72.1

41.3

Attack: 50.2, Defense: 38.4, Form: 26.6

Goal Timing Analysis

6

0-15'

2
2

16-30'

3
5

31-45'

3
3

46-60'

1
2

61-75'

1
11

76-90+'

3
Copenhagen
Fredericia
Copenhagen

Power Rating Breakdown

74.3

Overall

Attack 90.1
Defense 54.1
Form 72.1
Consistency 80.8
Fredericia

Power Rating Breakdown

41.3

Overall

Attack 50.2
Defense 38.4
Form 26.6
Consistency 57.7

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

56.3 vs 53.0

Opponent Quality

50.3 vs 49.7

Elite Opponent Record

0% vs 0%
Copenhagen logo Copenhagen
W
Lyngby (52%)
D
Polissya (70%)
W
Viborg (42%)
W
Brøndby (51%)
W
Randers (43%)
W
Silkeborg (55%)
D
Fredericia (55%)
W
Vejle (44%)
Fredericia logo Fredericia
W
Esbjerg (43%)
W
Mafra (45%)
W
Silkeborg (50%)
L
Vejle (49%)
D
Copenhagen (74%)
L
OB (42%)
D
Randers (48%)
D
Silkeborg (55%)

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Lyngby H
3 - 2 W
52%
Polissya A
3 - 3 D
70%
Viborg H
2 - 1 W
42%
Brøndby A
3 - 1 W
51%
Randers H
5 - 0 W
43%
Silkeborg A
4 - 0 W
55%
Fredericia A
3 - 3 D
55%
Vejle H
3 - 0 W
44%
OB H
2 - 1 W
42%
Vejle A
4 - 1 W
49%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Esbjerg A
1 - 0 W
43%
Mafra H
3 - 2 W
45%
Silkeborg H
4 - 1 W
50%
Vejle A
0 - 2 L
49%
Copenhagen H
3 - 3 D
74%
OB H
0 - 2 L
42%
Randers A
2 - 2 D
48%
Silkeborg A
2 - 2 D
55%
Vejle H
2 - 2 D
44%
OB A
0 - 1 L
47%

AI Analysis

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule adjustment reveals a significant quality gap. The favorite has been tested against tougher opposition and has consistently delivered.

Both teams have faced similar levels of opposition (SoS: 40.1 vs 38.6), making the raw statistics a reliable comparison tool in this matchup.

Few sides can match Copenhagen in front of goal. Their 3.2 average per fixture tells the story, with J. Larsson driving that output personally responsible for 5 goals this campaign.

Defensively, Copenhagen holds the advantage — allowing just 1.2 goals per game against Fredericia's 1.7.

Copenhagen has an exceptional home record with a 100% win rate at their home ground. When playing at home, they become significantly more dangerous.

Copenhagen is a strong road performer with a 60% away win rate, proving they can deliver results regardless of venue.

Based on the combined statistics, expect 3.9 total goals. Over 2.5 goals is the statistical lean, with BTTS (Both Teams to Score) being likely.

🔥 Form Momentum: Copenhagen is in scorching form, winning 8 of their last 10 matches with 32 goals scored. This level of consistency is difficult to sustain but devastating while it lasts.

📊 Key Trend: The form trajectories are diverging. Copenhagen is on the rise with 8W in last 10, while Fredericia shows signs of decline with 3W in last 10.

💡 Why This Matters: The 33.0-point power rating gap between these teams translates to approximately a 85% win probability for Copenhagen. In practical terms, Copenhagen would win 8 out of 10 such matchups.

Accounting for opponent quality throughout our evaluation, Copenhagen emerges as the heavy favorite by every measurable indicator. A power rating of 74.3 compared to 41.3, combined with across-the-board statistical superiority, projects Copenhagen as the likely winner and by a comfortable margin.

These two teams drew 3-3 in the Danish Superligaen (2026-05-03). The stalemate suggests these sides are closely matched, and another tight contest could be on the cards. With the previous match ending in a draw, neither side holds a psychological edge. Both teams will feel they have a genuine chance of winning.

Match Simulator

AI-powered match simulation based on real statistics

Copenhagen

Copenhagen

VS
Fredericia

Fredericia

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

Compare Another Pair

Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

Copenhagen

8W 2D 0L · 32 goals scored · 12 conceded

Fredericia

3W 4D 3L · 17 goals scored · 17 conceded

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