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Compare Sønderjyske vs AGF

Sønderjyske vs AGF Head-to-Head Stats and Form Comparison

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

Sønderjyske Sønderjyske Home Team
AGF AGF Away Team
Sønderjyske
36.3
L W L W L W L L L D

Last 10 Matches

AGF
48.9
D L W W W W D D L D

Performance Radar

Sønderjyske
AGF

Categories Won

3

Sønderjyske

3

Draw

9

AGF

Statistical Comparison

Win Percentage
30%

3W, 1D, 6L

40%

4W, 4D, 2L

Goals Scored / Match
1.2

12 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
2.1

21 / 10 matches

1.2

12 / 10 matches

Goal Difference
-9

-9

+5

+5

Clean Sheet
30%

3 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
70%

7 / 10 matches

40%

4 / 10 matches

Both Teams to Score
50%

5 / 10 matches

70%

7 / 10 matches

Top Scorer
O. Hyseni (3 goals)
T. Kristjánsson (2 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 7
1st Half: 7 / 2nd Half: 10
Home Win Rate
33%

2W / 6 matches

43%

3W / 7 matches

Away Win Rate
25%

1W / 4 matches

33%

1W / 3 matches

Schedule Strength (SoS)
53.2

League Difficulty: 54.0, Opponent Quality: 52.6

41.8

League Difficulty: 58.2, Opponent Quality: 52.9

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 1 matches

Expected Goals (xG)
1.05

Actual: 1.2 | Diff: +0.15

1.71

Actual: 1.7 | Diff: -0.01

Adjusted Power Rating
36.3

Attack: 41.3, Defense: 31.0, Form: 31.0

48.9

Attack: 52.0, Defense: 55.1, Form: 36.7

Goal Timing Analysis

2

0-15'

2
1

16-30'

3
2

31-45'

2
2

46-60'

2
1

61-75'

1
3

76-90+'

5
Sønderjyske
AGF
Sønderjyske

Power Rating Breakdown

36.3

Overall

Attack 41.3
Defense 31.0
Form 31.0
Consistency 46.0
AGF

Power Rating Breakdown

48.9

Overall

Attack 52.0
Defense 55.1
Form 36.7
Consistency 56.8

Strength of Schedule

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

League Difficulty

54.0 vs 58.2

Opponent Quality

52.6 vs 52.9

Elite Opponent Record

0% vs 0%
Sønderjyske logo Sønderjyske
L
Midtjylland (58%)
W
Kolding (43%)
L
Nordsjælland (50%)
W
Viborg (51%)
L
AGF (61%)
W
Brøndby (46%)
L
Midtjylland (58%)
L
Brøndby (51%)
AGF logo AGF
D
Brøndby (46%)
L
Lech (81%)
W
Horsens (40%)
W
Viborg (46%)
W
Brøndby (51%)
W
Sønderjyske (40%)
D
Midtjylland (58%)
D
Nordsjælland (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
Midtjylland H
2 - 3 L
58%
Kolding H
1 - 0 W
43%
Nordsjælland H
1 - 4 L
50%
Viborg A
1 - 0 W
51%
AGF A
1 - 2 L
61%
Brøndby H
3 - 0 W
46%
Midtjylland H
1 - 2 L
58%
Brøndby A
0 - 6 L
51%
Viborg H
0 - 2 L
46%
Midtjylland A
2 - 2 D
62%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Brøndby H
1 - 1 D
46%
Lech H
1 - 4 L
81%
Horsens H
2 - 0 W
40%
Viborg H
6 - 2 W
46%
Brøndby A
2 - 0 W
51%
Sønderjyske H
2 - 1 W
40%
Midtjylland H
0 - 0 D
58%
Nordsjælland A
1 - 1 D
55%
Midtjylland A
1 - 2 L
62%
Nordsjælland H
1 - 1 D
50%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated. When we factor in the quality of opponents each team has faced, the gap narrows slightly but the overall picture remains consistent.

Sønderjyske has faced significantly tougher opposition (SoS: 53.2) compared to AGF (SoS: 41.8). This means Sønderjyske's statistics carry more weight - they've been battle-tested against quality opponents.

AGF holds the attacking edge with 1.7 goals per match versus Sønderjyske's 1.2, though the gap isn't insurmountable.

Defensively, AGF is far superior, conceding just 1.2 goals per match with 3 clean sheets, while Sønderjyske leaks 2.1 goals per match.

Sønderjyske has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Crunching the numbers, this match averages out to 3.1 total goals. Going Over 2.5 carries the stronger statistical case, with the BTTS market looking likely given current form.

📈 Form Momentum: AGF has been remarkably consistent, maintaining a steady 1.6 points per game over their last 10 matches. This stability makes them a predictable but reliable force.

💡 Why This Matters: The 12.6-point power rating gap between these teams translates to approximately a 82% win probability for AGF. In practical terms, AGF would win 8 out of 10 such matchups.

AGF has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 12.6-point power gap suggests an advantage without guaranteeing victory.

In their recent Danish Superligaen match (2026-05-03), AGF prevailed 2-1 against Sønderjyske. This result provides valuable insight into how these teams match up against each other. AGF secured this victory at home, where they tend to be strongest. However, the next encounter could present a different challenge if the venue changes. The narrow 2-1 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Sønderjyske will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. AGF will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

Sønderjyske

Sønderjyske

VS
AGF

AGF

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.

Sønderjyske

3W 1D 6L · 12 goals scored · 21 conceded

AGF

4W 4D 2L · 17 goals scored · 12 conceded

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