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Compare Brøndby vs AGF

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

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

Brøndby Brøndby Home Team
AGF AGF Away Team
Brøndby
39.7
D L L W L D L W W L

Last 10 Matches

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

Performance Radar

Brøndby
AGF

Categories Won

3

Brøndby

2

Draw

10

AGF

Statistical Comparison

Win Percentage
30%

3W, 2D, 5L

40%

4W, 4D, 2L

Goals Scored / Match
1.5

15 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
1.6

16 / 10 matches

1.2

12 / 10 matches

Goal Difference
-1

-1

+5

+5

Clean Sheet
20%

2 / 10 matches

30%

3 / 10 matches

Over 2.5 Goals
60%

6 / 10 matches

40%

4 / 10 matches

Both Teams to Score
60%

6 / 10 matches

70%

7 / 10 matches

Top Scorer
J. Ambæk (3 goals)
T. Kristjánsson (2 goals)
Most Goals by Half
1st Half: 3 / 2nd Half: 12
1st Half: 7 / 2nd Half: 10
Home Win Rate
20%

1W / 5 matches

43%

3W / 7 matches

Away Win Rate
40%

2W / 5 matches

33%

1W / 3 matches

Schedule Strength (SoS)
40.7

League Difficulty: 54.0, Opponent Quality: 54.6

41.8

League Difficulty: 58.2, Opponent Quality: 52.9

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 1 matches

Expected Goals (xG)
1.45

Actual: 1.5 | Diff: +0.05

1.71

Actual: 1.7 | Diff: -0.01

Adjusted Power Rating
39.7

Attack: 45.4, Defense: 42.3, Form: 27.2

48.9

Attack: 52.0, Defense: 55.1, Form: 36.7

Goal Timing Analysis

0-15'

2
1

16-30'

3
2

31-45'

2
3

46-60'

2
2

61-75'

1
6

76-90+'

5
Brøndby
AGF
Brøndby

Power Rating Breakdown

39.7

Overall

Attack 45.4
Defense 42.3
Form 27.2
Consistency 49.3
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

54.6 vs 52.9

Elite Opponent Record

0% vs 0%
Brøndby logo Brøndby
D
AGF (61%)
L
Hibernian (49%)
L
Copenhagen (74%)
W
Midtjylland (62%)
L
AGF (56%)
D
Nordsjælland (50%)
L
Sønderjyske (45%)
W
Viborg (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
AGF A
1 - 1 D
61%
Hibernian A
1 - 2 L
49%
Copenhagen H
1 - 3 L
74%
Midtjylland A
3 - 2 W
62%
AGF H
0 - 2 L
56%
Nordsjælland H
1 - 1 D
50%
Sønderjyske A
0 - 3 L
45%
Viborg A
1 - 0 W
51%
Sønderjyske H
6 - 0 W
40%
Midtjylland H
1 - 2 L
58%
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

While the data leans decisively toward one side, dismissing the underdog would be premature. Adjusting for strength of schedule brings the margins closer together, yet the broader trend holds firm throughout the analysis.

Both teams have faced similar levels of opposition (SoS: 40.7 vs 41.8), making the raw statistics a reliable comparison tool in this matchup.

Brøndby (1.5 goals per match) and AGF (1.7 goals per match) present comparable offensive threats, making this an evenly contested attacking matchup.

AGF's backline outperforms Brøndby's, with 1.2 goals conceded per match versus 1.6.

Based on the combined statistics, expect 3.0 total goals. Over 2.5 goals is the statistical lean, with BTTS (Both Teams to Score) being likely.

📈 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 9.2-point power rating gap between these teams translates to approximately a 73% win probability for AGF. In practical terms, AGF would win 7 out of 10 such matchups.

AGF has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 9.2-point power gap suggests an advantage without guaranteeing victory.

These teams have faced each other 2 times in their recent matches, adding extra spice to this rivalry. These two teams drew 1-1 in the Danish Superligaen (2026-07-25). 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. In their recent Danish Superligaen match (2026-05-10), AGF prevailed 0-2 against Brøndby. This result provides valuable insight into how these teams match up against each other. Notably, AGF achieved this result away from home, which is particularly impressive. Winning on the road against Brøndby shows genuine quality and mental strength. Brøndby 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

Brøndby

Brøndby

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.

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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.

Brøndby

3W 2D 5L · 15 goals scored · 16 conceded

AGF

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

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