Skip to content
Compare AGF vs Brøndby

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

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

AGF AGF Home Team
Brøndby Brøndby Away Team
AGF
48.9
D L W W W W D D L D

Last 10 Matches

Brøndby
39.7
D L L W L D L W W L

Performance Radar

AGF
Brøndby

Categories Won

10

AGF

2

Draw

3

Brøndby

Statistical Comparison

Win Percentage
40%

4W, 4D, 2L

30%

3W, 2D, 5L

Goals Scored / Match
1.7

17 / 10 matches

1.5

15 / 10 matches

Goals Conceded / Match
1.2

12 / 10 matches

1.6

16 / 10 matches

Goal Difference
+5

+5

-1

-1

Clean Sheet
30%

3 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
40%

4 / 10 matches

60%

6 / 10 matches

Both Teams to Score
70%

7 / 10 matches

60%

6 / 10 matches

Top Scorer
T. Kristjánsson (2 goals)
J. Ambæk (3 goals)
Most Goals by Half
1st Half: 7 / 2nd Half: 10
1st Half: 3 / 2nd Half: 12
Home Win Rate
43%

3W / 7 matches

20%

1W / 5 matches

Away Win Rate
33%

1W / 3 matches

40%

2W / 5 matches

Schedule Strength (SoS)
41.8

League Difficulty: 58.2, Opponent Quality: 52.9

40.7

League Difficulty: 54.0, Opponent Quality: 54.6

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 1 matches

Expected Goals (xG)
1.71

Actual: 1.7 | Diff: -0.01

1.45

Actual: 1.5 | Diff: +0.05

Adjusted Power Rating
48.9

Attack: 52.0, Defense: 55.1, Form: 36.7

39.7

Attack: 45.4, Defense: 42.3, Form: 27.2

Goal Timing Analysis

2

0-15'

3

16-30'

1
2

31-45'

2
2

46-60'

3
1

61-75'

2
5

76-90+'

6
AGF
Brøndby
AGF

Power Rating Breakdown

48.9

Overall

Attack 52.0
Defense 55.1
Form 36.7
Consistency 56.8
Brøndby

Power Rating Breakdown

39.7

Overall

Attack 45.4
Defense 42.3
Form 27.2
Consistency 49.3

Strength of Schedule

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

League Difficulty

58.2 vs 54.0

Opponent Quality

52.9 vs 54.6

Elite Opponent Record

0% vs 0%
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%)
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%)

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
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%
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%

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.

The level of competition each team has encountered is broadly aligned (SoS: 41.8 vs 40.7), which adds credibility to any direct statistical comparisons drawn between these two sides.

Both teams are evenly matched in attack, with AGF averaging 1.7 and Brøndby averaging 1.5 goals per match.

Defensively, AGF holds the advantage — allowing just 1.2 goals per game against Brøndby's 1.6.

Statistical modeling projects 3.0 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at likely based on both sides' scoring records.

📈 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.

While AGF holds a measurable edge in the adjusted standings, the 9.2-point differential in power ratings indicates a competitive matchup rather than a clear-cut outcome.

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

AGF

AGF

VS
Brøndby

Brøndby

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.

AGF

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

Brøndby

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

Popular Teams

We use cookies & local storage to enhance your experience. Learn more

Login / Register

5 + 2 = ?
or