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AGF vs Brøndby 1-1 Score & Prediction Review

Superliga - Season 2026/2027 (Round 1)

Robbed

AGF drew despite more chances

AGFAGF

1–1

BrøndbyBrøndby
1.9Chances (xG)0.9

On these chances AGF would usually take 2.0 points and Brøndby 0.8; they took 1 and 1. Bookmakers' favourite: AGF.

AGF −1.0 pts vs chancesBrøndby +0.2 pts vs chances

Calculated by MyGameOdds · xG: our own model

How it works

Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.

Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.

Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.

How we measure →

AGF vs Brøndby stats: how the match was played

Superliga

Whether the result matched the chances each side created, measured with our own xG.

AGF had clearly more shots on target

AGF

Brøndby

3

Shots on target

2

2

Big chances

1

10

Corners

6

1

Yellow cards

5

54%

Possession

46%

The match between AGF and Brøndby ended 1-1. Our AI model predicted a AGF win at 50% confidence — the final result went a different way, but individual market predictions still offer useful insight. Overall a solid read on this match, with 2 out of 4 key markets predicted correctly, including Both Teams To Score & Over/Under 3.5 Goals.
This match is finished — the model has already priced the next one: Randers – Brøndby prediction & betting tips (Oct 23, 2026).

AGF vs Brøndby — Our Model vs the Bookmakers

Market check · Superliga

How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.

How to read it

our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers

Our model’s pick

AGF to win

Wrong
Our model 50%Bookmakers 48%

Our track record

In 2,476 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 54.6% of the time (bookmakers said 55.1%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 53%Bookmakers 60%

Our track record

In 6,481 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Over 2.5 goals

Wrong
Our model 51%Bookmakers 57%

Our track record

In 5,162 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.1% of the time (bookmakers said 56.4%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 71%Bookmakers 66%

Our track record

In 4,571 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.2% of the time (bookmakers said 71.5%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 41%Bookmakers 40%

Our track record

In 6,676 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.7% of the time (bookmakers said 44.2%).

AGF Goals →Agrees with bookmakers

Our model’s pick

AGF 0–1 goals

Correct
Our model 53%Bookmakers 52%

Our track record

In 2,817 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.2% of the time (bookmakers said 58.6%).

Brøndby Goals →Agrees with bookmakers

Our model’s pick

Brøndby 0–1 goals

Correct
Our model 73%Bookmakers 62%

Our track record

In 3,367 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.5% of the time (bookmakers said 72.0%).

Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

AGF vs Brøndby 1-1 — How Our Predictions Performed

The prediction cards below show the pre-match probabilities our AI model generated for AGF vs Brøndby. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.

· FT
Superliga - Denmark
AGFAGF1
BrøndbyBrøndby1

Winner

1 50%

BTTS*

Yes 53%

Correct Score

1-1 12%

Over/Under 2.5 goals

over 51%

Over/Under 3.5 goals

under 61%

Full Time

150%
X25%
225%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT26%74%49%51%
<3.5>3.5<4.5>4.5
FT61%39%83%17%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
AGF22%78%53%47%
Brøndby40%60%73%27%
<2.5>2.5<3.5>3.5
AGF78%22%92%8%
Brøndby91%9%97%3%

1st Half

137%
X41%
222%

1st Score

158%
X7%
235%

Half Time/Full Time

1-1

30%

X-1

17%

X-X

15%

2-2

14%

X-2

9%

1-X

5%

2-X

5%

2-1

4%

1-2

2%

Correct Score

1-1

11.5%

1-0

11.2%

2-1

9.5%

2-0

8.7%

0-0

7.3%

0-1

7.1%

1-2

6.2%

3-1

5.2%

2-2

5.2%

3-0

4.4%

0-2

3.7%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

This match is finished — the model has already priced the next one: Randers – Brøndby prediction & betting tips (Oct 23, 2026).

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