1. AGF vs Odense BK

AGF vs OB 2-2 Score & Prediction Review

Superliga - Season 2026/2027 (Round 5)

Robbed

AGF drew despite more chances

AGFAGF

2–2

OBOB
2.7Chances (xG)0.7

On these chances AGF would usually take 2.5 points and OB 0.3; they took 1 and 1. Bookmakers' favourite: AGF.

AGF −1.5 pts vs chancesOB +0.7 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 OB stats: how the match was played

Superliga

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

AGF had more than twice the shots on target

AGF

OB

5

Shots on target

2

4

Big chances

3

15

Corners

0

0

Yellow cards

6

71%

Possession

30%

The match between AGF and OB ended 2-2. Our AI model predicted a AGF win at 58% 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 2.5 Goals.
This match is finished — the model has already priced the next one: OB – Brøndby prediction & betting tips (Oct 18, 2026).

AGF vs OB — 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 58%Bookmakers 50%

Our track record

In 1,802 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 61.2% of the time (bookmakers said 61.3%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 53%Bookmakers 58%

Our track record

In 6,501 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

Correct
Our model 55%Bookmakers 59%

Our track record

In 5,191 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Wrong
Our model 68%Bookmakers 63%

Our track record

In 3,986 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.3% of the time (bookmakers said 66.8%).

First Half Result →Agrees with bookmakers

Our model’s pick

AGF ahead at half-time

Wrong
Our model 44%Bookmakers 39%

Our track record

In 6,723 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 2+ goals

Correct
Our model 55%Bookmakers 56%

Our track record

In 2,827 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.4% of the time (bookmakers said 58.6%).

OB Goals →Agrees with bookmakers

Our model’s pick

OB 0–1 goals

Wrong
Our model 77%Bookmakers 70%

Our track record

In 2,600 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 75.2% of the time (bookmakers said 76.4%).

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

AGF vs OB 2-2 — How Our Predictions Performed

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

· FT
AGFAGF2
OBOB2

Winner

1 58%

BTTS*

Yes 53%

Correct Score

1-0 11%

Over/Under 2.5 goals

over 55%

Over/Under 3.5 goals

under 58%

Full Time

158%
X22%
219%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT22%78%45%55%
<3.5>3.5<4.5>4.5
FT58%42%81%19%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
AGF17%83%45%55%
OB45%55%77%23%
<2.5>2.5<3.5>3.5
AGF72%28%88%12%
OB93%7%98%2%

1st Half

144%
X38%
218%

1st Score

161%
X6%
233%

Half Time/Full Time

1-1

36%

X-1

18%

X-X

13%

2-2

10%

X-2

7%

1-X

5%

2-1

5%

2-X

4%

1-2

2%

Correct Score

1-0

11.1%

1-1

10.4%

2-1

10.3%

2-0

9.8%

3-0

6.2%

3-1

6.1%

0-0

5.8%

0-1

5.4%

1-2

5.3%

2-2

5.0%

3-2

3.2%

*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: OB – Brøndby prediction & betting tips (Oct 18, 2026).

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