1. Lyngby Boldklub vs Odense BK

Lyngby vs OB 1-1 Score & Prediction Review

Superliga - Season 2026/2027 (Round 6)

Fair result
LyngbyLyngby

1–1

OBOB
1.5Chances (xG)2.0

On these chances Lyngby would usually take 1.1 points and OB 1.7; they took 1 and 1. Bookmakers' favourite: Lyngby.

Lyngby −0.1 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 →

Lyngby vs OB stats: how the match was played

Superliga

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

OB had more than twice the shots on target

Lyngby

OB

1

Shots on target

8

2

Big chances

3

4

Corners

6

4

Yellow cards

4

45%

Possession

55%

The match between Lyngby and OB ended 1-1. Our AI model predicted a Lyngby win at 45% 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: AGF – Lyngby prediction & betting tips (Nov 20, 2026).

Lyngby 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

Lyngby to win

Wrong
Our model 45%Bookmakers 45%

Our track record

In 3,524 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 49.7% of the time (bookmakers said 50.7%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 57%Bookmakers 63%

Our track record

In 5,740 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.7% of the time (bookmakers said 57.9%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Over 2.5 goals

Wrong
Our model 55%Bookmakers 62%

Our track record

In 5,309 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.4% of the time (bookmakers said 59.2%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 68%Bookmakers 60%

Our track record

In 3,993 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 66.6%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 40%Bookmakers 39%

Our track record

In 1,937 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 40.9% of the time (bookmakers said 41.2%).

Lyngby Goals →Disagrees with bookmakers

Our model’s pick

Lyngby 0–1 goals

Correct

The bookmakers’ favourite was wrong: Lyngby 2+ goals.

Our model 54%Bookmakers 46%

Our track record

In 1,898 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 40.8% of the time: closer to the bookmakers’ 43.5% than to our 50–55%.

OB Goals →Agrees with bookmakers

Our model’s pick

OB 0–1 goals

Correct
Our model 67%Bookmakers 60%

Our track record

In 3,309 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 67.8% of the time (bookmakers said 67.5%).

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

Lyngby vs OB 1-1 — How Our Predictions Performed

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

· FT
LyngbyLyngby1
OBOB1

Winner

1X 71%

BTTS*

Yes 56%

Correct Score

1-1 12%

Over/Under 2.5 goals

over 55%

Over/Under 3.5 goals

under 58%

Full Time

145%
X26%
229%

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
Lyngby23%77%54%46%
OB35%65%67%33%
<2.5>2.5<3.5>3.5
Lyngby78%22%92%8%
OB87%13%96%4%

1st Half

136%
X40%
224%

1st Score

155%
X6%
239%

Half Time/Full Time

1-1

27%

X-1

16%

2-2

15%

X-X

14%

X-2

10%

1-X

6%

2-X

6%

1-2

3%

2-1

3%

Correct Score

1-1

11.5%

1-0

9.2%

2-1

9.2%

1-2

7.4%

2-0

7.2%

0-1

6.7%

0-0

6.4%

2-2

6.1%

3-1

4.6%

3-0

4.2%

0-2

3.9%

*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: AGF – Lyngby prediction & betting tips (Nov 20, 2026).

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