xgEdge

Sunday, 08/11/2026 at 16:00

35d 9h to kick-off
Match preview · Superliga (Denmark)

Silkeborg IF – Lyngby

Silkeborg IF 7th in Superliga (Denmark) Home 1.23 projected goals by the model
Lyngby 10th in Superliga (Denmark) Away 1.30 projected goals by the model

Model updated 4 October, 06:30 Odds not yet available

What the model expects

expected goals
1.23 1.30
Silkeborg IF Lyngby
Silkeborg IF
33%
Draw
31%
Lyngby
36%
The odds each result is fair at by the model's chance of it, with no margin in it
Silkeborg IF Draw Lyngby
Fair odds 3.07 3.18 2.78
Total goals
2.54
Over 2.5 goals
48%
Both teams to score
58%
Data coverage · thin

One of these teams has only 9 matches in the model window, short of the 10 the model wants. Read the projection as a direction rather than as a number.

Model vs market

Market odds are not available for this match yet.

The model's case

Why the model can't separate them

36% Lyngby to win

Attack
6th vs 10th
Lyngby attack v Silkeborg IF defence
Defence
7th vs 12th
Lyngby defence v Silkeborg IF attack
Recent xG form
+0.20 vs -0.81
xGD per match, last 6
Projected goals
1.23 – 1.30
Silkeborg IF v Lyngby

The fit has seen one of these two sides in only 9 matches, so read all of this as a rough guide.

How the model arrived here →

Team comparison

Season to date, per match, with each club's placing in the competition. The last row is the last 6 matches.

Overview: Silkeborg IF and Lyngby compared, each figure with where it places in the competition.
Reading Silkeborg IF Lyngby
xG / match 1.10 · 9th (better) 1.85 · 2nd
xGA / match 1.47 · 6th (better) 1.36 · 4th
xGD / match -0.36 · 9th (better) +0.48 · 2nd
xPts / match 1.22 · 8th (better) 1.61 · 5th
Last 6 xGD / match -0.81 (better) +0.20

The scorelines behind the model's numbers

No exact score is especially likely. The 3 most probable scorelines account for 35% of the model's distribution.

Lyngby clean sheet
26%
Lyngby 2+ goals
38%
Under 2.5 goals
52%
Both teams to score: no
42%

Most likely scorelines

1:1
16.1%
1:2
9.7%
2:1
9.1%
Value calculator

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How value is calculated

Value is probability × odds − 1 — it pays on average and over the long run, not necessarily in this match. The model knows nothing of absences, motivation or the schedule.

Nothing you type is remembered.

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Model details

· 1 warning Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Silkeborg IF sample
20 matches
Lyngby sample
9 matches
Home xG sample · Silkeborg IF
4 matches
Away xG sample · Lyngby
4 matches
Computed
Sunday, 04/10/2026 at 06:30

Warnings

  • Lyngby has only 9 matches in the database. Below 10 matches the estimate is very unreliable.

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.