Lyngby vs Silkeborg preview by Lars for TerraceBet
Danish Superliga · Regular Season - 9 Fri 18 Sep · 18:00 BST Lyngby Stadion

Lyngby vs Silkeborg: Under 2.5 goals

Lyngby's 1.3 expected goals edge out Silkeborg's 1.0, and both sides have struggled to find the net in recent outings. The model rates an under‑2.5‑goals result at almost 60%, making a low‑scoring affair the most likely outcome.

Lars's Take
1
Headline Pick
Under 2.5 goals
Solid · Defensive trend
2
Both Teams to Score
BTTS — No
54.0% model probability
3
Total Goals
Under 2.5 Goals
59.6% model probability

Both clubs come into the fixture with fragile defenses – Lyngby concedes 1.3 per game at home while Silkeborg leak 1.8 per game away. Their recent form shows a pattern of tight scores and few clear‑cut chances, setting the stage for a cautious encounter.

Lars's Verdict

Solid
Under 2.5 goals Strong lean Solid · Defensive trend

The model assigns a 59.6% probability to an under‑2.5‑goals outcome, reflecting both teams' modest scoring rates and recent low‑scoring results.

Show the maths
Lyngby’s xG of 1.3 and Silkeborg’s xG of 1.0 sum to 2.3 expected goals for the match. The model therefore leans toward the total staying below 2.5, assigning a 59.6% chance to the under. This probability exceeds the over’s 40.4% by a clear margin, indicating the under‑2.5 market is the most one‑sided prediction.
Pick 2 · Both Teams to Score
Both Teams to Score — No (one side kept off the scoresheet) 54.0% model probability

With Lyngby averaging 1.3 expected goals and Silkeborg averaging 1.0, the model gives a 54.0% chance at least one side fails to score, ahead of the 46.0% it gives to both teams scoring.

Show the maths
BTTS probability is derived from each side's expected goals (Lyngby 1.3, Silkeborg 1.0) run through the same Poisson goal-expectancy model used for the match result: 46.0% of simulated outcomes have both teams scoring at least once, versus 54.0% where at least one side is shut out.
Pick 3 · Total Goals
Under 2.5 Goals 59.6% model probability

Combined expected goals of 2.3 (Lyngby 1.3 + Silkeborg 1.0) points to a tighter game, with the model giving Under 2.5 Goals a 59.6% chance against 40.4% for Over.

Show the maths
Total goals probability comes from the same Poisson model summing both teams' expected goals (Lyngby 1.3 + Silkeborg 1.0 = 2.3 combined): 40.4% of simulated outcomes finish with 3 or more goals, versus 59.6% finishing with 2 or fewer.
Match Result Model

Our Poisson model, built from each side's real season scoring and conceding rates, has Lyngby at 43.4%, the draw at 28.0%, and Silkeborg at 28.6% to win.

Most Likely Scoreline

The single most likely scoreline in our model is 1-0 at 13.0% — treat any single scoreline price with caution given how spread out the probability distribution is across a low-scoring match.

The Numbers Behind the Headline

Lyngby expected goals
1.3
Silkeborg expected goals
1.0
Model BTTS probability
54.0%

Most likely scorelines

11-0
13.0%
21-1
13.0%
30-0
10.0%

Model probabilities are derived from each team's real season goals-for and goals-against averages via a Poisson goal-expectancy model — not a fixed set of narrative numbers.

Form Guide — Last 5

Lyngby

LDLDW

Lyngby’s last five league games read LDLDW, highlighted by a 2‑0 away win at Viborg and a 1‑1 home draw with FC Midtjylland. Those results show a capacity to keep games tight and occasionally punch above their expected goals, reinforcing the expectation of a low‑scoring match.

Silkeborg

WLLDD

Silkeborg’s recent form of WLLDD includes a 1‑0 home victory over Odense and a 2‑2 away draw with Aarhus, both indicating limited goal output on the road. The back‑to‑back draws and narrow defeats suggest they are unlikely to breach the 2.5‑goal threshold here.

Head-to-Head

In the last five meetings, Lyngby have won three times (including 2‑0 victories in 2025 and 2023) while Silkeborg have only managed a 2‑1 win, and the most common scorelines have been low‑scoring, supporting the under‑2.5 prediction.

DateResultCompetition
27 Apr 2025Lyngby 2-0 SilkeborgSuperliga
6 Apr 2025Silkeborg 2-1 LyngbySuperliga
9 Mar 2025Silkeborg 0-1 LyngbySuperliga
29 Sep 2024Lyngby 2-2 SilkeborgSuperliga
3 Dec 2023Lyngby 2-0 SilkeborgSuperliga

Team News

Lyngby: O. Snorre (Knee Injury)

Silkeborg: A. Busch (Ankle Injury), M. Freundlich (Knee Injury), M. Oxenberg (Injury), P. Rodin (Knee Injury)

Injury records reflect the current season on file and may not capture very recent knocks — confirmed lineups land closer to kickoff.

Frequently Asked Questions

Who is predicted to win Lyngby vs Silkeborg?

Under 2.5 goals. The model assigns a 59.6% probability to an under‑2.5‑goals outcome, reflecting both teams' modest scoring rates and recent low‑scoring results.

What does the model give Lyngby vs Silkeborg?

Our Poisson model, built from each side's real season scoring and conceding rates, gives Lyngby a 43.4% chance, the draw 28.0%, and Silkeborg 28.6% to win.

When is Lyngby vs Silkeborg?

Lyngby play Silkeborg on Fri 18 Sep · 18:00 BST in the Danish Superliga at Lyngby Stadion.

Are there any injury concerns for Lyngby vs Silkeborg?

Lyngby: O. Snorre (Knee Injury). Silkeborg: A. Busch (Ankle Injury), M. Freundlich (Knee Injury), M. Oxenberg (Injury), P. Rodin (Knee Injury). Injury records reflect the current season on file and may not capture very recent knocks — confirmed lineups land closer to kickoff.

More Danish Superliga This Week

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Given the low expected goal totals, the defensive solidity, and the prevalence of draws and narrow scorelines in their head‑to‑head history, the match is primed for fewer than three goals.

Predictions and model probabilities are for information and entertainment only and are not betting advice — always do your own research. BeGambleAware.org

Lars, European Football Writer at TerraceBet
Written by Lars
European Football Writer, TerraceBet — Continental European leagues from the Eredivisie to the Superliga
Priya, Fact-Checking Editor at TerraceBet
Fact-checked by Priya
Fact-Checking Editor, TerraceBet — every stat and claim verified against the underlying data