Lyngby
vs
Silkeborg
Superliga prediction
Our model says: Lyngby 1–0 Silkeborg
The model makes it 47% Lyngby, 28% draw, 25% Silkeborg — fair odds of 2.13, 3.57 and 4.00. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.
Most likely scoreline: 1-0.
Expected goals: Lyngby 1.80, Silkeborg 1.02.
Both teams to score: 54%. Over 2.5 goals: 54%, under 2.5: 46%.
Model confidence: Medium.
Published · updated
Live win probability
From kick-offThese update every few seconds once the match kicks off, as the model re-reads the score, the clock and any red cards. The second figure is fair odds — 100 ÷ probability, the price with no margin in it.
Model insights: Lyngby vs Silkeborg
Every scoreline the model considered
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 7 | 6 | 3 | 1 | ||
| 1 | 10 | 11 | 6 | 2 | ||
| 2 | 10 | 10 | 5 | 2 | ||
| 3 | 6 | 6 | 3 | 1 | ||
| 4 | 3 | 3 | 1 | |||
| 5 |
Each cell is one exact result, shaded against the likeliest one; figures below 1% are left blank rather than rounded to zero. Blue cells are Lyngby wins, grey are draws, red are Silkeborg wins — the three shaded areas ARE the 1/X/2 split above, which is the sum of the cells in each. The most likely scoreline is simply the darkest cell inside whichever area the model favours.
Has the model earned this number?
It puts Lyngby at 47% here. Across 2437 settled matches, 1092 forecasts have landed in the 40–50% band; those outcomes actually happened 44.3% of the time, against an average forecast of 43.8%. In this range the two line up, so the figure above can be read literally.
Every settled prediction on this site is scored against an uninformed baseline, band by band, and published whether or not it flatters the model — see the full record.
Form going into Lyngby vs Silkeborg
Lyngby
- D1-1Sonderjyske13 September 2026
- W2-0away to Viborg4 September 2026
- D1-1Odense30 August 2026
- L1-2away to AC Horsens23 August 2026
- D1-1FC Midtjylland16 August 2026
Silkeborg
- D1-1Viborg13 September 2026
- D2-2away to Aarhus5 September 2026
- D1-1FC Midtjylland30 August 2026
- L1-3away to Brondby24 August 2026
- L0-1away to FC Nordsjaelland16 August 2026
Up to 5 matches before kick-off, most recent first. The model works from each side's rolling expected-goals ratings rather than from these results directly, so read them as context — how the ratings are built.
Superliga table
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 9 | Lyngby | 8 | 1 | 4 | 3 | 10 | 12 | -2 | 7 |
| 10 | Silkeborg | 8 | 1 | 4 | 3 | 8 | 12 | -4 | 7 |
Where the two sides stand. Full table
Head-to-head: Lyngby vs Silkeborg
- 27 April 2025Lyngby 2–0 SilkeborgSuperliga
- 6 April 2025Silkeborg 2–1 LyngbySuperliga
- 9 March 2025Silkeborg 0–1 LyngbySuperliga
- 29 September 2024Lyngby 2–2 SilkeborgSuperliga
- 3 December 2023Lyngby 2–0 SilkeborgSuperliga
- 6 October 2023Silkeborg 5–0 LyngbySuperliga
Leading scorers: Lyngby and Silkeborg
Lyngby
- Í. Þorvaldsson3 goals2 assists
- S. Colyn3 goals1 assists
Silkeborg
- C. McCowatt2 goals2 assists
- O. Ross2 goals1 assists
Top 3 by league goals this season. Player availability is not part of the model — injuries and suspensions are a planned improvement.
Two sides the ratings cannot separate
Lyngby carry a model rating of 6.57 against 6.43 for Silkeborg. The scale is anchored so that an average side in one of Europe's big five leagues sits at 6.85, and it is adjusted for the strength of each team's league, so the two numbers are comparable even across borders.
A gap that small is inside the noise of the rating itself — treat the two as level.
What the model expects
Under the hood the model expects 1.80 goals for Lyngby and 1.02 for Silkeborg. Those two numbers, not the scoreline, are what the model actually estimates; everything else is derived from them.
Lyngby rate 0.72 in attack and 1.26 in defence, where 1 is league average and a lower defensive number is better; Silkeborg rate 0.67 and 1.54.
The rest of the season
Across the rest of the season our simulation gives Lyngby a 0.1% chance of the title and Silkeborg 0%, from 10000 simulated seasons.
How this was produced
Publicly tracked record so far: 1151 correct results out of 2437 settled predictions (47%), with 230 exact scorelines (9%). That log is updated automatically after every match and is never edited.
Full method: how the model works.
From the first whistle this page keeps going: the win probabilities at the top are recalculated as the match plays out, reading the score, the clock and any sendings-off. The same model, asked how many goals are left rather than how many there will be.
Team comparison
Bars show each side's share of the two-team total, based on the model's attack/defence ratings and expected goals for this fixture.
Why the model favours this side
The model gives Lyngby the highest probability at 47%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 1.8 expected goals for Lyngby against 1.02 for Silkeborg. Lyngby's attack/defence rating is 0.72/1.26 versus the league average (1.00 = average), compared with 0.67/1.54 for Silkeborg.