Silkeborg
vs
Lyngby
Superliga prediction
Our model says: Silkeborg 2–1 Lyngby
The model makes it 45% Silkeborg, 23% draw, 32% Lyngby — fair odds of 2.22, 4.35 and 3.13. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.
Most likely scoreline: 2-1 (8%).
Expected goals: Silkeborg 2.13, Lyngby 1.74.
Both teams to score: 73%. Over 2.5 goals: 74%, under 2.5: 26%.
Model confidence: Medium — calls at this level have come off 46% of the time, over 2,054 settled matches.
Evenly matched: once home advantage is counted, neither side has a clear edge. In past matches rated this way the favourite won 41%, 28% were drawn and the underdog won 31%.
Published
Source: Fulltime Stats' own Dixon-Coles model, as of 23 October 2026. Silkeborg's rating is built from 43 Danish Superliga matches and Lyngby's from 11, over this season and last, recent ones weighted most. Goal level and home advantage are this competition's own, measured over 452 matches.
Key facts
- Silkeborg are 8th on 11 points from 11 games; Lyngby are bottom on 8 points from 11 games — Superliga.
- Silkeborg have won 1 of their last 5 games, most recently a 0-4 defeat away to Sonderjyske.
- Lyngby are without a win in 4 games, most recently a 3-3 draw at home to FC Nordsjaelland.
- Last 6 meetings: Lyngby 3 wins to 2, 1 draw; the most recent, 18 September 2026, ended Lyngby 0–4 Silkeborg.
More Danish Superliga predictions
Live win probability
From kick-offFrom kick-off, the split above updates here every few seconds as the model re-reads the score, the clock and any red cards.
Model insights: Silkeborg vs Lyngby
Has the model earned this number?
It puts Silkeborg at 45% here. Across 4,444 settled matches (as of 23 October 2026), 2,059 forecasts have landed in the 40–50% band; those outcomes actually happened 45.9% 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. The full record.
Form going into Silkeborg vs Lyngby
Silkeborg
Superliga
- L0-4away to Sonderjyske18 October 2026
- D3-3AC Horsens11 October 2026
- W4-0away to Lyngby18 September 2026
- D1-1Viborg13 September 2026
- D2-2away to Aarhus5 September 2026
Lyngby
Superliga
- D3-3FC Nordsjaelland18 October 2026
- L2-5away to Brondby11 October 2026
- L0-4Silkeborg18 September 2026
- D1-1Sonderjyske13 September 2026
- W2-0away to Viborg4 September 2026
What these results say
- Silkeborg failed to win 4 of these 5 matches.
- Silkeborg scored in 4 of these 5 matches.
- Silkeborg conceded in 4 of these 5 matches.
- Lyngby failed to win 4 of these 5 matches.
- Lyngby scored in 4 of these 5 matches.
- Lyngby conceded in 4 of these 5 matches.
Up to 5 matches before kick-off, most recent first. The model rates each side on its goals over this season and last, adjusted for the opposition, rather than on these results alone, so read them as context — how the ratings are built.
Superliga table
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 8 | Silkeborg | 11 | 2 | 5 | 4 | 15 | 19 | -4 | 11 |
| 12 | Lyngby | 11 | 1 | 5 | 5 | 15 | 24 | -9 | 8 |
Where the two sides stand. Full table
Head-to-head: Silkeborg vs Lyngby
- 18 September 2026Lyngby 0–4 SilkeborgSuperliga
- 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
Leading scorers: Silkeborg and Lyngby
Silkeborg
GoalsAssists
- O. Ross61
Lyngby
GoalsAssists
- S. Colyn42
- Í. Þorvaldsson32
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
Silkeborg carry a model rating of 6.42 against 6.4 for Lyngby. 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.
The model expects goals
Under the hood the model expects 2.13 goals for Silkeborg and 1.74 for Lyngby. Those two numbers, not the scoreline, are what the model actually estimates; everything else is derived from them.
Silkeborg rate 0.69 in attack and 1.62 in defence, where 1 is league average and a lower defensive number is better; Lyngby rate 0.71 and 1.76.
How this was produced
Publicly tracked record so far: 2,146 correct results out of 4,446 settled predictions (48%), with 446 exact scorelines (10%). That log is updated automatically after every match and is never edited.
Full method: how the model works.
Once the match starts, the win probabilities at the top update live from the score, the clock and any sendings-off.
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 Silkeborg the highest probability at 45%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 2.13 expected goals for Silkeborg against 1.74 for Lyngby. Silkeborg's attack/defence rating is 0.69/1.62 versus the league average (1.00 = average), compared with 0.71/1.76 for Lyngby.
How the model reaches 45% for Silkeborg to win
Start from two average sides on neutral ground: 37% for Silkeborg to win. Then home advantage adds 4 points, Silkeborg's ratings take away 21 points and Lyngby's ratings add 25 points, which lands on the published 45%.
- Two average sides, neutral ground37%
- Home advantage41%+4
- Silkeborg's ratings20%−21
- Lyngby's ratings45%+25
Each step adds one input to the step before. In another order the steps would differ in size; the end point would not.
Goal trends
Over 1.5 goals
Over 2.5 goals
Over 3.5 goals
Both teams score
Outer rings: how often each side's most recent league matches before kick-off (up to 10 games; the count is under each ring) went over the line. Middle ring: the model's own probability for this match, from the same expected goals as the prediction above. Past matches are context; the middle ring is the estimate. Not betting advice.
Season stats
Silkeborg at home · Lyngby away
League matches only, Superliga, this season. Rates are per game, since the two sides have not always played the same number; the tinted figure is the better one, where better is not a matter of taste. Source: API-Football season statistics, refreshed after each league match.
Position by match
SilkeborgLyngby
Silkeborg are 8th after 11 Superliga matches (between 6th and 10th so far); Lyngby are 12th after 11 (between 8th and 12th). Rebuilt from the season's results after each side's matches (x-axis: that side's match number); ties split on goal difference, then goals scored.
Goals scored and conceded, by minute
All Superliga matches this season: Silkeborg 11, Lyngby 11.
Silkeborg score most often in the 31–45 minute window (4 goals); Lyngby have let in 4 there.
Lyngby score most often in the 61–75 minute window (5 goals); Silkeborg have let in 2 there.
Each cell counts the league goals that went in during that 15-minute window. Each side's goals sit above the goals its opponent has let in over the same minutes; the darker the cell, the more goals in that window. Stoppage time counts in the last window of its half. Source: API-Football season statistics, refreshed after each league match; own goals are not always counted on the same side as in the table, so a row can be a goal off it. Context, not a prediction.
The next 3 matches, by difficulty
Silkeborg
- at AC Horsens22 Nov · Superligawin 27%
- vs Aarhus29 Nov · Superligawin 28%
- at FC Midtjylland6 Dec · Superligawin 13%
Lyngby
- at Aarhus20 Nov · Superligawin 20%
- vs Viborg29 Nov · Superligawin 27%
- at FC Nordsjaelland6 Dec · Superligawin 20%
Each side's next matches on our board after this one. The colour is how strong the opponent is, from easier to harder as on the scale above: its model rating ranked among the teams of that competition, in fifths, so bright red is the top fifth whoever is playing it. The win figure is this side's own chance in that match, which is where venue and its own level come in. A match already on our board links to its own prediction; the rest follow as their week comes up.