Danish Superliga, round 14 · Friday, 6 November, (UTC+3)
Silkeborg — Lyngby
☆ Save matchModel prediction for 6 November
Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.
In short
Evenly matched: Silkeborg 37%, Lyngby 34%, draw 30%.
3.1 goals expected in total — close to the competition average (3.0).
Over 2.5 goals — 61%, both teams to score — 66%.
Why
- By the strength ratings the teams are almost level.
- Silkeborg are 182 points higher on Elo.
Facts
- League table: Silkeborg — No. 7, 11 pts; Lyngby — No. 11, 7 pts. A gap of 4 pts.
- Silkeborg: unbeaten in 5.
- Last 5 meetings: Silkeborg 2 wins, Lyngby 2, 1 draw.
Probabilities
| Expected goals: Silkeborg — Lyngby What is xG? | 1.6–1.5 | |
| Silkeborg not to lose | 66% | |
| Lyngby not to lose | 63% | |
| No draw | 70% | |
| Both teams to score: yes | 66% | |
| Both teams to score: no | 34% | |
| Total over 2.5 | 61% | |
| Total under 2.5 | 39% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Silkeborg
- Silkeborg goals
- Lyngby goals
- Corners and cards
- Full score grid
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Form
- 11.10AC Horsens3:3
- 18.09away · Lyngby4:0
- 13.09Viborg1:1
- 05.09away · AGF2:2
- 30.08FC Midtjylland1:1
Head to head
- 18.09.2026Lyngby — Silkeborg0:4
- 27.04.2025Lyngby — Silkeborg2:0
- 06.04.2025Silkeborg — Lyngby2:1
- 09.03.2025Silkeborg — Lyngby0:1
- 29.09.2024Lyngby — Silkeborg2:2
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 6, Championship round | AC Horsens | 11 | 3 | -1 | 13 |
| 7, Relegation round | Silkeborg | 10 | 2 | 0 | 11 |
| 8, Relegation round | Randers FC | 11 | 3 | -5 | 11 |
| 10, Relegation round | AGF | 10 | 1 | -3 | 8 |
| 11, Relegation round | Lyngby | 10 | 1 | -9 | 7 |
| 12, Relegation round | Sønderjyske | 10 | 1 | -12 | 5 |
This is the model’s statistical estimate, not a recommendation. An outcome at 37% will not happen in roughly 63 matches out of 100. How to read probabilities →