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Lyngby Boldklub 0:4 Silkeborg, Superliga: result, stats and how the prediction went

Result and how the prediction went

Denmark, SuperligaMatch finished

0:4HT 0:1
1.6LDLDW
Team strength by Elo, 0 to 5What this means

Strength is the team’s Elo rating rescaled to 0–5 across all matches in the competition: it rises after wins over strong opponents and falls after losses to weak ones. The bar colour is the tier: red — weak, amber — below average, green — solid, blue — the strongest. The letters under the bar are the last five matches: W — win, D — draw, L — loss.

Pre-match forecastpublished
37%30%33%
Lyngby BoldklubPrice 1.8637%DrawPrice 3.9230%SilkeborgPrice 3.6133%
Line-upsLyngby Boldklub4-4-2—Silkeborg3-4-2-1

Starting line-ups and substitutes. Usually out about an hour before kick-off.

Lyngby Boldklub4-4-2Silkeborg3-4-2-1

Lyngby Boldklub4-4-2

Coach: Mikkel Jespersen

Starting XI

  • 31GKUSAD. Kochen
  • 2DFDenmarkO. Buur
  • 30DFDenmarkM. Fischer
  • 24DFZimbabweM. Garananga
  • 25DFBelgiumR. Tytens
  • 19MFDenmarkG. Fraulo
  • 14MFDenmarkL. Sandgrav
  • 18MFDenmarkJ. Thomasen
  • 6MFIcelandD. Kristjánsson
  • 10FWIcelandÍ. Þorvaldsson
  • 7FWCanadaS. Colyn

Substitutes

  • 17MFDenmarkW. Steindorsson
  • 12DFIcelandDavid Helgi Aronsson
  • 35FWUSAM. Anderson
  • 4DFDenmarkC. Allen
  • 8MFDenmarkM. Hebo
  • 5MFDenmarkOliver Højer
  • 26FWDenmarkF. Gytkjær
  • 22MFDenmarkS. Ngabo
  • 1GKDenmarkJ. Ægidius

Silkeborg3-4-2-1

Coach: M. Dahm Kjaergaard

Starting XI

  • 1GKDenmarkA. Andrésen
  • 24DFDenmarkA. Madsen
  • 3DFNorwayR. Østrøm
  • 29DFW. Moller
  • 7MFDenmarkV. Westh
  • 20MFDenmarkM. Larsen
  • 27MFW. Kirk
  • 19MFDenmarkJ. Gammelby
  • 21MFL. Riisgaard
  • 22MFSwedenR. Al Hajj
  • 11FWDenmarkO. Ross

Substitutes

  • 6DFFranceM. de Gevigney
  • 36MFDenmarkJ. Nielsen
  • 30GKDenmarkT. Mikkelsen
  • 33MFDenmarkM. Freundlich
  • 4DFPortugalPedro Ganchas
  • 2DFDenmarkA. Poulsen
  • 23FWM. Hansen
  • 14MFDenmarkS. Berger
  • 26MFDenmarkM. Øxenberg

Match stats

How the match went in numbers.

1.00xG1.48
45Possession, %55
7Shots13
2Shots on target6
7Corners1
3Yellow cards2
1Red cards0
9Fouls14
2Offsides2

How the forecast did

In each forecast type the prediction is one outcome: the most likely one before kick-off.

1 of 3
Main predictions landedresult, half, totals, both to score
All forecast types: landed 63 of 100
  • Match result Missed
    Lyngby Boldklub37%

    Actual: Silkeborg — we had 33%

  • Total goals Missed
    Under 2.558%

    Actual: Over 2.5 — we had 42%

  • Both teams to score Landed
    No51%

The bar is our pre-match probability. The other outcomes of the same forecast are not picks but the probability split: one of home, draw, away always happens.

Model and prices

Our probability next to the probability from the price, with the mark-up removed. The Δ column is the gap in percentage points.

OutcomeModelPriceΔ
1Lyngby Boldklub37%51%2.731.86-14.9
XDraw30%23%3.313.92+7.0
2Silkeborg33%25%3.013.61+7.9

Big gap with the price. The price usually reflects something the model doesn’t know: a new team in the league, few matches, line-ups. Not a tip.

our modelfrom the price, mark-up removed

Form and context

Lyngby Boldklub

  • homeRanders2:1
  • awayMidtjylland2:3
  • homeNordsjaelland3:3
  • awayBrondby2:5
  • homeSilkeborg0:4

Silkeborg

  • awayOdense1:4
  • homeNordsjaelland1:1
  • awaySonderjyskE0:4
  • homeHorsens3:3
  • awayLyngby Boldklub4:0

Head to head

  • 09/18/26Superliga0:4
  • 04/27/25Superliga2:0
  • 04/06/25Superliga1:2
  • 03/09/25Superliga1:0
  • 09/29/24Superliga2:2

League table

Both teams and their nearest neighbours.

#TeamPWDLGoalsPts
7Horsens1344523:2116
8AGF Aarhus1326517:2112
9Silkeborg1326517:2412
10Randers1332813:2111
11Lyngby Boldklub1325619:2811
12SonderjyskE1222817:298

Full breakdown

Every outcome of the forecast published before the match.

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Probabilities are a model estimate, not a guarantee.