Lyngby vs Viborg prediction
SuperligaRound 16
Lyngby14:00
Sun 29 Nov
Prediction T-24hUpcoming
ViborgMost likelyViborg win · 64%
Oddbert's view
Most likely: Viborg win
Oddbert gives Viborg a 64% chance of winning.
14%Lyngby
22%Draw
64%Viborg
In 100 matches like this, Viborg would win about 64. In the other 36 or so, Viborg doesn't win.
Dot chart of 100 matches like this: Lyngby win 14, Draw 22, Viborg win 64.
Each dot is one match out of 100 like this.
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Prediction
14%1LyngbyLyngby win
22%XDrawDraw
64%2ViborgViborg win
No bookmaker price at forecast time — model onlyNo bookmaker had priced this match when this forecast was made, so it is our model on its own, with no market check.
These are calibrated probabilities. See how closely they've matched real outcomes
Prediction as of 13 Nov 2026
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Match previewSummary
Lyngby meet Viborg. The model leans toward Viborg, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). See the probability bar above for the exact figures.
Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.
Odds comparisonBookmaker odds
Odds include the bookmaker's margin.
Words explained:
No price from a Danish-licensed bookmaker yet
We only show prices from bookmakers with a Danish licence (Spillemyndigheden).
Bookmaker names shown for reference only. No affiliate links.Bookmakers' names are here for reference only. We don't link to them.
Bookmaker odds are turned off. You can turn them back on under Display at the bottom of the page.
Stake sizer
No price from a Danish-licensed bookmaker is recorded for this outcome right now, so we size nothing.
Hypothetical sizing in currency-neutral units, not betting advice. Predictions are probabilities, not guarantees. 18+.
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Even the most likely result, a win for Viborg (64%), doesn't happen in about 36 of 100 matches like this.
Match context
Strength-adjusted form
Lyngby
- L0-1SIL
- W2-1RF
- L2-3FM
- D3-3FN
- L2-5BRO
↑ stronger · = even · ↓ weaker opponent
Viborg
- W2-1ODE
- W1-0AH
- L1-2AAR
- L1-2FM
- W2-0RF
↑ stronger · = even · ↓ weaker opponent
Injuries & absences
Lyngby
Absence data is not available for this match.
Viborg
Absence data is not available for this match.
Head to head
Lyngby 1Draws 3Viborg 1
- VIB 0-2 LYN
- LYN 0-0 VIB
- VIB 1-1 LYN
- LYN 0-0 VIB
- VIB 1-0 LYN
Recent form
Recent form — context only, not a tip.
Lyngby
Goals
- Scored / game
- 1.4last 10
- Conceded / game
- 2.1last 10
- xG for / game
- 1.52last 10
- xG against / game
- 1.75last 10
- Clean sheets
- 1 / 10
- BTTS
- 7 / 10
- Over 2.5
- 6 / 10
Match stats
- Corners
- 4.2last 10
- Shots
- 13.0last 10
- Shots on target
- 4.4last 10
- Fouls
- 13.8last 10
- Yellow cards
- 2.1last 10
Key players
- S. Colyn4G 3A8 apps
- Í. Þorvaldsson3G 2A9 apps
- F. Gytkjær2G 1A9 apps
Viborg
Goals
- Scored / game
- 1.9last 10
- Conceded / game
- 1.1last 10
- xG for / game
- 1.82last 9
- xG against / game
- 1.08last 9
- Clean sheets
- 3 / 10
- BTTS
- 6 / 10
- Over 2.5
- 6 / 10
Match stats
- Corners
- 5.4last 10
- Shots
- 15.7last 10
- Shots on target
- 5.0last 10
- Fouls
- 11.5last 10
- Yellow cards
- 1.3last 10
Key players
- Dorian Hanza6G 1A10 apps
- C. Nouck3G 3A10 apps
- M. Søndergaard2G 3A10 apps
Line movement
Lyngby—
No line movement recorded yet
Draw—
No line movement recorded yet
Viborg—
No line movement recorded yet
Under the hood
How the model sees this match — the drivers and, after full-time, how the prediction scored.
Why this prediction
ExplanationSummary
The model leans toward Viborg, shaped mainly by Pi-rating edge and Elo difference (team-tuned home advantage). This is our own view, not a proven edge. See the probability bar and factor chips above for the exact figures.
Written from the model's main factors with a fixed template, not by the AI. The probabilities come only from our forecast.
How we make these predictionsTop model factors
Pi-rating edge-0.46Elo difference (team-tuned home advantage)-158What's at stake (home)0.27What's at stake (away)0.21League id119Fixture congestion (away)0.00
The driver chips attribute the gradient-boosted component of an ensemble whose headline is additionally anchored to the market where a consensus exists — they explain that part of the number, not all of it.