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Every prediction is logged before kick-off and scored after the final whistle.© 2026 Oddbert. No affiliate links. No betting accepted. · Weather data from OpenWeather (ODbL).

Viking vs Feyenoord prediction

UEFA Champions LeagueUEFA Champions League·Round League Stage - 6
VikingViking
18:45
Tue 8 Dec
Prediction T-24hUpcoming
FeyenoordFeyenoord

Most likelyViking win · 47%

PredictionOddsContextMovementDetails

Oddbert's view

Most likely: Viking win

Oddbert gives Viking a 47% chance of winning.

47%Viking
23%Draw
30%Feyenoord

In 100 matches like this, Viking would win about 47. In the other 53 or so, Viking doesn't win.

Dot chart of 100 matches like this: Viking win 47, Draw 23, Feyenoord win 30.

  • Viking win47
  • Draw23
  • Feyenoord win30

Each dot is one match out of 100 like this.

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Prediction

47%1VikingViking win
23%XDrawDraw
30%2FeyenoordFeyenoord 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

Viking meet Feyenoord. The model leans toward Viking, shaped mainly by Pi-rating edge and Defensive xG form (home). 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 Viking (47%), doesn't happen in about 53 of 100 matches like this.

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  • Odds are hidden.

Match context

Strength-adjusted form

Viking

  1. W↑4-1SF
  2. L↑1-3AV
  3. D↑3-3BM
  4. L↑1-3VS
  5. W↑3-1DZ

↑ stronger · = even · ↓ weaker opponent

Feyenoord

  1. L↓3-5HEE
  2. L↑0-3INT
  3. D↓1-1FS
  4. D↑1-1PE
  5. L=0-1RB

↑ stronger · = even · ↓ weaker opponent

Injuries & absences

Viking

Absence data is not available for this match.

Feyenoord

Absence data is not available for this match.

Head to head

No previous meetings on record.

Recent form

Recent form — context only, not a tip.

Viking

Goals

Scored / game
2.8last 10
Conceded / game
2.0last 10
xG for / game
1.20last 4
xG against / game
2.50last 4
Clean sheets
1 / 10
BTTS
9 / 10
Over 2.5
9 / 10

Match stats

Corners
5.6last 8
Shots
12.0last 8
Shots on target
4.8last 8
Fouls
12.4last 8
Yellow cards
2.0last 8

Key players

Player data from 8 of 10 matches

  • Z. Tripić4G 3A8 apps
  • P. Christiansen3G 1A7 apps
  • E. Botheim2G 1A4 apps

Feyenoord

Goals

Scored / game
2.6last 10
Conceded / game
1.6last 10
xG for / game
2.01last 10
xG against / game
1.19last 10
Clean sheets
3 / 10
BTTS
5 / 10
Over 2.5
6 / 10

Match stats

Corners
5.2last 10
Shots
15.9last 10
Shots on target
6.5last 10
Fouls
9.7last 10
Yellow cards
1.7last 9

Key players

  • Nacho Ferri7G 2A10 apps
  • A. Hadj-Moussa7G 1A10 apps
  • L. Valente2G 3A10 apps

Line movement

Viking—

No line movement recorded yet

Draw—

No line movement recorded yet

Feyenoord—

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 Viking, shaped mainly by Pi-rating edge and Defensive xG form (home). 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 predictions
Top model factors
Pi-rating edge-0.3325%Defensive xG form (home)3.2616%What's at stake (away)0.0014%Away form (away)4.6811%What's at stake (home)0.0010%Elo difference (team-tuned home advantage)21.310%

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.