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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).

Juventus vs Udinese prediction

Serie ASerie A·Round 14
JuventusJuventus
18:30
Sun 6 Dec
Prediction T-24hUpcoming
UdineseUdinese

Most likelyJuventus win · 64%

PredictionOddsContextMovementDetails

Oddbert's view

Most likely: Juventus win

Oddbert gives Juventus a 64% chance of winning.

64%Juventus
21%Draw
15%Udinese

In 100 matches like this, Juventus would win about 64. In the other 36 or so, Juventus doesn't win.

Dot chart of 100 matches like this: Juventus win 64, Draw 21, Udinese win 15.

  • Juventus win64
  • Draw21
  • Udinese win15

Each dot is one match out of 100 like this.

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Prediction

64%1JuventusJuventus win
21%XDrawDraw
15%2UdineseUdinese 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

Juventus meet Udinese. The model leans toward Juventus, shaped mainly by Pi-rating edge and Expected goals (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 Juventus (64%), doesn't happen in about 36 of 100 matches like this.

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  • Odds are hidden.

Match context

Strength-adjusted form

Juventus

  1. D↓2-2FIO
  2. W↓2-1AA
  3. W=2-0NAP
  4. L↓0-2GEN
  5. W↓2-0LEC

↑ stronger · = even · ↓ weaker opponent

Udinese

  1. L↓1-2VEN
  2. L↑2-5AR
  3. D=0-0PAR
  4. L↑0-2AM
  5. L↓0-3LEC

↑ stronger · = even · ↓ weaker opponent

Injuries & absences

Juventus

Absence data is not available for this match.

Udinese

Absence data is not available for this match.

Head to head

Juventus 4Draws 0Udinese 0
  • UDI 0-1 JUV
  • JUV 3-1 UDI
  • JUV 2-0 UDI
  • UDI 0-2 JUV

Recent form

Recent form — context only, not a tip.

Juventus

Goals

Scored / game
1.5last 10
Conceded / game
1.2last 10
xG for / game
1.40last 10
xG against / game
1.12last 10
Clean sheets
3 / 10
BTTS
5 / 10
Over 2.5
5 / 10

Match stats

Corners
7.1last 10
Shots
15.0last 10
Shots on target
4.4last 10
Fouls
12.6last 10
Yellow cards
1.5last 10

Key players

  • R. Kolo Muani3G 2A10 apps
  • N. Woltemade3G 2A10 apps
  • Douglas Luiz1G 2A10 apps

Udinese

Goals

Scored / game
1.1last 10
Conceded / game
2.4last 10
xG for / game
1.10last 10
xG against / game
2.22last 10
Clean sheets
1 / 10
BTTS
6 / 10
Over 2.5
7 / 10

Match stats

Corners
5.1last 10
Shots
14.3last 10
Shots on target
4.6last 10
Fouls
10.6last 10
Yellow cards
1.5last 10

Key players

  • J. Ekkelenkamp3G 0A10 apps
  • H. Kamara1G 2A10 apps
  • K. Davis0G 2A10 apps

Line movement

Juventus—

No line movement recorded yet

Draw—

No line movement recorded yet

Udinese—

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 Juventus, shaped mainly by Pi-rating edge and Expected goals (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 edge1.0243%Expected goals (home)1.8612%Away form (away)2.6712%Elo difference (team-tuned home advantage)31111%League id1356%Attacking xG form (home)1.196%

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.