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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).

Como vs Juventus prediction

Serie ASerie A·Round 13·Stadio Giuseppe Sinigaglia
ComoComo
18:30
Sun 29 Nov
Prediction T-24hUpcoming
JuventusJuventus

Most likelyComo win · 51%

PredictionOddsContextMovementDetails

Oddbert's view

Most likely: Como win

Oddbert gives Como a 51% chance of winning.

51%Como
26%Draw
23%Juventus

In 100 matches like this, Como would win about 51. In the other 49 or so, Como doesn't win.

Dot chart of 100 matches like this: Como win 51, Draw 26, Juventus win 23.

  • Como win51
  • Draw26
  • Juventus win23

Each dot is one match out of 100 like this.

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Prediction

51%1ComoComo win
26%XDrawDraw
23%2JuventusJuventus 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

Como meet Juventus. The model leans toward Como, shaped mainly by Attacking xG form (home) 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 Como (51%), doesn't happen in about 49 of 100 matches like this.

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  • Odds are hidden.

Match context

Strength-adjusted form

Como

  1. L=0-2INT
  2. W↓9-1LEN
  3. W↓1-0VEN
  4. W↓3-1TOR
  5. W↓2-0SAS

↑ stronger · = even · ↓ weaker opponent

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

Injuries & absences

Como

Absence data is not available for this match.

Juventus

Absence data is not available for this match.

Head to head

Como 2Draws 0Juventus 2
  • JUV 0-2 COM
  • COM 2-0 JUV
  • COM 1-2 JUV
  • JUV 3-0 COM

Recent form

Recent form — context only, not a tip.

Como

Goals

Scored / game
2.4last 10
Conceded / game
1.1last 10
xG for / game
1.89last 10
xG against / game
1.16last 10
Clean sheets
3 / 10
BTTS
5 / 10
Over 2.5
5 / 10

Match stats

Corners
4.8last 10
Shots
15.8last 10
Shots on target
6.1last 10
Fouls
9.5last 10
Yellow cards
1.4last 10

Key players

  • N. Paz5G 5A9 apps
  • T. Douvikas8G 1A10 apps
  • Jacobo Ramón Naveros2G 2A10 apps

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

Venue

Venue
Stadio Giuseppe Sinigaglia, Como
Surface
Grass
Capacity
13,602

Line movement

Como—

No line movement recorded yet

Draw—

No line movement recorded yet

Juventus—

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 Como, shaped mainly by Attacking xG form (home) 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
Attacking xG form (home)2.0124%Pi-rating edge0.2614%Home form (home)10.613%League id13513%Attacking xG form (away)1.1912%Expected goals (home)1.2910%

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.