Copa del Rey · Wednesday, 28 October, MSK

Tavernes de la Valldigna — Valencia

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Model prediction for 28 October

Tavernes de la Valldigna5%
Draw12%
Valencia83%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Valencia are clear favourites: 83% against 5% for the opponent, draw 12%.

The model expects plenty of goals: 3.6 in total, against a competition average of 3.1.

Over 2.5 goals — 69%, both teams to score — 45%.

Why

  • By the strength ratings Valencia are about 1.1 goals per match stronger.

Probabilities

Expected goals: Tavernes de la Valldigna — Valencia What is xG?0.7–2.9
Tavernes de la Valldigna not to lose17%
Valencia not to lose95%
No draw88%
Both teams to score: yes45%
Both teams to score: no55%
Total over 2.569%
Total under 2.531%

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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.

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  • Handicap Tavernes de la Valldigna
  • Tavernes de la Valldigna goals
  • Valencia goals
  • Corners and cards
  • Full score grid
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Form

Tavernes de la Valldigna

No past matches in the data yet.

Valencia

  • 11.10away · Racing Santander2:2
  • 20.09Real Sociedad2:3
  • 15.09away · Deportivo Alavés1:0
  • 11.09away · Sevilla0:1
  • 06.09Barcelona0:5

Head to head

No previous meetings in the data.

Copa del Rey on the same day

  • 2The model's most likely outcome: 2Model's score: 0:23.6
  • Coruxo FCZamorapreliminary
    2The model's most likely outcome: 2Model's score: 0:12.8
  • 2The model's most likely outcome: 2Model's score: 0:22.9
  • 2The model's most likely outcome: 2Model's score: 0:12.9
  • 1The model's most likely outcome: 1Model's score: 2:12.8
  • UteboSabadellpreliminary
    2The model's most likely outcome: 2Model's score: 0:13.3
  • AlcoyanoMallorcapreliminary
    2The model's most likely outcome: 2Model's score: 1:23.1
  • 1The model's most likely outcome: 1Model's score: 2:02.8

This is the model’s statistical estimate, not a recommendation. An outcome at 83% will not happen in roughly 17 matches out of 100. How to read probabilities →