UEFA Europa League Round 2 2026-10-15 · 19:00 UTC finished
Celta Vigo (home)
VS Abanca Balaidos, Vigo
Juventus (away)
Prediction
24% Celta Vigo (home)
22% Draw
54% Juventus (away) Model favorite
Expected goals 1.08 — 1.54 Over 2.5 goals: 49% Both teams to score: 52%

Model: history/v2-w1460-r150. Probabilities are produced by our own model from public match data. They are not odds and not betting advice.

Why — recent form

"—" means the number is not available in our data; we never fill gaps with zeros. Recent form covers only matches with expected-goals data, which may be fewer than the team's actual recent fixtures.

Metric Celta Vigo Juventus
Recent xG (attack, per-match avg) 0.921.5
Recent xGA (defence, per-match avg) 1.140.5
Sample size (matches with xG data) 55
Rest days since last match 44
Season pressing (PPDA, lower = more intense) 14.1 9.8
Matches in the last 7 days 11
Matches in the next 7 days 34
Travel to this match (km) 8131540

What could go against this prediction

The model's top probability is below 70%; in backtests matches in this band end as predicted about 53.4% of the time.
no head-to-head data available

Injuries & suspensions

Latest pre-match snapshot from our data source; availability varies by league.

Celta Vigo

  • injured Borja Iglesias return: Late October 2026
  • injured Carl Starfelt return: Early November 2026
  • injured Jones El-Abdellaoui return: Mid January 2027
  • injured Miguel Román return: Early November 2026
  • injured Pablo Durán return: Late October 2026

Juventus

  • injured Jeff Ekhator return: Early November 2026
  • injured Jérémie Boga return: Early November 2026
  • injured Kamil Grabara return: Out for season
  • injured Kenan Yıldız return: Early December 2026
  • injured Khéphren Thuram-Ulien return: Mid January 2027
  • injured Manuel Locatelli return: Late March 2027
Ask AI about this match

Answers are generated from the model probabilities and the published evidence on this page only — the AI cannot see anything else and cannot change the probabilities.

How predictions are made

Probabilities are generated by our own statistical model from public match data. AI is used only to explain the evidence and analysis.

Data coverage

Model probabilities: available Recent xG form: available Injuries & suspensions: available Head to head: unavailable Pressing baseline: available Season context: available