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 | Elche | Valencia |
|---|---|---|
| Recent xG (attack, per-match avg) | 1.04 | 1.32 |
| Recent xGA (defence, per-match avg) | 1.92 | 1.42 |
| Sample size (matches with xG data) | 5 | 5 |
| Rest days since last match | 8 | 8 |
| Season pressing (PPDA, lower = more intense) | 15.1 | 15.6 |
| Matches in the last 7 days | 1 | 1 |
| Matches in the next 7 days | 1 | 1 |
| Travel to this match (km) | 350 | 137 |
What the data says
Elche vs Valencia: what the data says
Home last five: 1.20 points, 0.81 xG for, 2.08 against per game. Away: 1.00 / 1.29 / 1.38.
What is worth noting before kickoff?
What could go against this prediction
Injuries & suspensions
Latest pre-match snapshot from our data source; availability varies by league.
Elche
- injured Fer Niño return: doubtful
- injured Marc Aguado return: Mid November 2026
Valencia
- injured David Otorbi return: Late November 2026
- injured Diego López return: Mid February 2027
- injured Dimitri Foulquier return: Back in training
- injured José Copete return: Back in training
- injured Sergi Canós return: Early November 2026
- injured Umar Sadiq return: Back in training
- suspended Harvey Elliott return: Early November 2026
Head to head
All-time (per our source): Elche 3 · 2 2 draws · 7 Valencia
| Date | Home | Score | Away |
|---|---|---|---|
| 2026-04-11 | Elche | 1 - 0 | Valencia |
| 2026-01-10 | Valencia | 1 - 1 | Elche |
| 2023-04-23 | Elche | 0 - 2 | Valencia |
| 2022-10-15 | Valencia | 2 - 2 | Elche |
| 2022-03-19 | Elche | 0 - 1 | Valencia |
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.
Probabilities are generated by our own statistical model from public match data. AI is used only to explain the evidence and analysis.
Data coverage