No model probabilities for this match yet.
Predictions are generated as match data becomes available — check another date or come back later.
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 | Crystal Palace | Hull |
|---|---|---|
| Recent xG (attack, per-match avg) | 1.25 | 1.0 |
| Recent xGA (defence, per-match avg) | 1.66 | 1.53 |
| Sample size (matches with xG data) | 5 | 5 |
| Rest days since last match | 3 | 7 |
| Season pressing (PPDA, lower = more intense) | 15.8 | 16.2 |
| Matches in the last 7 days | 2 | 1 |
| Matches in the next 7 days | 3 | 2 |
| Travel to this match (km) | 0 | 262 |
Injuries & suspensions
Latest pre-match snapshot from our data source; availability varies by league.
Crystal Palace
- injured Chadi Riad return: Late June 2027
- injured Dean Henderson return: doubtful
- injured Jørgen Strand Larsen return: doubtful
- injured Quinten Timber return: doubtful
- injured Takehiro Tomiyasu return: Late November 2026
Hull
- injured Charlie Hughes return: Late October 2026
- injured Darko Gyabi return: Late November 2026
- injured Eliot Matazo return: Early January 2027
- injured Ilyas Ansah return: Early November 2026
- injured Jack Butland return: Early December 2026
- injured Lucas Gourna-Douath return: doubtful
- injured Matt Targett return: Late October 2026
- injured Nobel Mendy return: Late October 2026
Head to head
All-time (per our source): Crystal Palace 3 · 1 1 draws · 2 Hull
| Date | Home | Score | Away |
|---|---|---|---|
| 2017-05-14 | Crystal Palace | 4:0 | Hull |
| 2016-12-10 | Hull | 3:3 | Crystal Palace |
| 2015-04-25 | Crystal Palace | 0:2 | Hull |
| 2014-10-04 | Hull | 2:0 | Crystal Palace |
| 2014-01-28 | Crystal Palace | 1:0 | Hull |
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