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 | Sunderland | Brighton |
|---|---|---|
| Recent xG (attack, per-match avg) | 1.95 | 2.54 |
| Recent xGA (defence, per-match avg) | 1.73 | 1.76 |
| Sample size (matches with xG data) | 5 | 4 |
| Rest days since last match | 20 | 21 |
| Season pressing (PPDA, lower = more intense) | 11.6 | 6.7 |
| Matches in the last 7 days | 0 | 0 |
| Matches in the next 7 days | 3 | 1 |
| Travel to this match (km) | 168 | 459 |
What could go against this prediction
Injuries & suspensions
Latest pre-match snapshot from our data source; availability varies by league.
Sunderland
- injured Brian Brobbey return: Late October 2026
- injured Daniel Ballard return: Late October 2026
- injured Habib Diarra return: Late October 2026
- injured Romaine Mundle return: Early January 2027
Brighton
- injured Evan Ferguson return: Mid October 2026
- injured Femi Azeez return: Late October 2026
- injured Jack Hinshelwood return: doubtful
- injured Kaoru Mitoma return: About a week
- injured Mats Wieffer return: Late October 2026
- injured Stefanos Tzimas return: Late October 2026
- injured Yankuba Minteh return: Mid November 2026
- injured Zadok Yohanna return: Late October 2026
Head to head
All-time (per our source): Sunderland 0 · 2 2 draws · 2 Brighton
| Date | Home | Score | Away |
|---|---|---|---|
| 2026-03-14 | Sunderland | 0 - 1 | Brighton & Hove Albion |
| 2025-12-20 | Brighton & Hove Albion | 0 - 0 | Sunderland |
| 2011-08-23 | Brighton & Hove Albion | 1 - 0 | Sunderland |
| 2010-07-21 | Brighton & Hove Albion | 1 - 1 | Sunderland |
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