Sunderland v Brighton
Brighton, just.
TestedBrighton win about 42 times in 100. The other 58: a draw (29) or a Sunderland win (29).
Forecast by Vesta, published Wednesday 30 September 2026, 13:25 CEST, before kickoff.
Likely line-ups
Our estimate from recent matches; the confirmed ones replace it about an hour before kickoffPlayers to watch
Model estimateEach player's chance to score and to assist, from Vesta's expected goals for his team, his expected goals and goals per 90 minutes, and the minutes he is likely to play (the likely line-ups above).
- Charalampos Kostoulas29%to score
- Diego Gómez18%to score
- Luka Vuskovic14%to score
- Malick Yalcouyé13%to score
Numbers to expect
Forecast by VestaWhat each side should make in this match, forecast by Vesta from both teams' recent numbers and the match forecast.
What's at stake
Model estimateThe chance of each team finishing first, in the top four or in the bottom three: today, and in the simulated seasons where this match ends in each result.
| Team and chance | Now | Sunderland win | Draw | Brighton win |
|---|---|---|---|---|
| Sunderland | ||||
| Top 4 | 1% | 2% | 1% | <1% |
| Bottom 3 | 19% | 12% | 19% | 24% |
| Brighton | ||||
| Title | 3% | 3% | 2% | 5% |
| Top 4 | 54% | 46% | 49% | 61% |
Goals in the match
TestedExactly
Goals by team
TestedWinning margin
TestedResult combinations
TestedClean sheets
TestedThe first goal
Model estimateWhen it comes
Every score
TestedChance of each score in percent: Sunderland goals down, Brighton goals across.
| Home goals down, away goals across | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 7.9 | 8.9 | 7.4 | 3.7 | 1.4 | 0.4 |
| 1 | 7.0 | 13.5 | 8.9 | 4.5 | 1.7 | 0.5 |
| 2 | 4.8 | 7.2 | 5.7 | 2.7 | 1.0 | 0.3 |
| 3 | 1.9 | 2.9 | 2.2 | 1.1 | 0.4 | 0.1 |
| 4 | 0.6 | 0.9 | 0.7 | 0.3 | 0.1 | · |
| 5 | 0.1 | 0.2 | 0.2 | 0.1 | · | · |
Halves
TestedHalf-time and full-time
TestedWhen the goals come
Model estimateExpected goals in each 15 minutes.
Tested: checked on past matches at this level of detail. Tested in aggregate: checked on a coarser measure. Model estimate: not checked on real data yet. How Vesta works
Every player's chances
Model estimateEveryone likely to play, by chance to score. Minutes: what we expect him to play; shots: how many he should take.
| Player | Score | Assist | Shots |
|---|---|---|---|
| Brian Brobbey | 28% | 6% | 1.6 |
| Enzo Le Fée | 15% | 17% | 1.1 |
| Nilson Angulo | 11% | 8% | 1.0 |
| Dan Ballard | 9% | 4% | 0.9 |
| Wilson Isidor bench | 9% | <1% | 0.7 |
| Nordi Mukiele | 7% | 6% | 0.6 |
| Thomas Meunier | 6% | 9% | 0.8 |
| Noah Sadiki | 5% | 4% | 0.7 |
| Granit Xhaka | 4% | 12% | 0.7 |
| Trai Hume bench | 3% | 3% | 0.4 |
| Malick Fofana bench | 3% | 2% | 0.2 |
| Kevin Danso | 2% | 1% | 0.3 |
| Chemsdine Talbi bench | 1% | <1% | 0.1 |
| Dayann Methalie bench | 1% | 1% | 0.1 |
| Reinildo | 1% | 2% | 0.2 |
| Habib Diarra bench | <1% | <1% | 0.1 |
| Luke O'Nien bench | <1% | <1% | 0.1 |
| Robin Roefs | <1% | <1% | 0.0 |
| Player | Score | Assist | Shots |
|---|---|---|---|
| Charalampos Kostoulas | 29% | 11% | 2.6 |
| Diego Gómez | 18% | 9% | 1.6 |
| Luka Vuskovic | 14% | 2% | 1.0 |
| Malick Yalcouyé | 13% | 7% | 0.9 |
| Maxim De Cuyper | 12% | 18% | 0.9 |
| Pascal Groß | 11% | 17% | 1.1 |
| Yasin Ayari | 9% | 6% | 1.3 |
| Georginio Rutter bench | 4% | 4% | 0.5 |
| Chema Andres bench | 4% | 2% | 0.3 |
| Jack Hinshelwood bench | 4% | 2% | 0.3 |
| Lewis Dunk | 3% | 1% | 0.5 |
| Ferdi Kadioglu | 3% | 3% | 0.5 |
| Mats Wieffer bench | 3% | 4% | 0.3 |
| Olivier Boscagli | 2% | 6% | 0.3 |
| Costinha bench | 2% | 1% | 0.2 |
| Pascal Struijk bench | 1% | <1% | 0.2 |
| Ibrahim Osman bench | 1% | 1% | 0.1 |
| Bart Verbruggen | <1% | <1% | 0.0 |



