Crystal Palace v Nottingham Forest
Crystal Palace, just.
TestedCrystal Palace win about 40 times in 100. The other 60: a draw (29) or a Nottingham Forest win (31).
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).
- Jørgen Strand Larsen19%to score
- Eddie Nketiah15%to score
- Anan Khalaili13%to score
- Yeremi Pino12%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 | Crystal Palace win | Draw | Nottingham Forest win |
|---|---|---|---|---|
| Crystal Palace | ||||
| Top 4 | <1% | 1% | <1% | <1% |
| Bottom 3 | 27% | 20% | 28% | 34% |
| Nottingham Forest | ||||
| Top 4 | 2% | 1% | 2% | 4% |
| Bottom 3 | 13% | 17% | 12% | 8% |
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: Crystal Palace goals down, Nottingham Forest goals across.
| Home goals down, away goals across | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| 0 | 8.3 | 7.5 | 5.3 | 2.2 | 0.7 | 0.2 |
| 1 | 8.9 | 13.8 | 7.5 | 3.1 | 0.9 | 0.2 |
| 2 | 7.0 | 8.6 | 5.6 | 2.2 | 0.7 | 0.2 |
| 3 | 3.3 | 4.1 | 2.5 | 1.1 | 0.3 | 0.1 |
| 4 | 1.2 | 1.5 | 0.9 | 0.4 | 0.1 | · |
| 5 | 0.3 | 0.4 | 0.3 | 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 |
|---|---|---|---|
| Jørgen Strand Larsen | 19% | 3% | 1.6 |
| Eddie Nketiah bench | 15% | 10% | 1.2 |
| Anan Khalaili | 13% | 5% | 1.1 |
| Yeremi Pino | 12% | 16% | 1.6 |
| Jean-Philippe Mateta bench | 11% | <1% | 0.5 |
| Daichi Kamada | 9% | 12% | 1.3 |
| Tyrick Mitchell | 8% | 7% | 0.7 |
| Adam Wharton | 6% | 17% | 1.4 |
| Quinten Timber | 6% | 3% | 0.8 |
| Chris Richards | 6% | 2% | 0.6 |
| Jaydee Canvot | 6% | 1% | 0.5 |
| Dwight McNeil bench | 2% | 2% | 0.4 |
| Honest Ahanor bench | 2% | <1% | 0.2 |
| Takehiro Tomiyasu | 2% | 2% | 0.2 |
| Evann Guessand bench | 2% | 2% | 0.2 |
| Axel Disasi bench | 2% | <1% | 0.2 |
| Daniel Muñoz bench | 2% | 2% | 0.2 |
| Jefferson Lerma bench | 1% | 1% | 0.1 |
| Chadi Riad bench | <1% | 1% | 0.1 |
| Walter Benítez bench | <1% | <1% | 0.0 |
| Dean Henderson | <1% | <1% | 0.0 |
| Player | Score | Assist | Shots |
|---|---|---|---|
| Morgan Gibbs-White | 25% | 13% | 2.0 |
| Liam Delap | 18% | 4% | 1.7 |
| Igor Jesus bench | 15% | 5% | 1.3 |
| Dan Ndoye | 10% | 9% | 1.0 |
| Xaver Schlager | 8% | 6% | 0.9 |
| James McAtee | 8% | 15% | 1.4 |
| Neco Williams | 5% | 9% | 1.1 |
| Daniel Muñoz bench | 5% | 6% | 0.4 |
| Chris Wood bench | 4% | <1% | 0.3 |
| Murillo | 3% | 3% | 0.5 |
| Jair | 3% | 2% | 0.4 |
| Ibrahim Sangare bench | 2% | 2% | 0.2 |
| Ousmane Diomande bench | 2% | 2% | 0.2 |
| Ola Aina | 2% | 2% | 0.4 |
| Nikola Milenkovic | <1% | <1% | 0.2 |
| Matz Sels | <1% | <1% | 0.0 |



