Win, draw and score chances for Eldense v Sabadell, with the goals lines, from our projection model.
Updated 14 November 2026, with the latest team projections.
| Outcome | Chance |
|---|---|
| Eldense win | 38.4% |
| Draw | 30.0% |
| Sabadell win | 31.6% |
| Eldense or draw (1X) | 68.4% |
| Sabadell or draw (X2) | 61.6% |
| Eldense or Sabadell (12) | 70.1% |
| Both teams to score | 46.2% |
| Eldense clean sheet | 34.7% |
| Sabadell clean sheet | 30.3% |
| Score | Chance |
|---|---|
| Eldense 1-1 Sabadell | 14.0% |
| Eldense 1-0 Sabadell | 11.9% |
| Eldense 0-0 Sabadell | 11.2% |
| Eldense 0-1 Sabadell | 10.5% |
| Eldense 2-1 Sabadell | 7.9% |
| Eldense 2-0 Sabadell | 7.5% |
| Eldense 1-2 Sabadell | 7.0% |
| Eldense 0-2 Sabadell | 5.9% |
| Stat | Eldense | Sabadell | Match total |
|---|---|---|---|
| Goals | 1.20 | 1.06 | 2.25 |
| Stat | Line | Over | Under |
|---|---|---|---|
| Goals | Over 0.5 | 88.8% | 11.2% |
| Goals | Over 1.5 | 66.5% | 33.5% |
| Goals | Over 2.5 | 39.2% | 60.8% |
| Goals | Over 3.5 | 19.1% | 80.9% |
| Goals | Over 4.5 | 7.9% | 92.2% |
Our model makes Eldense favourites in Eldense v Sabadell on Sunday 15 November, with a 38% chance of a home win, 30% for the draw and 32% for Sabadell, from projected goals of 1.20 for Eldense and 1.06 for Sabadell.
The most likely score in Eldense v Sabadell is 1-1 at 14%, ahead of 1-0 at 12% and 0-0 at 11%, from our model's projection of 1.20 goals for Eldense and 1.06 for Sabadell, which spreads the rest across every other scoreline.
Our model leans against both teams scoring in Eldense v Sabadell, at 46% yes and 54% no, with Eldense keeping a clean sheet 35% of the time and Sabadell 30%, from projected goals of 1.20 and 1.06.
Our model projects 2.25 goals in Eldense v Sabadell, with over 1.5 goals at 67% and over 2.5 at 39%, and two goals the likeliest total at 27%.
The Eldense v Sabadell simulation turns our projections of 1.20 goals for Eldense and 1.06 for Sabadell into an exact chance for every scoreline, adds those up for the result, both teams to score and the goal lines, then draws 10,000 sample matches from the same model to show the run settling on them.