UD Las Palmas vs CD Eldense kick-off time: 08/11/2026 17:30
Match info
Last 5 matches
More- UD Las PalmasWWLLD
- CD EldenseWLWWW
Segunda Division
More| # | Team | P | GD | Pts |
|---|---|---|---|---|
| 12 | CD Tenerife | 11 | -2 | 14 |
| 13 | CD Eldense | 11 | -2 | 14 |
| 14 | UD Las Palmas | 11 | -5 | 14 |
| 15 | Real Valladolid | 11 | 0 | 12 |
Line-ups
Line-ups not announced yetOfficial line-ups usually come about an hour before kick-off.
UD Las Palmas and CD Eldense meet on in Segunda Division.
Pre-match analysis
Not started
- Scoreno
- Statisticsno
- Line-upsyes
- Pitch animationno
- Pressure datano
- Model estimateyes
Before kick-off the model leans towards UD Las Palmas (50%).
Chances to win
Model estimate
How is this calculated?
This is our own statistical model: before kick-off, each team's strength comes from a global team rating built on our results — every league and cup on one scale, linked through European and other cross-league matches — blended with the league's own results when both teams play in it. During the match it is updated with the minute, the score, red cards and the last 15 minutes of pressure (a Poisson goal model with the Dixon-Coles correction for low scores). Without enough data on both teams we show no percentages. It is a probability, not a certainty.
Preview
UD Las Palmas vs CD Eldense: preview
UD Las Palmas have won 2, drawn 1 and lost 2 of their last 5 matches. 7 of UD Las Palmas's last 10 matches had 3 or more goals, and both sides scored in 6. CD Eldense have won 4, drawn 0 and lost 1 of their last 5 matches. 4 of CD Eldense's last 10 matches had 3 or more goals, and both sides scored in 4.
Our pre-match model estimate: UD Las Palmas 50%, draw 25%, CD Eldense 25%.
Match simulation
Model estimate · 20,000 simulationsModel simulation (20,000 runs): UD Las Palmas win in 50% of the simulated matches, 25% end level and CD Eldense win 25%. Average goals 2.8; the most likely score is 1-1 (12%); both teams score in 54%.
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.

