Mallorca — Las Palmas
☆ Save matchModel prediction and result
In short
Final score 3:1: the model's most likely outcome, Mallorca to win (45%), came true.
Mallorca are clear favourites: 45% against 24% for the opponent, draw 30%.
The model expects few goals: 2.0 in total, against a competition average of 2.6.
Over 2.5 goals — 32%, both teams to score — 39%.
Why
- By the strength ratings the teams are almost level.
Probabilities
| Expected goals: Mallorca — Las Palmas What is xG? | 1.2–0.8 | |
| Mallorca not to lose | 76% | |
| Las Palmas not to lose | 55% | |
| No draw | 70% | |
| Both teams to score: yes | 39% | |
| Both teams to score: no | 61% | |
| Total over 2.5 | 32% | |
| Total under 2.5 | 68% |
183 more model lines in Premium
All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Mallorca
- Mallorca goals
- Las Palmas goals
- Corners and cards
- Full score grid
Form
- 04.10away · Girona0:0
- 27.09Almería0:1
- 19.09away · Real Sociedad B1:0
- 13.09Sabadell2:0
- 05.09away · Eldense0:0
- 04.10Real Valladolid2:2
- 27.09away · Eibar2:3
- 20.09Burgos CF1:2
- 12.09away · Cádiz1:0
- 04.09Leganés0:0
Head to head
- 16.02.2025Mallorca — Las Palmas3:1
- 23.11.2024Las Palmas — Mallorca2:3
- 11.05.2024Mallorca — Las Palmas1:0
- 12.08.2023Las Palmas — Mallorca1:1
Table
Next matches
- EibarMallorca17 October · Segunda Division4630241The model's most likely outcome: 1Model's score: 1:01.9
- Las PalmasCastellón17 October · Segunda Division3129412The model's most likely outcome: 2Model's score: 1:22.7
Segunda Division on the same day
- 3227412The most likely outcome did not happen: 21:0Final score 1:0. Model's score: 1:2.3.2
- 5824181The most likely outcome came true: 13:0Final score 3:0. Model's score: 1:0.3.1
- 372934XThe most likely outcome did not happen: X0:1Final score 0:1. Model's score: 0:0.2.4
This is the model’s statistical estimate, not a recommendation. An outcome at 45% will not happen in roughly 55 matches out of 100. How to read probabilities →