Las Palmas’ home pressure should generate sustained chances, while Sociedad B’s vulnerable back line offers a clear route to goals. Their attacking threat can add to the drama, making the match appear destined to break beyond a cautious stalemate.
Match GoalsOver 2.5
En iyi tahmin
Alt 2.5
52%
Doğru skor
Mükemmel
1-1
12%
6.50
Mükemmel
1-0
11.6%
9.00
2-1
9.4%
9.00
2-0
9.1%
10.00
0-1
7.7%
13.00
0-0
7.4%
12.00
1-2
6.2%
13.00
2-2
4.9%
12.00
150%
2.00TOP
X25%
3.40
225%
3.75
1X75%
X250%
1275%
Kombine
4 seçim
Las Palmas’ home advantage and stronger defensive structure set the platform, while their attacking threat should find openings against a leaky Sociedad B back line. The visitors can contribute to an open contest, with chances and sustained pressure pointing toward a high-scoring game and a busy corner count. Elías Romero looks well placed to seize his moment as Las Palmas take control.
1Match WinnerLas Palmas
2Match GoalsOver 2.5
3GoalscorersAnytime
4Corners Over/UnderOver 8.5
Confirmed XI4-5-1
13
Caro
25
Pezzolesi
4
Suárez
15
Herzog
23
Rodríguez
20
Rodríguez
12
Loiodice
11
Miyashiro
14
Fuster
24
Jaime
10
Jesé
Impact Player Hot Head
UD Las Palmas28 oyuncu
48.3/ 99Orta
En İyiler
1Sandro Ramírez FWD93
2Juanma HerzogDEF69
3Iñaki GonzálezMID66
Real Sociedad B28 oyuncu
53.6/ 99Orta
En İyiler
1Iker CalderonDEF79
2Joan OleagaMID77
3Sydney OsazuwaFWD77
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Sandro Ramírez UD Las Palmas
99
2
Jefté BetancorUD Las Palmas
76
3
Sydney OsazuwaReal Sociedad B
69
4
Dani DíazReal Sociedad B
67
5
Javier SoroetaReal Sociedad B
67
Duvar
En iyi savunmacılar
1
Juanma HerzogUD Las Palmas
79
2
Kazunari KitaReal Sociedad B
76
3
Iker CalderonReal Sociedad B
65
4
Unax LarrañagaReal Sociedad B
65
5
Peru Larrañaga VázquezReal Sociedad B
64
Kontrol
En iyi oyun kurucular
1
Kirian Rodríguez UD Las Palmas
82
2
Joan OleagaReal Sociedad B
76
3
Iñaki GonzálezUD Las Palmas
69
4
Tomy CarbonellReal Sociedad B
64
5
Edward CedeñoUD Las Palmas
63
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Iván JaimeUD Las Palmas
1
Agresiflik 41
2
Elías RomeroUD Las Palmas
1
Agresiflik 62
3
Jon GarroReal Sociedad B
1
Agresiflik 23
4
Alex LebarbierReal Sociedad B
10
Agresiflik 54
5
Sergio Ruiz UD Las Palmas
11
Agresiflik 57
Güç sıralaması
Genel olarak en güçlüler
1
Sandro Ramírez UD Las Palmas
93
2
Iker CalderonReal Sociedad B
79
3
Joan OleagaReal Sociedad B
77
4
Sydney OsazuwaReal Sociedad B
77
5
Kazunari KitaReal Sociedad B
76
Sıkça Sorulan Sorular
Our Poisson model calculates the probability of every possible scoreline for UD Las Palmas vs Real Sociedad B based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.
The Bet Builder combines multiple selections from the UD Las Palmas vs Real Sociedad B match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.
xG (expected goals) measures the quality of scoring chances. If UD Las Palmas has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).
Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for UD Las Palmas vs Real Sociedad B without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.
A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives UD Las Palmas a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.
AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.