Castellón’s forceful home attack and steady stream of chances should set an aggressive tone, while Sporting’s capable forward line offers a route into the contest; the combined pressure makes a high-scoring finish appear likely.
Match GoalsOver 2.5
En iyi tahmin
Ev sahibi kazanır
60%
Doğru skor
Mükemmel
1-0
11.2%
8.00
Mükemmel
2-0
10.7%
7.50
1-1
10.4%
8.00
2-1
9.9%
8.50
3-0
6.8%
11.00
3-1
6.3%
12.00
0-0
5.9%
13.00
0-1
5.5%
17.00
160%
1.50TOP
X22%
4.00
218%
7.00
1X82%
X240%
1278%
Kombine
3 seçim
Castellón’s powerful attack and solid defensive edge make them the side to back at home, while Sporting’s away threat looks limited. The hosts should create plenty, with Ousmane Camara well placed to turn that pressure into a goal; an open, high-scoring contest looks likely as Castellón drive toward victory.
1Match WinnerCastellón
2Match GoalsOver 2.5
3GoalscorersAnytime
Confirmed XI3-6-1
13
Matthys
22
Mellot
5
Jiménez
4
Sienra
18
Santiago
6
Orozco
21
Martín
8
Barri
14
Córdoba
10
Suero
16
Jakobsen
Impact Player Hot Head
Castellón28 oyuncu
51.7/ 99Orta
En İyiler
1Álvaro MartínMID74
2Antonio GalaMID70
3Diego BarriMID69
Sporting Gijon32 oyuncu
49.4/ 99Orta
En İyiler
1Amadou CoundoulFWD79
2Bruno RubioMID67
3Andrés FerrariFWD65
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Álvaro GarcíaCastellón
75
2
Antonio CasasSporting Gijon
75
3
Amadou CoundoulSporting Gijon
72
4
Rodrigo RêgoCastellón
67
5
Douglas AurélioCastellón
65
Duvar
En iyi savunmacılar
1
Pablo VázquezSporting Gijon
85
2
Jorge Sáenz Sporting Gijon
63
3
Alberto JiménezCastellón
58
4
Agustín SienraCastellón
54
5
Fabrizio BrignaniCastellón
53
Kontrol
En iyi oyun kurucular
1
Israel SueroCastellón
79
2
Jari VlakCastellón
78
3
Àlex CorrederaSporting Gijon
70
4
Antonio GalaCastellón
68
5
Diego BarriCastellón
64
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Marc-Olivier DouéCastellón
1
Agresiflik 74
2
Álvaro GarcíaCastellón
1
Agresiflik 67
3
Dani QueipoSporting Gijon
1
Agresiflik 77
4
Aimar DuñabeitiaSporting Gijon
4
Agresiflik 45
5
Alberto JiménezCastellón
18
Agresiflik 52
Güç sıralaması
Genel olarak en güçlüler
1
Amadou CoundoulSporting Gijon
79
2
Álvaro MartínCastellón
74
3
Antonio GalaCastellón
70
4
Diego BarriCastellón
69
5
Raúl SánchezCastellón
67
Sıkça Sorulan Sorular
Our Poisson model calculates the probability of every possible scoreline for Castellón vs Sporting Gijon 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 Castellón vs Sporting Gijon 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 Castellón 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 Castellón vs Sporting Gijon 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 Castellón 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.