· Arabian Gulf League
Al Wasl
ATT
6/10
DEF
8/10
vs
Al Dhafra FC
3/10
ATT
3/10
DEF
Planlandı· Fri 30 Oct · 12:55
En iyi tahmin
Ev sahibi kazanır
69%
Doğru skor
Mükemmel
2-0
11.7%
8.57
Mükemmel
1-0
10.5%
9.57
2-1
9.7%
10.31
3-0
8.7%
11.51
1-1
8.7%
11.51
3-1
7.2%
13.86
4-0
4.8%
20.62
0-0
4.7%
21.37
169%
1.45TOP
X18%
5.46
213%
7.98
1X87%
X231%
1282%
Probable XI4-4-2
Amer
Saleh
Adryelson
Vareta
Hugo 
Ahmed
Puertas
Lima
Alves
Saleh
Bousso
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Al Wasl33 oyuncu
51.4/ 99Orta
En İyiler
1SerginhoFWD86
2Gabriel VaretaDEF77
3AdryelsonDEF73
Al Dhafra FC32 oyuncu
49.5/ 99Orta
En İyiler
1Rostand Delord Menpweh DjoohMID71
2Leonard AmasimekuDEF64
3Zayed Al AmeriFWD64
Al Wasl38
PlayerGenel DereceEtkiAgresyonDisiplin
Serginho86994856
Gabriel Vareta77606391
Adryelson73803382
Malek Janeer72607971
Tahnoon Al-Zaabi67556272
Ridwan Popoola65478071
Hugo 61405583
Takashi Uchino61317591
Siaka Sidibe60605060
Nicolás Giménez59754143
Abdulrahman Saleh58269991
Pedro Malheiro57256391
Miguel Borja57605449
Al Dhafra FC39
PlayerGenel DereceEtkiAgresyonDisiplin
Rostand Delord Menpweh Djooh71545884
Leonard Amasimeku64525376
Zayed Al Ameri64752850
Mansor Al Harbi62358191
Zé Welinton60515667
Serafim59544569
Arielson59486972
Marcelinho59486474
Dramane Koumare58742756
Feras Saleh Alkhaseebi57564761
Mohammed Ibrahim Al Hammadi55746311
Ezeckiel Noumonvi54403985
Vitinho54623950
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
SerginhoAl Wasl
99
2
Brahian PalaciosAl Wasl
79
3
Zayed Al AmeriAl Dhafra FC
75
4
Mohammed Ibrahim Al HammadiAl Dhafra FC
74
5
Renato JúniorAl Wasl
62
Duvar
En iyi savunmacılar
1
AdryelsonAl Wasl
80
2
Dramane KoumareAl Dhafra FC
74
3
Mouhcine RabjaAl Dhafra FC
70
4
Sasa IvkovicAl Wasl
65
5
Gabriel VaretaAl Wasl
60
Kontrol
En iyi oyun kurucular
1
Nicolás GiménezAl Wasl
75
2
Renato TapiaAl Wasl
63
3
VitinhoAl Dhafra FC
62
4
Malek JaneerAl Wasl
60
5
Siaka SidibeAl Wasl
60
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Soufiane BouftiniAl Wasl
1
2
Renato TapiaAl Wasl
1
3
Brahian PalaciosAl Wasl
1
4
Mouhcine RabjaAl Dhafra FC
1
5
Yousif AlmarzooqiAl Dhafra FC
1
Güç sıralaması
Genel olarak en güçlüler
1
SerginhoAl Wasl
86
2
Gabriel VaretaAl Wasl
77
3
AdryelsonAl Wasl
73
4
Malek JaneerAl Wasl
72
5
Rostand Delord Menpweh DjoohAl Dhafra FC
71

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Al Wasl vs Al Dhafra FC 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 Al Wasl vs Al Dhafra FC 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 Al Wasl 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 Al Wasl vs Al Dhafra FC 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 Al Wasl 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.

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