· AFC Cup
Al Jazira (UAE)
ATT
5/10
DEF
5/10
vs
Al Muharraq
5/10
ATT
5/10
DEF
未开始· Wed 28 Oct · 16:00
最佳推荐
两队进球
53%
精确比分
顶级
1-1
11.7%
8.00
顶级
1-0
10.7%
6.00
2-1
9.6%
10.00
2-0
8.8%
6.50
0-1
7.1%
13.00
0-0
6.6%
8.00
1-2
6.4%
21.00
3-1
5.2%
17.00
150%
1.53TOP
X25%
3.60
225%
5.50
1X75%
X250%
1275%
Probable XI4-4-2
Alhammadi
Abdulrahman
Serrote
Lagrimi
Mendy
Ramadan
Mahmoud
Dennis
Sagna
Almemari
Bougma
Impact Player Hot Head
阵容尚未公布 — 下方为完整球队分析
Al Jazira (UAE)16 球员
51.3/ 99中等
最佳
1Anthony DennisMID72
2Mamadou CoulibalyMID68
3Kristjan AsllaniMID57
Al Muharraq21 球员
52.9/ 99中等
最佳
1Arthur RezendeMID73
2Abdulwahab Al MaloodMID72
3Facundo TobaresFWD69
Al Jazira (UAE)47
Player综合评分影响力侵略性纪律
Anthony Dennis72606178
Mamadou Coulibaly68735361
Kristjan Asllani57614456
Abdallah Ramadan56634550
Willyan Rocha54544756
Khalifa Mubarak53514956
Mohammed Rabii52455161
Malcom Filipe Silva de Oliveira51494956
Talisca 50474756
Ersin Destanoğlu48473950
Rúben Amaral48454556
Ali Almemari47474550
Marcus Meloni45463950
Al Muharraq28
Player综合评分影响力侵略性纪律
Arthur Rezende73565391
Abdulwahab Al Malood72629167
Facundo Tobares69775050
Bruno Araújo dos Santos67436189
Husain Jameel63459961
Anderson Leite56485561
Waleed Al Hayam54655837
Vladan Đekić52523950
Amine Benaddi52534556
Juninho Piauiense52524656
Abdul Wahab Hanan51534650
Sayed Mohamed Jaffer49484550
Ahmed Bughammar49514550
球员排名
狙击手
最大进球威胁
1
Facundo TobaresAl Muharraq
77
2
Juninho PiauienseAl Muharraq
52
3
Malcom Filipe Silva de OliveiraAl Jazira (UAE)
49
4
Vinicius MelloAl Jazira (UAE)
49
5
Ali AlmemariAl Jazira (UAE)
47
城墙
最佳后卫
1
Waleed Al HayamAl Muharraq
65
2
Mohamed AlbannaAl Muharraq
55
3
Willyan RochaAl Jazira (UAE)
54
4
Nermin Mujkic Al Jazira (UAE)
53
5
Amine BenaddiAl Muharraq
53
控制
最佳组织者
1
Mamadou CoulibalyAl Jazira (UAE)
73
2
Abdallah RamadanAl Jazira (UAE)
63
3
Abdulwahab Al MaloodAl Muharraq
62
4
Kristjan AsllaniAl Jazira (UAE)
61
5
Anthony DennisAl Jazira (UAE)
60
坏小子
最可能吃牌
1
Mohamed YusufAl Muharraq
1
2
Vinicius MelloAl Jazira (UAE)
8
3
Nermin Mujkic Al Jazira (UAE)
26
4
Abdullah Al-KhalasiAl Muharraq
37
5
Waleed Al HayamAl Muharraq
37
力量排名
综合最强
1
Arthur RezendeAl Muharraq
73
2
Anthony DennisAl Jazira (UAE)
72
3
Abdulwahab Al MaloodAl Muharraq
72
4
Facundo TobaresAl Muharraq
69
5
Mamadou CoulibalyAl Jazira (UAE)
68

常见问题

Our Poisson model calculates the probability of every possible scoreline for Al Jazira (UAE) vs Al Muharraq 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 Jazira (UAE) vs Al Muharraq 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 Jazira (UAE) 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 Jazira (UAE) vs Al Muharraq 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 Jazira (UAE) 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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