· Premier League
米尔-穆甘
ATT
2/10
DEF
4/10
0:0
萨姆加耶特
5/10
ATT
4/10
DEF
全场
最佳推荐
小 2.5
59%
精确比分93′
顶级
1-1
13.2%
7.00
顶级
0-1
11.8%
9.00
1-0
10.8%
9.00
0-0
9.7%
11.00
1-2
8.1%
10.00
2-1
7.3%
10.00
0-2
7.2%
13.00
2-0
6%
13.00
133%
3.01
X28%
3.56
239%
2.58TOP
1X61%
X267%
1272%
xG — Expected Goals
米尔-穆甘
米尔-穆甘 exp
萨姆加耶特
萨姆加耶特 exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
米尔-穆甘
萨姆加耶特
Confirmed XI5-3-2
1
Imanov
23
Vasques
21
Ronaldo
70
Tahirov
13
Viegas
19
Salahli
8
Hernández
5
Ingilabli
6
Moses
7
Juninho
17
Faracov
Impact Player Hot Head
米尔-穆甘28 球员
48.3/ 99中等
最佳
1RonaldoDEF81
2Edwin BangeraDEF74
3Francisco MoraisMID67
萨姆加耶特29 球员
45.3/ 99中等
最佳
1Nikola NinkovićMID67
2Rachid MouminiDEF60
3Renan SantanaDEF60
球员排名
狙击手
最大进球威胁
1
Mamady Bangré萨姆加耶特
65
2
Diogo Almeida米尔-穆甘
49
3
N. Karaklajić米尔-穆甘
45
4
Nihad Orujali萨姆加耶特
45
5
Vüsal Paşayev萨姆加耶特
45
城墙
最佳后卫
1
Ronaldo米尔-穆甘
99
2
Renan Santana萨姆加耶特
79
3
Bakhtiyar Hasanalizada米尔-穆甘
73
4
Easah Suliman萨姆加耶特
64
5
Imani Barker萨姆加耶特
63
控制
最佳组织者
1
Nikola Ninković萨姆加耶特
99
2
Juninho米尔-穆甘
84
3
Emil Mustafayev萨姆加耶特
69
4
Francisco Morais米尔-穆甘
64
5
Farid Nabiyev米尔-穆甘
62
坏小子
最可能吃牌
1
Juninho米尔-穆甘
1
2
Easah Suliman萨姆加耶特
1
3
Nihad Ahmadzada萨姆加耶特
1
4
Sabuhi Abdullazada萨姆加耶特
1
5
Aleksa Janković萨姆加耶特
2
力量排名
综合最强
1
Ronaldo米尔-穆甘
81
2
Edwin Bangera米尔-穆甘
74
3
Francisco Morais米尔-穆甘
67
4
Nikola Ninković萨姆加耶特
67
5
Edwin Fernando Vente Banguera米尔-穆甘
63

常见问题

Our Poisson model calculates the probability of every possible scoreline for 米尔-穆甘 vs 萨姆加耶特 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 米尔-穆甘 vs 萨姆加耶特 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 米尔-穆甘 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 米尔-穆甘 vs 萨姆加耶特 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 米尔-穆甘 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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