· Europa League
霍芬海姆
ATT
6/10
DEF
6/10
2:3
Beşiktaş
7/10
ATT
6/10
DEF
全场
最佳推荐
两队进球
56%
精确比分46′
顶级
1-1
11.4%
8.00
顶级
1-0
9.9%
11.00
2-1
9.6%
9.00
2-0
8.3%
11.00
0-1
6.7%
17.00
1-2
6.6%
13.00
0-0
5.8%
19.00
2-2
5.5%
12.00
150%
2.01TOP
X24%
4.15
226%
3.83
1X74%
X250%
1276%
xG — Expected Goals
霍芬海姆
霍芬海姆 exp
Beşiktaş
Beşiktaş exp
goal
每15分钟
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
霍芬海姆
Beşiktaş
Confirmed XI4-5-1
1
Baumann
34
Coufal
5
Kabak
28
Machida
13
Bernardo
18
Burger
7
Avdullahu
27
Kramaric
11
Asllani
14
Daghim
10
Hlozek
Impact Player Hot Head
霍芬海姆23 球员
55.3/ 99强
最佳
1Alexander PrassMID71
2Wouter BurgerMID70
3Koki MachidaDEF68
Beşiktaş42 球员
57.1/ 99强
最佳
1Jota SilvaFWD82
2Ernest PokuFWD81
3Junior OlaitanMID77
球员排名
狙击手
最大进球威胁
1
Cengiz ÜnderBeşiktaş
99
2
Jota SilvaBeşiktaş
99
3
Ernest PokuBeşiktaş
92
4
Ilhan FakiliBeşiktaş
80
5
Vaclav CernyBeşiktaş
79
城墙
最佳后卫
1
Tiago DjalóBeşiktaş
77
2
Tayyip Talha Sanuç Beşiktaş
76
3
Emirhan TopçuBeşiktaş
73
4
Felix UduokhaiBeşiktaş
73
5
Gabriel PaulistaBeşiktaş
72
控制
最佳组织者
1
Orkun Kökçü Beşiktaş
89
2
Wouter Burger霍芬海姆
81
3
Kartal YılmazBeşiktaş
76
4
Junior OlaitanBeşiktaş
70
5
Leon Avdullahu霍芬海姆
69
坏小子
最可能吃牌
1
Adam Daghim霍芬海姆
1
2
Rıdvan YılmazBeşiktaş
1
3
Orkun Kökçü Beşiktaş
1
4
Dušan VlahovićBeşiktaş
1
5
Max Moerstedt霍芬海姆
7
力量排名
综合最强
1
Jota SilvaBeşiktaş
82
2
Ernest PokuBeşiktaş
81
3
Junior OlaitanBeşiktaş
77
4
Tayyip Talha Sanuç Beşiktaş
76
5
Cengiz ÜnderBeşiktaş
76

常见问题

Our Poisson model calculates the probability of every possible scoreline for 霍芬海姆 vs Beşiktaş 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 霍芬海姆 vs Beşiktaş 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 霍芬海姆 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 霍芬海姆 vs Beşiktaş 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 霍芬海姆 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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