Besiktas’ attack is 23% stronger than average, and Palace’s defense is 5% weaker—an inviting matchup for the hosts. Palace still bring 1.48 xG, enough to threaten even with a subdued attack, while Besiktas add 1.07. With both sides carrying clear routes to goal, Over 2.5 looks the most logical outcome in this high-stakes Europa League clash.
Match GoalsOver 2.5
Лучший выбор
Победа хозяев
58%
Точный счёт
Отличная
1-0
10.9%
11.00
Отличная
1-1
10.6%
7.00
2-0
10.2%
13.00
2-1
9.9%
9.00
3-0
6.4%
21.00
3-1
6.2%
15.00
0-0
5.9%
17.00
0-1
5.7%
15.00
158%
2.10TOP
X22%
3.70
219%
3.25
1X80%
X241%
1277%
Экспресс
4 выборов
Besiktas’ home edge and sharper attack give them the platform to seize control, while Palace’s threat should keep the contest open and invite a lively, corner-rich finish. Vlahovic is the key caveat: his anytime case depends on being confirmed in the lineup, but if selected, he adds a potent route to the goals.
1Match WinnerBesiktas JK
2Match GoalsOver 3.5
3GoalscorersAnytime
4Corners Over/UnderOver 9.5
Confirmed XI4-4-2
1
Nübel
62
Murillo
12
Agbadou
53
Topçu
33
Yılmaz
4
Ndidi
6
Özcan
29
Fakili
15
Olaitan
19
Trossard
28
Vlahović
Impact Player Hot Head
Beşiktaş43 игроков
56.3/ 99Сильный
Лучшие
1Jota SilvaFWD82
2Ernest PokuFWD81
3Tiago DjalóDEF79
Crystal Palace30 игроков
50.6/ 99Средний
Лучшие
1Quinten TimberMID71
2Romain EsseMID71
3Adam WhartonMID69
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Cengiz ÜnderBeşiktaş
99
2
Ilhan FakiliBeşiktaş
99
3
Jota SilvaBeşiktaş
99
4
Ernest PokuBeşiktaş
92
5
Vaclav CernyBeşiktaş
79
Стена
Лучшие защитники
1
Tayyip Talha Sanuç Beşiktaş
77
2
Tiago DjalóBeşiktaş
76
3
Emirhan TopçuBeşiktaş
75
4
Felix UduokhaiBeşiktaş
72
5
Gabriel PaulistaBeşiktaş
71
Контроль
Лучшие плеймейкеры
1
Orkun Kökçü Beşiktaş
88
2
Kartal YılmazBeşiktaş
79
3
Adam WhartonCrystal Palace
79
4
Junior OlaitanBeşiktaş
71
5
Jefferson LermaCrystal Palace
71
Хулиганы
Склонны к карточкам
1
Orkun Kökçü Beşiktaş
1
Агрессия 28
2
Dušan VlahovićBeşiktaş
1
Агрессия 42
3
Emirhan TopçuBeşiktaş
2
Агрессия 71
4
Rıdvan YılmazBeşiktaş
2
Агрессия 40
5
Kartal YılmazBeşiktaş
9
Агрессия 63
Рейтинг силы
Сильнейшие в целом
1
Jota SilvaBeşiktaş
82
2
Ernest PokuBeşiktaş
81
3
Tiago DjalóBeşiktaş
79
4
Salih Özcan Beşiktaş
78
5
Ilhan FakiliBeşiktaş
78
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Beşiktaş vs Crystal Palace 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 Beşiktaş vs Crystal Palace 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 Beşiktaş 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 Beşiktaş vs Crystal Palace 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 Beşiktaş 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.