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
Nejlepší tip
Domácí výhra
58%
Přesný výsledek
Výborná
1-0
10.9%
11.00
Výborná
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%
Combined Bet Builder
4 legs
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
Besiktas JK43 hráči
56.3/ 99Silný
Nejlepší
1Jota SilvaFWD82
2Ernest PokuFWD81
3Tiago DjalóDEF79
Crystal Palace30 hráči
50.6/ 99Průměrný
Nejlepší
1Quinten TimberMID71
2Romain EsseMID71
3Adam WhartonMID69
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Cengiz ÜnderBesiktas JK
99
2
Ilhan FakiliBesiktas JK
99
3
Jota SilvaBesiktas JK
99
4
Ernest PokuBesiktas JK
92
5
Vaclav CernyBesiktas JK
79
Zeď
Nejlepší obránci
1
Tayyip Talha Sanuç Besiktas JK
77
2
Tiago DjalóBesiktas JK
76
3
Emirhan TopçuBesiktas JK
75
4
Felix UduokhaiBesiktas JK
72
5
Gabriel PaulistaBesiktas JK
71
Kontrola
Nejlepší tvůrci hry
1
Orkun Kökçü Besiktas JK
88
2
Kartal YılmazBesiktas JK
79
3
Adam WhartonCrystal Palace
79
4
Junior OlaitanBesiktas JK
71
5
Jefferson LermaCrystal Palace
71
Zlobivci
Nejpravděpodobnější žlutá karta
1
Orkun Kökçü Besiktas JK
1
Agresivita 28
2
Dušan VlahovićBesiktas JK
1
Agresivita 42
3
Emirhan TopçuBesiktas JK
2
Agresivita 71
4
Rıdvan YılmazBesiktas JK
2
Agresivita 40
5
Kartal YılmazBesiktas JK
9
Agresivita 63
Žebříček síly
Nejsilnější celkově
1
Jota SilvaBesiktas JK
82
2
Ernest PokuBesiktas JK
81
3
Tiago DjalóBesiktas JK
79
4
Salih Özcan Besiktas JK
78
5
Ilhan FakiliBesiktas JK
78
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Besiktas JK 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 Besiktas JK 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 Besiktas JK 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 Besiktas JK 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 Besiktas JK 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.