· Europa Conference League
Trabzonspor
ATT
7/10
DEF
5/10
vs
Hearts
5/10
ATT
4/10
DEF
Naplánováno· Thu 22 Oct · 16:45

AI Match Analysis

Silný útok Trabzonsporu na domácí půdě by měl určovat tempo, zatímco děravá obrana Hearts působí zranitelně při soustavném tlaku. Defenzivní slabiny hostů navíc dávají prostor k odpovědi, takže tento evropský duel má předpoklady pro otevřený závěr plný gólů. Více než 2,5 gólu se jeví jako nejlogičtější výsledek.

Match GoalsOver 2.5
Nejlepší tip
Domácí výhra
61%
Přesný výsledek
Výborná
1-0
10.9%
10.00
Výborná
2-0
10.7%
8.00
1-1
10.1%
11.00
2-1
9.9%
9.00
3-0
7%
9.00
3-1
6.5%
10.00
0-0
5.5%
21.00
0-1
5.1%
29.00
161%
1.25TOP
X21%
6.25
217%
8.50
1X82%
X238%
1278%

Combined Bet Builder

3 legs

Trabzonspor’s 1.55 xG and +31% attack power point to a strong home performance against a Hearts defence rated 24% weaker than average. With 2.89 combined xG, Over 2.5 looks well supported, while Ali Habesoglu is a logical anytime-scorer pick as Trabzonspor press their advantage.

1Match WinnerTrabzonspor
2GoalscorersAnytime
3Match GoalsOver 2.5
Confirmed XI4-4-2
24
Onana
20
Pina
27
Nwaiwu
15
Savic
55
Cabral
6
Fabinho
11
Tufan
10
Salah
8
Bouchouari
58
Şimşir
9
Franculino
Impact Player Hot Head
Trabzonspor43 hráči
50.1/ 99Průměrný
Nejlepší
1Cenk ÖzkacarDEF74
2Arseniy BatagovDEF73
3Benjamin Bouchouari MID71
Hearts29 hráči
48.0/ 99Průměrný
Nejlepší
1Oisin McEnteeDEF76
2Cláudio BragaFWD66
3Laurent MendyMID65
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Noah Jose SavioloTrabzonspor
65
2
Paul OnuachuTrabzonspor
62
3
FranculinoTrabzonspor
60
4
Mohamed SalahTrabzonspor
60
5
Felipe AugustoTrabzonspor
59
Zeď
Nejlepší obránci
1
Craig HalkettHearts
84
2
Cenk ÖzkacarTrabzonspor
80
3
Samet AkaydinTrabzonspor
79
4
Jamie McCart Hearts
68
5
Chibuike NwaiwuTrabzonspor
67
Kontrola
Nejlepší tvůrci hry
1
Salih MalkoçoğluTrabzonspor
71
2
Blair SpittalHearts
70
3
Christ Inao Oulaï Trabzonspor
69
4
Benjamin Bouchouari Trabzonspor
63
5
Yan Dhanda Hearts
63
Zlobivci
Nejpravděpodobnější žlutá karta
1
Stefan SavicTrabzonspor
1
2
Ernest MuciTrabzonspor
1
3
Umut NayirTrabzonspor
1
4
Blair SpittalHearts
1
5
Yan Dhanda Hearts
1
Žebříček síly
Nejsilnější celkově
1
Oisin McEnteeHearts
76
2
Cenk ÖzkacarTrabzonspor
74
3
Arseniy BatagovTrabzonspor
73
4
Benjamin Bouchouari Trabzonspor
71
5
Felipe AugustoTrabzonspor
69

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Trabzonspor vs Hearts 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 Trabzonspor vs Hearts 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 Trabzonspor 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 Trabzonspor vs Hearts 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 Trabzonspor 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.

HubDnesŽivěPřesný výsledekAI SignályPlayer props