Trabzonspor’s +26% attacking edge gives them a strong platform to drive the scoring, while Freiburg’s defence is 6% weaker than average and may struggle to contain the hosts. With both sides’ profiles pointing toward openings, Over 2.5 goals as clear favourite looks the most logical outcome.
Match GoalsOver 2.5
Nejlepší tip
Domácí výhra
58%
Přesný výsledek
Výborná
1-1
10.5%
7.00
Výborná
1-0
10.4%
12.00
2-1
9.9%
10.00
2-0
9.9%
15.00
3-1
6.3%
17.00
3-0
6.3%
23.00
0-1
5.5%
13.00
0-0
5.5%
15.00
158%
2.40TOP
X22%
3.60
220%
2.70
1X80%
X242%
1278%
Combined Bet Builder
3 legs
Trabzonspor’s +26% attack power gives them a strong home platform, while Freiburg’s defense is 6% weaker than average. Combined xG of 3.17 points toward an open game and Over 2.5; Trabzonspor look best placed to turn that into a win, with Franculino an anytime threat in the proposed builder.
1Match WinnerTrabzonspor
2Match GoalsOver 1.5
3GoalscorersAnytime
Confirmed XI4-5-1
24
Onana
20
Pina
27
Nwaiwu
15
Savic
19
Eskihellaç
6
Fabinho
7
Muci
57
Kabasakal
10
Salah
70
Saviolo
30
Onuachu
Impact Player Hot Head
Trabzonspor43 hráči
50.1/ 99Průměrný
Nejlepší
1Cenk ÖzkacarDEF84
2Arseniy BatagovDEF75
3Chibuike NwaiwuDEF69
SC Freiburg24 hráči
47.0/ 99Průměrný
Nejlepší
1Igor MatanovicFWD78
2Lukas KüblerDEF66
3Yuito SuzukiFWD63
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Cyriaque IriéSC Freiburg
71
2
Igor MatanovicSC Freiburg
71
3
FranculinoTrabzonspor
66
4
Noah Jose SavioloTrabzonspor
64
5
Paul OnuachuTrabzonspor
62
Zeď
Nejlepší obránci
1
Cenk ÖzkacarTrabzonspor
97
2
Samet AkaydinTrabzonspor
76
3
Chibuike NwaiwuTrabzonspor
67
4
Anthony JungSC Freiburg
65
5
Serdar SaatçıTrabzonspor
63
Kontrola
Nejlepší tvůrci hry
1
Christ Inao Oulaï Trabzonspor
73
2
Salih MalkoçoğluTrabzonspor
71
3
Benjamin Bouchouari Trabzonspor
63
4
Rouven TarnutzerSC Freiburg
54
5
Okay Yokuşlu Trabzonspor
53
Zlobivci
Nejpravděpodobnější žlutá karta
1
FabinhoTrabzonspor
1
Agresivita 60
2
Melih KabasakalTrabzonspor
1
Agresivita 77
3
Umut NayirTrabzonspor
1
Agresivita 14
4
Maximilian EggesteinSC Freiburg
1
Agresivita 36
5
Cyriaque IriéSC Freiburg
1
Agresivita 99
Žebříček síly
Nejsilnější celkově
1
Cenk ÖzkacarTrabzonspor
84
2
Igor MatanovicSC Freiburg
78
3
Arseniy BatagovTrabzonspor
75
4
Chibuike NwaiwuTrabzonspor
69
5
Felipe AugustoTrabzonspor
68
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Trabzonspor vs SC Freiburg 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 SC Freiburg 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 SC Freiburg 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.