· Turkish Cup
Talasgücü Belediyespor
ATT
5/10
DEF
4/10
vs
Kahta 02 Spor
5/10
ATT
5/10
DEF
Planlandı· Thu 8 Oct · 11:00
En iyi tahmin
KG VAR
67%
Doğru skor
Mükemmel
1-1
9.3%
10.75
Mükemmel
2-1
8.9%
11.18
1-2
7.1%
13.99
2-2
6.9%
14.55
1-0
6.1%
16.52
2-0
5.8%
17.19
3-1
5.7%
17.46
0-1
4.8%
20.66
147%
2.13TOP
X22%
4.54
231%
3.22
1X69%
X253%
1278%
Probable XI4-4-2
Yandal
Bilir
Atabey
Duman
Kırıkcı
Özçelik
Kaban
Şanlitürk
Gençel
Kılıç
Akçakın
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Talasgücü Belediyespor3 oyuncu
45.7/ 99Orta
En İyiler
1Fatih Yiğit ŞanlitürkMID46
2Seyit Ali KahyaMID46
3Hüseyincan KırıkcıDEF45
Kahta 02 Spor3 oyuncu
44.7/ 99Orta
En İyiler
1Berkay CeylanFWD48
2Ü. OkanDEF45
3Ahmet Tuna AkilMID41
Talasgücü Belediyespor22
PlayerGenel DereceEtkiAgresyonDisiplin
Fatih Yiğit Şanlitürk46454550
Seyit Ali Kahya46454550
Hüseyincan Kırıkcı45454550
Kerem Yandal————
Mertcan Dagli————
Ensar Bilir————
Hakan Atabey————
Halil Duman————
Kemal Çetinkaya————
Mehmet Eksik————
Utkan Gökçen————
B. Özçelik————
Caner Kaban————
Kahta 02 Spor11
PlayerGenel DereceEtkiAgresyonDisiplin
Berkay Ceylan48493950
Ü. Okan45454550
Ahmet Tuna Akil41393950
İbrahim Halil Şimşek————
Mustafa Çağlayan————
Oğuzhan Selen————
Muhammed Çoban————
Muhammed Şiyar Eroğlu————
Bedran Ekin————
F. Sağlik————
Mustafa Altunbay————
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Berkay CeylanKahta 02 Spor
49
Duvar
En iyi savunmacılar
1
Hüseyincan KırıkcıTalasgücü Belediyespor
45
2
Ü. OkanKahta 02 Spor
45
Kontrol
En iyi oyun kurucular
1
Fatih Yiğit ŞanlitürkTalasgücü Belediyespor
45
2
Seyit Ali KahyaTalasgücü Belediyespor
45
3
Ahmet Tuna AkilKahta 02 Spor
39
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Hüseyincan KırıkcıTalasgücü Belediyespor
50
2
Fatih Yiğit ŞanlitürkTalasgücü Belediyespor
50
3
Seyit Ali KahyaTalasgücü Belediyespor
50
4
Ü. OkanKahta 02 Spor
50
5
Ahmet Tuna AkilKahta 02 Spor
50
Güç sıralaması
Genel olarak en güçlüler
1
Berkay CeylanKahta 02 Spor
48
2
Fatih Yiğit ŞanlitürkTalasgücü Belediyespor
46
3
Seyit Ali KahyaTalasgücü Belediyespor
46
4
Hüseyincan KırıkcıTalasgücü Belediyespor
45
5
Ü. OkanKahta 02 Spor
45

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Talasgücü Belediyespor vs Kahta 02 Spor 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 Talasgücü Belediyespor vs Kahta 02 Spor 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 Talasgücü Belediyespor 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 Talasgücü Belediyespor vs Kahta 02 Spor 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 Talasgücü Belediyespor 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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