· Turkish Cup
Genclerbirligi SK
ATT
5/10
DEF
5/10
vs
Karaköprü Belediyespor
5/10
ATT
5/10
DEF
Scheduled· Thu 29 Oct · 12:30
Best Pick
BTTS
65%
Correct Score
Top
1-1
9.7%
12.00
Top
2-1
9.2%
10.00
1-2
7%
34.00
1-0
6.7%
11.00
2-2
6.6%
21.00
2-0
6.4%
7.50
3-1
5.8%
11.00
0-1
5.2%
41.00
148%
1.18TOP
X22%
5.75
230%
12.00
1X70%
X252%
1278%
Probable XI4-4-2
Çukurcu
Şahindere
Dursun
Çelik
Goutas
Niasse
Varesanovic
Kemaloğlu
Tongya
Traoré
Akgül
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Genclerbirligi SK30 players
61.7/ 99Strong
Top Rated
1Ayaz ÖzcanFWD95
2Samed OnurMID94
3Fıratcan ÜzümDEF91
Karaköprü Belediyespor11 players
44.7/ 99Average
Top Rated
1Batuhan TuncayMID46
2Deniz CebeciMID46
3Firat SariMID46
Genclerbirligi SK53
PlayerOverall RatingImpactAggressionDiscipline
Ayaz Özcan95999969
Samed Onur94999973
Fıratcan Üzüm91969955
Abdurrahim Dursun90959953
Göktan Gürpüz90999956
Ousmane Diabate89999950
Dimitrios Goutas86996956
Matej Hanousek86998150
Yiğit Hamza Aydar82996650
Adama Traoré81829961
Arda Çelik75689956
Thalisson70992850
Oğulcan Ülgün67579956
Karaköprü Belediyespor44
PlayerOverall RatingImpactAggressionDiscipline
Batuhan Tuncay46454550
Deniz Cebeci46454550
Firat Sari46454550
Muhammed Yavas46454550
Yusuf Sengüler46454550
Metin Peker45454550
Arda Koksal45454550
Can Muhammet Vural45454550
Yavuz Alemdar45454550
Berkan Aksoy41393950
G. Demirel41393950
Mertcan Yavuz————
Musa Gürel————
Player Rankings
Snipers
Top goal threats
1
Ayaz ÖzcanGenclerbirligi SK
99
2
Adama TraoréGenclerbirligi SK
82
3
M'Baye Babacar NiangGenclerbirligi SK
62
4
Dilhan DemirGenclerbirligi SK
45
5
Prince MartorGenclerbirligi SK
45
Wall
Top defenders
1
Dimitrios GoutasGenclerbirligi SK
99
2
Matej HanousekGenclerbirligi SK
99
3
ThalissonGenclerbirligi SK
99
4
Yiğit Hamza AydarGenclerbirligi SK
99
5
Fıratcan ÜzümGenclerbirligi SK
96
Control
Top playmakers
1
Göktan GürpüzGenclerbirligi SK
99
2
Ousmane DiabateGenclerbirligi SK
99
3
Samed OnurGenclerbirligi SK
99
4
Franco TongyaGenclerbirligi SK
71
5
Ensar KemaloğluGenclerbirligi SK
64
Bad Boys
Most likely to get booked
1
Ensar ÇavuşoğluGenclerbirligi SK
50
2
Kévin RodriguesGenclerbirligi SK
50
3
Matej HanousekGenclerbirligi SK
50
4
Sinan OsmanoğluGenclerbirligi SK
50
5
ThalissonGenclerbirligi SK
50
Power Rankings
Strongest overall
1
Ayaz ÖzcanGenclerbirligi SK
95
2
Samed OnurGenclerbirligi SK
94
3
Fıratcan ÜzümGenclerbirligi SK
91
4
Abdurrahim DursunGenclerbirligi SK
90
5
Göktan GürpüzGenclerbirligi SK
90

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Genclerbirligi SK vs Karaköprü Belediyespor 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 Genclerbirligi SK vs Karaköprü Belediyespor 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 Genclerbirligi SK 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 Genclerbirligi SK vs Karaköprü Belediyespor 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 Genclerbirligi SK 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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