· Turkish Cup
Denizli İY Güreller
ATT
5/10
DEF
5/10
vs
Serik Belediyespor
5/10
ATT
4/10
DEF
Scheduled· Thu 8 Oct · 14:00
Best Pick
BTTS
67%
Correct Score
Top
1-1
9.3%
10.76
Top
2-1
9%
11.06
1-2
7%
14.28
2-2
6.8%
14.68
1-0
6.2%
16.22
2-0
6%
16.67
3-1
5.9%
17.05
0-1
4.8%
20.94
148%
2.08TOP
X22%
4.56
230%
3.33
1X70%
X252%
1278%
Probable XI4-4-2
Bağ
Çiftçi
Kahraman
Bayrak
Colak
Ci̇ri̇t
Işık
Üner
Deveci
Açar
Kahraman
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Denizli İY Güreller24 players
No squad metrics available
Ertuğrul BağGK
R. ŞahinGK
Umutcan YenisoyGK
Ekin ÇiftçiDEF
Emirhan KahramanDEF
Kemal BayrakDEF
Mustafa ColakDEF
Nazmi CandoğanDEF
Y. BilginDEF
Yunus Emre DuyanDEF
A. Ci̇ri̇tMID
Emre IşıkMID
Hüseyin Atakan ÜnerMID
Serik Belediyespor8 players
38.6/ 99Developing
Top Rated
1Abdullah BalikuvDEF45
2Sadık ÇiftpınarDEF45
3Ilya SadygovFWD45
Denizli İY Güreller24
PlayerOverall RatingImpactAggressionDiscipline
Ertuğrul Bağ————
R. Şahin————
Umutcan Yenisoy————
Ekin Çiftçi————
Emirhan Kahraman————
Kemal Bayrak————
Mustafa Colak————
Nazmi Candoğan————
Y. Bilgin————
Yunus Emre Duyan————
A. Ci̇ri̇t————
Emre Işık————
Hüseyin Atakan Üner————
Serik Belediyespor26
PlayerOverall RatingImpactAggressionDiscipline
Abdullah Balikuv45454550
Sadık Çiftpınar45454550
Ilya Sadygov45454550
Fatih Yıldırım41393950
Kamil Efe41393950
H. Alpsoy37343450
Oğuz Yılmaz31282850
E. Öğrüce24171750
Baha Karakaya————
Metin Uçar————
Yusuf İslam Atay————
Mehmet Demirözü————
Sirac Susancak————
Player Rankings
Snipers
Top goal threats
1
Ilya SadygovSerik Belediyespor
45
Wall
Top defenders
1
Abdullah BalikuvSerik Belediyespor
45
2
Sadık ÇiftpınarSerik Belediyespor
45
3
Fatih YıldırımSerik Belediyespor
39
4
Kamil EfeSerik Belediyespor
39
5
Oğuz YılmazSerik Belediyespor
28
Control
Top playmakers
1
H. AlpsoySerik Belediyespor
34
2
E. ÖğrüceSerik Belediyespor
17
Bad Boys
Most likely to get booked
1
Abdullah BalikuvSerik Belediyespor
50
2
Fatih YıldırımSerik Belediyespor
50
3
Kamil EfeSerik Belediyespor
50
4
Oğuz YılmazSerik Belediyespor
50
5
Sadık ÇiftpınarSerik Belediyespor
50
Power Rankings
Strongest overall
1
Abdullah BalikuvSerik Belediyespor
45
2
Sadık ÇiftpınarSerik Belediyespor
45
3
Ilya SadygovSerik Belediyespor
45
4
Fatih YıldırımSerik Belediyespor
41
5
Kamil EfeSerik Belediyespor
41

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Denizli İY Güreller vs Serik 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 Denizli İY Güreller vs Serik 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 Denizli İY Güreller 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 Denizli İY Güreller vs Serik 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 Denizli İY Güreller 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.

HubTodayLiveCorrect ScoreAI SignalsPlayer props