· Turkish Cup
Orduspor 1967
ATT
8/10
DEF
5/10
vs
Karadeniz Ereğli BSK
5/10
ATT
5/10
DEF
Planlandı· Thu 8 Oct · 17:00
En iyi tahmin
Üst 2.5
72%
Doğru skor
Mükemmel
2-1
9.2%
10.86
3-1
7.5%
13.26
1-1
7.5%
13.33
2-0
7.1%
14.06
2-2
6%
16.77
3-0
5.8%
17.17
1-0
5.8%
17.26
3-2
4.9%
20.48
163%
1.59TOP
X18%
5.43
219%
5.31
1X81%
X237%
1282%
Probable XI4-4-2
Özkan
Aybasti
Gun
Eser
Hürcan
Basaran
Altunbaş
Aynacı
Dinç
Sogucak
Kalkan
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Orduspor 19673 oyuncu
46.0/ 99Orta
En İyiler
1Ali Kemal BasaranMID46
2Ogulcan InancMID46
3S. FidanMID46
Karadeniz Ereğli BSK6 oyuncu
45.5/ 99Orta
En İyiler
1Enginalp YamacMID46
2Guler OnurcanMID46
3İsmai̇l ZobuMID46
Orduspor 196733
PlayerGenel DereceEtkiAgresyonDisiplin
Ali Kemal Basaran46454550
Ogulcan Inanc46454550
S. Fidan46454550
B. Özkan————
K. Ersunar————
Mehmet Yağmur————
Onur Guney————
Atakan Aybasti————
Baris Gun————
Berat Efe Eser ————
Emre Gürsel Hürcan————
Mustafa Emre Can————
Nihat Koç————
Karadeniz Ereğli BSK25
PlayerGenel DereceEtkiAgresyonDisiplin
Enginalp Yamac46454550
Guler Onurcan46454550
İsmai̇l Zobu46454550
Berkehan Biçer45454550
Mehmet Gülerer45454550
Vedat Saygı45454550
Ada Çınar Asıl————
Deniz Aydın————
M. Kaya————
Cömert Kandemir————
Kerem Demir————
Salih Mert Aksungur————
Selman Dibek————
Oyuncu sıralamaları
Duvar
En iyi savunmacılar
1
Berkehan BiçerKaradeniz Ereğli BSK
45
2
Mehmet GülererKaradeniz Ereğli BSK
45
3
Vedat SaygıKaradeniz Ereğli BSK
45
Kontrol
En iyi oyun kurucular
1
Ali Kemal BasaranOrduspor 1967
45
2
Ogulcan InancOrduspor 1967
45
3
S. FidanOrduspor 1967
45
4
Enginalp YamacKaradeniz Ereğli BSK
45
5
Guler OnurcanKaradeniz Ereğli BSK
45
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Ali Kemal BasaranOrduspor 1967
50
2
Ogulcan InancOrduspor 1967
50
3
S. FidanOrduspor 1967
50
4
Berkehan BiçerKaradeniz Ereğli BSK
50
5
Mehmet GülererKaradeniz Ereğli BSK
50
Güç sıralaması
Genel olarak en güçlüler
1
Ali Kemal BasaranOrduspor 1967
46
2
Ogulcan InancOrduspor 1967
46
3
S. FidanOrduspor 1967
46
4
Enginalp YamacKaradeniz Ereğli BSK
46
5
Guler OnurcanKaradeniz Ereğli BSK
46

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Orduspor 1967 vs Karadeniz Ereğli BSK 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 Orduspor 1967 vs Karadeniz Ereğli BSK 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 Orduspor 1967 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 Orduspor 1967 vs Karadeniz Ereğli BSK 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 Orduspor 1967 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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