· Turkish Cup
Eskişehirspor
ATT
6/10
DEF
5/10
vs
Igdir FK
5/10
ATT
6/10
DEF
Scheduled· Thu 29 Oct · 17:30
Best Pick
BTTS
65%
Correct Score
Top
1-1
9.5%
9.00
Top
2-1
9.4%
19.00
1-0
6.8%
23.00
2-0
6.7%
41.00
1-2
6.6%
9.00
2-2
6.5%
13.00
3-1
6.2%
41.00
0-1
4.8%
11.00
151%
5.75TOP
X22%
4.10
227%
1.44
1X73%
X249%
1278%
Probable XI4-4-2
Göymen
Çubuk
Öksüz
Kara
Kasap
Çelebi
Tangeldi
Sari
Şen
Dereli
Akman
Impact Player Hot Head
Lineups not yet announced — full squad analysis below
Eskişehirspor8 players
45.5/ 99Average
Top Rated
1Osman ArslantasFWD51
2Firat SariMID46
3Kerem BaykuşMID46
Igdir FK30 players
38.9/ 99Developing
Top Rated
1Gianni BrunoFWD58
2Özder ÖzcanFWD51
3Leandro BacunaMID46
Eskişehirspor49
PlayerOverall RatingImpactAggressionDiscipline
Osman Arslantas51524550
Firat Sari46454550
Kerem Baykuş46454550
Bahadir Yildirim45454550
Murat Senel45454550
Talha Ozler45454550
Hasan Kaya45454550
Sarper Çağlar41393950
Bora Göymen————
Kaan Çinkaya————
Olcay Toplu————
Sadullah Kabayel————
A. Çubuk————
Igdir FK56
PlayerOverall RatingImpactAggressionDiscipline
Gianni Bruno58643450
Özder Özcan51582350
Leandro Bacuna46454550
Ali Yaşar45454550
Güray Vural45454550
Robin Yalçın45454550
Abdul Malik Yilmaz45454550
Felix Afena-Gyan45454550
Burak Bekaroğlu41393950
Caner Cavlan41393950
Cebrail Karayel41393950
Devran Şenyurt41393950
Loic Kouagba41393950
Player Rankings
Snipers
Top goal threats
1
Gianni BrunoIgdir FK
64
2
Özder ÖzcanIgdir FK
58
3
Osman ArslantasEskişehirspor
52
4
Hasan KayaEskişehirspor
45
5
Abdul Malik YilmazIgdir FK
45
Wall
Top defenders
1
Bahadir YildirimEskişehirspor
45
2
Murat SenelEskişehirspor
45
3
Talha OzlerEskişehirspor
45
4
Ali YaşarIgdir FK
45
5
Güray VuralIgdir FK
45
Control
Top playmakers
1
Firat SariEskişehirspor
45
2
Kerem BaykuşEskişehirspor
45
3
Leandro BacunaIgdir FK
45
4
Gökcan KayaIgdir FK
39
5
Valentin EyssericIgdir FK
39
Bad Boys
Most likely to get booked
1
Bahadir YildirimEskişehirspor
50
2
Murat SenelEskişehirspor
50
3
Sarper ÇağlarEskişehirspor
50
4
Talha OzlerEskişehirspor
50
5
Firat SariEskişehirspor
50
Power Rankings
Strongest overall
1
Gianni BrunoIgdir FK
58
2
Osman ArslantasEskişehirspor
51
3
Özder ÖzcanIgdir FK
51
4
Firat SariEskişehirspor
46
5
Kerem BaykuşEskişehirspor
46

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Eskişehirspor vs Igdir FK 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 Eskişehirspor vs Igdir FK 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 Eskişehirspor 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 Eskişehirspor vs Igdir FK 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 Eskişehirspor 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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