· Turkish Cup
Nilüfer Belediye
ATT
5/10
DEF
5/10
vs
Utaş Uşakspor
5/10
ATT
5/10
DEF
Naplánováno· Wed 7 Oct · 11:30
Nejlepší tip
OBÁ SKÓRUJÍ
67%
Přesný výsledek
Výborná
1-1
9.3%
10.74
Výborná
2-1
9.1%
11.03
1-2
7%
14.33
2-2
6.8%
14.72
1-0
6.2%
16.10
2-0
6%
16.53
3-1
5.9%
16.99
0-1
4.8%
20.93
148%
2.07TOP
X22%
4.56
230%
3.35
1X70%
X252%
1278%
Probable XI4-4-2
Erginsoy
Akbulut
Memiş
Uysal
Büyükkaya
Balaban
Bozkurt
Keser
Şen
Dogan
Özdemir
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Nilüfer Belediye4 hráči
45.5/ 99Průměrný
Nejlepší
1Halil İbrahim SevinçMID46
2Muhammet Mirac TokluMID46
3Ahmet MemişDEF45
Utaş Uşakspor5 hráči
44.8/ 99Průměrný
Nejlepší
1Anil KaradagMID46
2F. KaradirekMID46
3Nizamettin ÇalışkanMID46
Nilüfer Belediye28
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Halil İbrahim Sevinç46454550
Muhammet Mirac Toklu46454550
Ahmet Memiş45454550
Kagan Köroglu45454550
Erkam Mecit Erginsoy————
Rıfat Bayhan————
Taha Ayan————
Abdulcebrail Akbulut————
Arda Uysal————
Burak Büyükkaya————
Habil Özbakır————
Talha Ferhat Kumaş————
Yunus Toplu————
Utaş Uşakspor17
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Anil Karadag46454550
F. Karadirek46454550
Nizamettin Çalışkan46454550
Izzet Topatar45454550
Yasin Öztekin41393950
Mert Topuz————
Arif Akbas————
Berkcan Aytac————
Çağan Erciyas————
Doğan Can Otman————
Ömer Yiğit Kirişkuzu————
D. Özçelik————
Emirhan Zaman————
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Izzet TopatarUtaş Uşakspor
45
2
Yasin ÖztekinUtaş Uşakspor
39
Zeď
Nejlepší obránci
1
Ahmet MemişNilüfer Belediye
45
2
Kagan KörogluNilüfer Belediye
45
Kontrola
Nejlepší tvůrci hry
1
Halil İbrahim SevinçNilüfer Belediye
45
2
Muhammet Mirac TokluNilüfer Belediye
45
3
Anil KaradagUtaş Uşakspor
45
4
F. KaradirekUtaş Uşakspor
45
5
Nizamettin ÇalışkanUtaş Uşakspor
45
Zlobivci
Nejpravděpodobnější žlutá karta
1
Ahmet MemişNilüfer Belediye
50
2
Kagan KörogluNilüfer Belediye
50
3
Halil İbrahim SevinçNilüfer Belediye
50
4
Muhammet Mirac TokluNilüfer Belediye
50
5
Anil KaradagUtaş Uşakspor
50
Žebříček síly
Nejsilnější celkově
1
Halil İbrahim SevinçNilüfer Belediye
46
2
Muhammet Mirac TokluNilüfer Belediye
46
3
Anil KaradagUtaş Uşakspor
46
4
F. KaradirekUtaş Uşakspor
46
5
Nizamettin ÇalışkanUtaş Uşakspor
46

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Nilüfer Belediye vs Utaş Uşakspor 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 Nilüfer Belediye vs Utaş Uşakspor 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 Nilüfer Belediye 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 Nilüfer Belediye vs Utaş Uşakspor 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 Nilüfer Belediye 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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