· Superliga
Vora
ATT
6/10
DEF
5/10
vs
Dinamo City
5/10
ATT
6/10
DEF
Planlandı· Mon 2 Nov · 12:30
En iyi tahmin
Alt 2.5
55%
Doğru skor
Mükemmel
1-1
12.6%
7.00
Mükemmel
1-0
12.2%
9.50
2-1
9%
13.00
0-1
8.8%
8.00
2-0
8.7%
15.00
0-0
8.5%
9.00
1-2
6.5%
11.00
2-2
4.6%
17.00
146%
2.80TOP
X27%
3.25
227%
2.20
1X73%
X254%
1273%
Probable XI4-4-2
Betoja
Shiba
Shehi
Asllanaj
Zuna
Trajkov
Hasaj
Dalipi
Kashari
Karrica
Gjyla
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Vora21 oyuncu
42.5/ 99Orta
En İyiler
1Dajan ShehiDEF80
2Konstantinos DionellisDEF65
3Bernard KarricaFWD64
Dinamo City31 oyuncu
53.7/ 99Orta
En İyiler
1Fabjan PërndrecaDEF86
2Ibrahim MustaphaFWD81
3Klevi QefalijaMID77
Vora26
PlayerGenel DereceEtkiAgresyonDisiplin
Dajan Shehi80675891
Konstantinos Dionellis65406991
Bernard Karrica64595872
Cristian Shiba57503089
Brayan Gjyla56574956
Shkëlzen Ruçi5455950
Romeo Harizaj51514550
Orgito Ruci50445356
Rajmond Marinaj45473950
Francesko Hasaj45215372
Dario Daka44422861
Dimitar Trajkov43423950
Milan Kovaci41393950
Dinamo City36
PlayerGenel DereceEtkiAgresyonDisiplin
Fabjan Përndreca86814991
Ibrahim Mustapha81755891
Klevi Qefalija77704591
Florenc Ferruku72626791
Saliou Sembene71564991
Bekim Maliqi70495691
Eridon Qardaku68455991
Mustapha Koma66548291
Adamu Alhassan60316789
H. Berisha59436791
Flamur Ruci57268791
Bruno Dita55492591
Bakary Goudiaby55227091
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Ibrahim MustaphaDinamo City
75
2
Florenc FerrukuDinamo City
62
3
Bernard KarricaVora
59
4
Brayan GjylaVora
57
5
Mustapha KomaDinamo City
54
Duvar
En iyi savunmacılar
1
Fabjan PërndrecaDinamo City
81
2
Dajan ShehiVora
67
3
Saliou SembeneDinamo City
56
4
Ardit ManjaniDinamo City
54
5
B. JamesDinamo City
51
Kontrol
En iyi oyun kurucular
1
Klevi QefalijaDinamo City
70
2
Malomo Taofeek AyodejiDinamo City
70
3
Mario BarjamajVora
63
4
Lorenco VilaDinamo City
53
5
Skender MetaDinamo City
53
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Ersildjo AsllanajVora
1
2
Henri ZunaVora
1
3
Kevin DalipiVora
1
4
Leandro FrrokuVora
1
5
Mario BarjamajVora
1
Güç sıralaması
Genel olarak en güçlüler
1
Fabjan PërndrecaDinamo City
86
2
Ibrahim MustaphaDinamo City
81
3
Dajan ShehiVora
80
4
Klevi QefalijaDinamo City
77
5
Florenc FerrukuDinamo City
72

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Vora vs Dinamo City 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 Vora vs Dinamo City 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 Vora 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 Vora vs Dinamo City 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 Vora 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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