· AFC Champions League Two
Arkadag
ATT
4/10
DEF
7/10
vs
Gol Gohar
5/10
ATT
5/10
DEF
Запланирован· Wed 4 Nov · 13:45
Лучший выбор
ОБЕ ЗАБЬЮТ
52%
Точный счёт
Отличная
1-1
11.9%
8.42
Отличная
1-0
11.4%
8.77
2-1
9.5%
10.53
2-0
9.1%
10.97
0-1
7.4%
13.46
0-0
7.1%
14.02
1-2
6.2%
16.15
3-1
5.1%
19.75
150%
1.99TOP
X25%
4.00
225%
4.04
1X75%
X250%
1275%
Probable XI4-4-2
Berdiyev
Byashimov
Annagulyyev
Charyyev
Saparov
Atayev
Rejebov
Amangeldiyew
Durdyyev
Annadurdyev
Atayev
Impact Player Hot Head
Составы ещё не объявлены — полный анализ игроков ниже
Arkadag23 игроков
51.2/ 99Средний
Лучшие
1Guychmyrat AnnagulyyevDEF80
2Mirza BeknazarovMID74
3Resul KhozhaevMID70
Gol Gohar22 игроков
51.0/ 99Средний
Лучшие
1Mohammadreza BordbarMID71
2Amir JafariDEF65
3Mehdi GoudarziMID64
Arkadag31
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Guychmyrat Annagulyyev80675791
Mirza Beknazarov74596383
Resul Khozhaev70565089
Mekan Saparov61805238
Rustem Ahallyyev56569956
Altymurad Annadurdyev56584156
Ybraýym Mämmedow55336469
Meylis Diniyev54417867
Shanazar Tirkishov53409367
Resul Çaryýew52539950
Abdy Byashimov52654241
Hangeldi Berdiyev51529950
Velmyrat Ballakov50456051
Gol Gohar31
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Mohammadreza Bordbar71746956
Amir Jafari65569050
Mehdi Goudarzi64487367
Ehsan Hosseini59575161
Soheil Sahraei56525161
Farzin Garoosian54563950
Mojtaba Najarian54485061
Mojtaba Fakhrian53458256
Louay Ben Hassine52484261
Ali Hasani51465256
Pedram Ghazipour51425361
Mohammadreza Akhbari50494550
Mohammadreza Abbasi50425067
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Mohammad Alinejad HosseinabadGol Gohar
65
2
Altymurad AnnadurdyevArkadag
58
3
Begench AkmamedovArkadag
46
4
Mohammad Amin KazemianGol Gohar
46
5
Enver AnnayevArkadag
45
Стена
Лучшие защитники
1
Mekan SaparovArkadag
80
2
Guychmyrat AnnagulyyevArkadag
67
3
Abdy ByashimovArkadag
65
4
Ehsan HosseiniGol Gohar
57
5
Milad KorGol Gohar
57
Контроль
Лучшие плеймейкеры
1
Mohammadreza BordbarGol Gohar
74
2
Ahmet AtayevArkadag
66
3
Mirza BeknazarovArkadag
59
4
Resul KhozhaevArkadag
56
5
Alireza AlizadehGol Gohar
54
Хулиганы
Склонны к карточкам
1
Mohammad Alinejad HosseinabadGol Gohar
3
2
Milad KorGol Gohar
10
3
Alireza AlizadehGol Gohar
13
4
Sapargulyyev ArzuvgulyArkadag
21
5
Dayanch MeredovArkadag
25
Рейтинг силы
Сильнейшие в целом
1
Guychmyrat AnnagulyyevArkadag
80
2
Mirza BeknazarovArkadag
74
3
Mohammadreza BordbarGol Gohar
71
4
Resul KhozhaevArkadag
70
5
Amir JafariGol Gohar
65

Часто задаваемые вопросы

Our Poisson model calculates the probability of every possible scoreline for Arkadag vs Gol Gohar 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 Arkadag vs Gol Gohar 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 Arkadag 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 Arkadag vs Gol Gohar 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 Arkadag 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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