Gol Gohar’s home advantage and stronger first-half profile make an early lead the likeliest script: their 0.83 HT xG nearly doubles Arkadag’s 0.43, while 2.86 first-half xCorners points to sustained pressure. Arkadag’s low attack power should limit its threat, and a breakthrough likely opens the match enough for over 1.5 goals as Gol Gohar secure the win.
1Match WinnerGol Gohar Sirjan FC
2Match GoalsOver 1.5
3First Half WinnerGol Gohar Sirjan FC
Probable XI4-4-2
Garoosian
Hasani
Jafari
Hosseini
Zahedi
Rouh
Ashouri
Alizadeh
Ehsanifar
Sadeghnejad
Sheikholeslami
Impact Player Hot Head
Formazioni non ancora annunciate — analisi completa della rosa sotto
Gol Gohar19 giocatori
51.2/ 99Medio
Migliori
1Mohammadreza BordbarMID71
2Mehdi GoudarziMID64
3Mohammad Alinejad HosseinabadFWD64
Arkadag23 giocatori
50.5/ 99Medio
Migliori
1Guychmyrat AnnagulyyevDEF80
2Mirza BeknazarovMID74
3Resul KhozhaevMID64
Gol Gohar28
PlayerValutazioneImpattoAggressivitàDisciplina
Mohammadreza Bordbar71746956
Mehdi Goudarzi64487367
Mohammad Alinejad Hosseinabad64714550
Ehsan Hosseini59575161
Mojtaba Najarian54485061
Mojtaba Fakhrian53458256
Farzin Garoosian52534550
Omid Alishah52544550
Pedram Ghazipour51425361
Mohammadreza Akhbari50494550
Masih Zahedi50524550
Mohammadreza Abbasi50484856
Alireza Ehsanifar49504550
Arkadag31
PlayerValutazioneImpattoAggressivitàDisciplina
Guychmyrat Annagulyyev80695489
Mirza Beknazarov74596383
Resul Khozhaev64485283
Ybraýym Mämmedow59376870
Altymurad Annadurdyev57594456
Rustem Ahallyyev56569956
Mekan Saparov54764829
Shanazar Tirkishov54447761
Resul Çaryýew52539950
Meylis Diniyev52427461
Hangeldi Berdiyev51519950
Velmyrat Ballakov50456052
Abdy Byashimov49614537
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Mohammad Alinejad HosseinabadGol Gohar
71
2
Altymurad AnnadurdyevArkadag
59
3
Omid AlishahGol Gohar
54
4
Mohammadreza AbbasiGol Gohar
48
5
Begench AkmamedovArkadag
46
Muro
Migliori difensori
1
Mekan SaparovArkadag
76
2
Guychmyrat AnnagulyyevArkadag
69
3
Abdy ByashimovArkadag
61
4
Ehsan HosseiniGol Gohar
57
5
Milad KorGol Gohar
57
Controllo
Migliori registi
1
Mohammadreza BordbarGol Gohar
74
2
Ahmet AtayevArkadag
59
3
Mirza BeknazarovArkadag
59
4
Alireza AlizadehGol Gohar
52
5
Alireza EhsanifarGol Gohar
50
Cattivi ragazzi
Più propensi ai cartellini
1
Milad KorGol Gohar
12
Aggressività 56
2
Alireza AlizadehGol Gohar
13
Aggressività 47
3
Sapargulyyev ArzuvgulyArkadag
18
Aggressività 54
4
Dayanch MeredovArkadag
24
Aggressività 73
5
Mekan SaparovArkadag
29
Aggressività 48
Classifica potenza
Più forti in assoluto
1
Guychmyrat AnnagulyyevArkadag
80
2
Mirza BeknazarovArkadag
74
3
Mohammadreza BordbarGol Gohar
71
4
Mehdi GoudarziGol Gohar
64
5
Mohammad Alinejad HosseinabadGol Gohar
64
Domande frequenti
Our Poisson model calculates the probability of every possible scoreline for Gol Gohar vs Arkadag 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 Gol Gohar vs Arkadag 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 Gol Gohar 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 Gol Gohar vs Arkadag 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 Gol Gohar 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.