· Korea Republic K3 League
Ulsan Citizen FC
ATT
3/10
DEF
6/10
1:2
Siheung Citizen FC
7/10
ATT
7/10
DEF
Bitti
En iyi tahmin
Alt 2.5
58%
Doğru skor47′
Mükemmel
0-1
14.3%
7.00
Mükemmel
1-1
12.2%
7.50
0-2
10.7%
8.00
0-0
9.6%
9.50
1-2
9.1%
10.00
1-0
8.1%
12.00
0-3
5.3%
13.00
2-1
5.2%
17.00
121%
4.68
X26%
3.81
252%
1.91TOP
1X47%
X278%
1273%
xG — Beklenen goller
Ulsan Citizen FC
Ulsan Citizen FC bekl.
Siheung Citizen FC
Siheung Citizen FC bekl.
goal
15 dk'da bir
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Ulsan Citizen FC
Siheung Citizen FC
Probable XI4-4-2
Seon-Il
Ki-Young
Tae-Hwan
Yong-Min
Seong-Hak
Dong-Yun
Han-Sae
Dae-Won
Lee
Jae-Cheol
Kang
Impact Player Hot Head
Kadrolar henüz açıklanmadı — aşağıda tam kadro analizi
Ulsan Citizen FC11 oyuncu
49.5/ 99Orta
En İyiler
1Kim Tae-HwanDEF67
2Kim Jae-CheolFWD54
3Shin Seong-HakDEF53
Siheung Citizen FC13 oyuncu
50.2/ 99Orta
En İyiler
1Ahn Ji-HoDEF59
2Min-young LeeMID57
3Joo Hyun-SungGK53
Ulsan Citizen FC13
PlayerGenel DereceEtkiAgresyonDisiplin
Kim Tae-Hwan67854550
Kim Jae-Cheol54574450
Shin Seong-Hak53623650
Kim Ki-Young51544650
Lee Seon-Il5049950
Ki-Joon Lee49485350
Min-jae Kang48475150
Lee Han-Sae47386350
Sang-Hyun Park46464550
Kim Dong-Yun41393950
Yun Dae-Won38421950
Kim Yong-Min————
Dong-Hyuk Park————
Siheung Citizen FC19
PlayerGenel DereceEtkiAgresyonDisiplin
Ahn Ji-Ho59527750
Min-young Lee57409950
Joo Hyun-Sung5354950
Min-Ho Jo53535450
Kwak Seung-Jo53459950
Kim Dong-Geon52534550
Kim Tae-Heon52544850
Yu-Min Seo52592350
Wan-kyu Kwon50622750
Chang-hwan Oh46464550
Hyung-Jin Park45454250
Lee Seok Hyun41374050
Min-hyeon Kong39364150
Oyuncu sıralamaları
Keskin nişancılar
En büyük gol tehdidi
1
Yu-Min SeoSiheung Citizen FC
59
2
Kim Jae-CheolUlsan Citizen FC
57
3
Kim Tae-HeonSiheung Citizen FC
54
4
Ki-Joon LeeUlsan Citizen FC
48
5
Min-jae KangUlsan Citizen FC
47
Duvar
En iyi savunmacılar
1
Kim Tae-HwanUlsan Citizen FC
85
2
Shin Seong-HakUlsan Citizen FC
62
3
Wan-kyu KwonSiheung Citizen FC
62
4
Kim Ki-YoungUlsan Citizen FC
54
5
Ahn Ji-HoSiheung Citizen FC
52
Kontrol
En iyi oyun kurucular
1
Min-Ho JoSiheung Citizen FC
53
2
Chang-hwan OhSiheung Citizen FC
46
3
Yun Dae-WonUlsan Citizen FC
42
4
Min-young LeeSiheung Citizen FC
40
5
Kim Dong-YunUlsan Citizen FC
39
Yaramaz çocuklar
Kart görme olasılığı en yüksek
1
Lee Seon-IlUlsan Citizen FC
50
2
Kim Ki-YoungUlsan Citizen FC
50
3
Kim Tae-HwanUlsan Citizen FC
50
4
Shin Seong-HakUlsan Citizen FC
50
5
Kim Dong-YunUlsan Citizen FC
50
Güç sıralaması
Genel olarak en güçlüler
1
Kim Tae-HwanUlsan Citizen FC
67
2
Ahn Ji-HoSiheung Citizen FC
59
3
Min-young LeeSiheung Citizen FC
57
4
Kim Jae-CheolUlsan Citizen FC
54
5
Shin Seong-HakUlsan Citizen FC
53

Sıkça Sorulan Sorular

Our Poisson model calculates the probability of every possible scoreline for Ulsan Citizen FC vs Siheung Citizen FC 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 Ulsan Citizen FC vs Siheung Citizen FC 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 Ulsan Citizen FC 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 Ulsan Citizen FC vs Siheung Citizen FC 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 Ulsan Citizen FC 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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