· K3 League
Daejeon Korail
ATT
5/10
DEF
7/10
vs
Gangneung Citizen FC
5/10
ATT
4/10
DEF
Naplánováno· Fri 2 Oct · 10:00
Nejlepší tip
Domácí výhra
58%
Přesný výsledek
Výborná
1-0
13.2%
6.50
Výborná
2-0
11.4%
8.00
1-1
11.1%
7.50
2-1
9.6%
10.00
0-0
7.6%
8.50
3-0
6.6%
13.00
0-1
6.4%
11.00
3-1
5.6%
17.00
158%
1.75TOP
X24%
3.40
218%
4.00
1X82%
X242%
1276%
Probable XI4-4-2
Chol-Ho
Jun-Seok
Kim
Jeon
Woo-Ram
Han-Jin
Kim
Kim
Kang
Yang
Kim
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Daejeon Korail21 hráči
50.9/ 99Průměrný
Nejlepší
1Kim Jung-JooMID68
2Chang-Hoon YangFWD65
3In-kyu JeonDEF58
Gangneung Citizen FC12 hráči
49.2/ 99Průměrný
Nejlepší
1Hwang Jung-WookDEF58
2Jang Dong-HyukMID58
3Kim Hun-MinDEF56
Daejeon Korail30
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Kim Jung-Joo68884050
Chang-Hoon Yang65648850
In-kyu Jeon58625650
Hyo-On Kang53525650
Kyung-in Baek52534550
Jeon Woo-Ram52515650
Song Min-Jong52417650
Hwang Jun-Seok51652650
Dong-seop Kim51446650
Kim Chol-Ho50493450
Hyun-woo Kim50485350
Yun-jae Nam50603350
Seo-Jun Bae48473450
Gangneung Citizen FC15
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Hwang Jung-Wook58605850
Jang Dong-Hyuk58635550
Kim Hun-Min56477550
Jae-bong Kim54565250
Lee Sung-Yoon53544950
Son Jeong-Min48367250
Sun-ho Kwon47464850
Ju-Yeong Lee46454550
Kwon Yong-Ho46415350
Kim Won-Joon44443750
Hyun-Kyu Lee42347350
Song Tae-Seong38412350
Choe Seong-min————
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Chang-Hoon YangDaejeon Korail
64
2
Lee Sung-YoonGangneung Citizen FC
54
3
Park Ye-ChanDaejeon Korail
45
4
Kim Won-JoonGangneung Citizen FC
44
5
Hyun-Kyu LeeGangneung Citizen FC
34
Zeď
Nejlepší obránci
1
Hwang Jun-SeokDaejeon Korail
65
2
In-kyu JeonDaejeon Korail
62
3
Yun-jae NamDaejeon Korail
60
4
Hwang Jung-WookGangneung Citizen FC
60
5
Jae-bong KimGangneung Citizen FC
56
Kontrola
Nejlepší tvůrci hry
1
Kim Jung-JooDaejeon Korail
88
2
Jang Dong-HyukGangneung Citizen FC
63
3
Hyo-On KangDaejeon Korail
52
4
Sun-ho KwonGangneung Citizen FC
46
5
Lee Kwan-PyoDaejeon Korail
45
Zlobivci
Nejpravděpodobnější žlutá karta
1
Kim Chol-HoDaejeon Korail
50
2
Kyung-in BaekDaejeon Korail
50
3
Seo-Jun BaeDaejeon Korail
50
4
Hwang Jun-SeokDaejeon Korail
50
5
Hyun-woo KimDaejeon Korail
50
Žebříček síly
Nejsilnější celkově
1
Kim Jung-JooDaejeon Korail
68
2
Chang-Hoon YangDaejeon Korail
65
3
In-kyu JeonDaejeon Korail
58
4
Hwang Jung-WookGangneung Citizen FC
58
5
Jang Dong-HyukGangneung Citizen FC
58

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Daejeon Korail vs Gangneung 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 Daejeon Korail vs Gangneung 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 Daejeon Korail 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 Daejeon Korail vs Gangneung 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 Daejeon Korail 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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