Daejeon’s boosted attack and stable back line suggest they control territory and tempo, anchoring the double chance at home. Jeonbuk’s conservative, defense-first shape still leaves spaces on transitions, inviting a response and making both teams to score feel likely, while Daejeon’s sustained pressure points toward a high, stretched scoreline over the goal line.
1Double ChanceDaejeon Citizen FC or Draw
2Match GoalsOver 2.5
3Both Teams to ScoreYes
Probable XI4-4-2
Lee
Kryvotsiuk
Ha
Kim
Oh
Bobsin
Kim
Park
Lee
Oliveira
Ludwigson
Impact Player Hot Head
Sestavy ještě nebyly oznámeny — níže kompletní analýza kádru
Daejeon Citizen FC28 hráči
53.3/ 99Průměrný
Nejlepší
1Jae-hee JeongFWD90
2Jun-beom KimMID86
3Kyu-hyun ParkDEF69
Jeonbuk30 hráči
53.6/ 99Průměrný
Nejlepší
1Italo VargasFWD84
2DodôMID77
3Bruno MotaFWD72
Daejeon Citizen FC37
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Jae-hee Jeong90996161
Jun-beom Kim86994972
Kyu-hyun Park69478787
Diogo Oliveira68599279
Masatoshi Ishida68666464
Yun-sung Kang67437589
Hyeon-sik Lee66528964
Min-kyu Joo64583986
Jong-eun Lim62585067
Anton Kryvotsiuk59605554
Sung-gwon Cho56545256
Jin-su Seo56465378
Jun-seo Lee52529950
Jeonbuk54
PlayerCelkové HodnoceníImpaktAgreseDisciplína
Italo Vargas84994156
Dodô77699172
Bruno Mota72714579
Ye-Geon Kim69477891
Yeong-jae Lee66992735
Seong-ung Maeng64488666
Gytis Paulauskas63558366
Jin-gyu Kim62993620
Andrea Compagno59765118
Bum-keun Song57589656
Tae-ho Jin57367367
Dong-jun Lee57545361
Oberdan56487054
Žebříčky hráčů
Střelci
Největší gólová hrozba
1
Jae-hee JeongDaejeon Citizen FC
99
2
Italo VargasJeonbuk
99
3
Andrea CompagnoJeonbuk
76
4
Bruno MotaJeonbuk
71
5
Tiago OrobóJeonbuk
70
Zeď
Nejlepší obránci
1
Min-duk KimDaejeon Citizen FC
68
2
Wi-je ChoJeonbuk
64
3
Anton KryvotsiukDaejeon Citizen FC
60
4
Jong-eun LimDaejeon Citizen FC
58
5
Ji-su ParkJeonbuk
58
Kontrola
Nejlepší tvůrci hry
1
Jun-beom KimDaejeon Citizen FC
99
2
Jin-gyu KimJeonbuk
99
3
Yeong-jae LeeJeonbuk
99
4
DodôJeonbuk
69
5
Sang-yun KangJeonbuk
55
Zlobivci
Nejpravděpodobnější žlutá karta
1
Min-duk KimDaejeon Citizen FC
1
Agresivita 38
2
Lee Sang-MyungJeonbuk
1
Agresivita 52
3
Tae-hwan KimJeonbuk
8
Agresivita 32
4
Moon-hwan KimDaejeon Citizen FC
13
Agresivita 27
5
Young-bin KimJeonbuk
13
Agresivita 45
Žebříček síly
Nejsilnější celkově
1
Jae-hee JeongDaejeon Citizen FC
90
2
Jun-beom KimDaejeon Citizen FC
86
3
Italo VargasJeonbuk
84
4
DodôJeonbuk
77
5
Bruno MotaJeonbuk
72
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Daejeon Citizen FC vs Jeonbuk 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 Citizen FC vs Jeonbuk 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 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 Daejeon Citizen FC vs Jeonbuk 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 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.