Jeonnam Dragons vs Cheongju: match statistics

Cheongju have drawn 5 of their last 5 matches and have 9 draws this season, while Jeonnam's last 5 show 0 wins, 3 draws and 2 losses (form dldld), indicating a strong points-sharing trend. Both teams have scored 11 goals this season, but Jeonnam have conceded 17 versus Cheongju's 15, and in the last 5 matches the home side conceded 7 goals versus 4 conceded by the visitors (17 vs 15 and 7 vs 4), pointing to a weaker Jeonnam defence. Chance-creation metrics favor Cheongju — away average xG is 1.28 against xG conceded 1.06, average shots 10.4 with 4.2 on target at 12% conversion and possession 54%, suggesting higher-quality chances. Nevertheless Cheongju have 0 wins this season and 40% of away matches without scoring, so they routinely convert advantages into draws, while Jeonnam have averaged 0.6 points per match in their last 5, limiting the hosts' potential for a full three points. Considering the higher xG and superior shooting stats for the visitors but the extreme draw tendency in both teams, I give the highest probability to a draw (50%), a 30% chance for the visitors to win and 20% for the hosts.

Statistical analysis favors BTTS - Yes. Jeonnam has a seasonal BTTS rate of 83% and Cheongju 60%, averaging 71.5%, above the league level of 61%. Jeonnam’s xG_for is 1.59 vs a season goals scored average of 0.83, indicating they create more expected chances than they convert, while Cheongju’s xG_for is 1.28 vs 1.2 goals, suggesting both teams have goal-scoring potential. Jeonnam concedes 1.5 goals per season on average (1.4 in the last 5), and Cheongju concedes 1.2 per season (0.8 in the last 5), so both defenses are unstable. Additionally, Jeonnam has only 17% clean sheets this season versus Cheongju’s 40%, meaning the home side rarely keeps a clean sheet and increasing the likelihood of BTTS. Considering the 71.5% average BTTS, the 61% league level and recent form at 60% for both sides, I assess BTTS probability at 70% (Yes) vs 30% (No).

xG and statistical analysis indicate a moderately high goal potential: Jeonnam has an attacking xG of 1.59, Cheongju 1.28, and after adjusting for opponent defenses I expect 1.33 goals for Jeonnam and 1.23 for Cheongju, totaling 2.56 expected goals. With combined xG = 2.56 the Poisson model yields roughly a 73% chance of at least 2 goals (Over 1.5), which aligns with season Over 1.5 rates: Jeonnam 83% and Cheongju 60%. For the 2.5 line Poisson estimates about a 47% probability of at least 3 goals, while season Over 2.5 rates are 33% (Jeonnam) and 60% (Cheongju), hence a 47% Over / 53% Under forecast for 2.5. For the 3.5 line the probability of 4+ goals is about 25%, so Under 3.5 (75%) is more likely; additionally home clean sheets are only 17% and both-teams-to-score rates are 83% and 60%, which supports a BTTS scenario and Over 1.5.

The most likely scenario is a draw at half-time and a draw at full-time (X/X) — I assign it a 50% probability, because the home side finished matches drawn in 67% of the season’s fixtures and the away side in 100%, which strongly supports a draw outcome. At half-time the home team averages 0.5 goals and the away team 0.4 (scoredAVGHT_home=0.5 vs scoredAVGHT_away=0.4), i.e. about 0.9 goals to the break overall and a high frequency of HT draws. In the second half the visitors are more active — they average 0.8 goals after the break versus 0.33 for the hosts (scored_2hg_avg_away=0.8 vs scored_2hg_avg_home=0.33) and the hosts concede on average 1.0 goal after the break (conceded_2hg_avg_home=1.0), which is why my secondary scenario is a draw at HT and an away win (X/2). Despite the home side’s higher xG (1.59 vs 1.28), the visitors convert chances better (conversion 12% vs 6% and 4.2 shots on target vs 3.67), and the fact that the hosts conceded 5 goals in minutes 76–90 compared to 1 conceded by the away side increases the risk of a late goal for the visitors and supports X/X as the strongest signal.