Sangju Sangmu vs Jeju United: match statistics

Jeju United holds a defensive and away-results edge: 43% away wins and 43% clean sheets, conceding 0.86 goals per away match on average, whereas Sangju have 0% home wins and 0% clean sheets. Sangju at home generate more actions — 13.71 shots (3.86 on target), 59% possession and xG 1.64 — but convert that into only 0.71 goals with a low shot accuracy of 5%. Jeju away attempt 9.71 shots (3.71 on target), produce xG 1.26 and a 10% conversion, yielding 1.00 goal per match on average, clearly making better use of their chances. In the last 5 fixtures Sangju conceded 10 goals (2.0 avg) and scored 6, collecting 0.8 points per match, while Jeju conceded 7 and scored 5, achieving 1.2 points; this indicates an advantage for the visitors in points form and defensively. Considering Sangju’s lack of home wins, Jeju’s higher efficiency and their ability to keep clean sheets, the forecast favors an away victory.

I favor the BTTS - Yes scenario and assess probability at 64% vs 36% because in the last 5 matches both teams registered BTTS in 60%: Sangju averaged 1.2 goals scored and 2.0 conceded in that period, while Jeju averaged 1.0 scored and 1.4 conceded. Seasonally Sangju has BTTS 50% and Jeju 43%, with league average BTTS 47%, so the seasonal baseline is moderate but recent form elevates it. xG analysis supports the Yes outcome — Sangju generates 1.62 xG season-to-date and Jeju concedes 1.50 xG on average; Jeju’s seasonal xG is 1.26, however in the last 5 matches Jeju reached 2.17 xG, indicating chance creation. Sangju averages 13.88 shots and 5.13 on target per match vs 9.71 and 3.71 for Jeju, and seasonal clean sheets are 25% (Sangju) and 43% (Jeju) — meaning Jeju concedes in about 57% of matches. Overall seasonal goal figures 15 scored/21 conceded (Sangju) and 13/16 (Jeju) plus the recent 60% BTTS argue in favor of both teams scoring.

Aggregate xG points to a goals game: home xG 1.62, away xG 1.26, total xG 2.88; averaged xG-for and xG-against yield about 1.56 for Sangju and 1.32 for Jeju. A Poisson model with lambda=2.88 estimates ~78% probability of at least 2 goals (Over 1.5), ~55% for at least 3 goals (Over 2.5) and ~33% for 4+ goals (Over 3.5). Creation stats support this: Sangju averages 13.88 shots (5.13 on target) vs Jeju 9.71 (3.71 on target), although the home conversion is lower (5% vs 10%). Season-long figures temper expectations — seasonOver25 is 38% for Sangju and 29% for Jeju, and seasonOver35 = 0% for both — however in the last 5 matches Sangju has 80% Over 2.5, which raises the short-term likelihood of goals. As a result the strongest and safest signal from the data is Over at the 1.5 line; the 2.5 line has moderate backing (~55%), while 3.5 looks too risky (~33%).

The most likely scenario is a draw at half-time and a Jeju victory at full-time (X/2). Jeju led at the break in 43% of matches and record a draw at half-time in 43% of games, while Sangju led in only 25% of first halves, suggesting the visitors have a greater chance of holding a draw at the break or taking a slim lead. Sangju scores an average of 0.25 goals by half-time and concedes 0.38, whereas Jeju scores 0.57 and concedes 0.29 in the first half, so I expect a low number of goals before the break. After the break the home side concedes an average of 0.88 goals; Sangju conceded 4 goals in minutes 46–60, and additionally Jeju has better conversion (10% vs 5%) and a higher season average points return (1.43 vs 1.00), therefore I forecast the visitors will score the decisive goal in the second half.