Suwon vs Seongnam: match statistics

I predict a home win (Suwon). Suwon has scored 24 goals this season versus Seongnam’s 13 and has doubled Seongnam’s goals in the last 5 matches (10 vs 5). At home Suwon averages 2.2 goals per game with an xG of 1.46 and 12 shots, while Seongnam away averages 1.6 goals, xG 1.35 and 10.8 shots, indicating higher attacking efficiency for the hosts. Defensively Suwon concedes 1.2 goals at home versus Seongnam’s 1.4 conceded away; the hosts are unbeaten at home (0% losses) and have a 60% home win rate. Seongnam posts higher away possession (53% vs 45%), but both teams average the same shots on target (4), and Suwon’s shot conversion is higher (18% vs 15%), which favors Suwon. Considering the goal differential (24 vs 13), better points average in the last 5 matches (1.6 for Suwon vs 1.2 for Seongnam) and the unbeaten home record, I estimate Suwon’s win probability at ~60%, draw 25% and Seongnam win 15%.

I back BTTS - Yes. Seongnam has a season-long BTTS rate of 100%, and Suwon has 100% BTTS in the last 5 matches while Seongnam has 80% in the same sample, producing a very strong signal for both teams to score. Goal stats show Seongnam averages 1.6 scored and 1.4 conceded per match, while Suwon seasonally scores 0.71 and concedes 0.86; additionally Suwon in the last 5 matches averages 2.0 scored and 1.4 conceded, so both sides have been finding the net recently. xG confirms chance creation: Suwon xG for 1.52 versus Seongnam xG against 1.45, and Seongnam xG for 1.35 versus Suwon xG against 1.13, meaning both teams generate ~1.1–1.5 xG per match. Moreover, Seongnam has zero clean sheets this season (0%), the league BTTS is 62%; shots on target are 4.0 for Seongnam vs 3.29 for Suwon, and shot conversion 15% vs 7% also supports goals. Given the strong historical BTTS indicators (100%/100%/80%) and the numbers above, I assess BTTS - Yes probability at 82% versus 18% No.

The xG-based projection yields total expected goals of 2.73: Suwon expected 1.49 goals (attacking xG 1.52 vs opponent xG conceded 1.45), Seongnam 1.24 goals (attacking xG 1.35 vs xG conceded to Suwon 1.13). A Poisson distribution with λ=2.73 gives roughly a 76% chance of at least 2 goals (Over 1.5), about 51% for at least 3 goals (Over 2.5) and around 29% for 4+ goals (Over 3.5). Seongnam shows high efficiency: 4.0 shots on target per match and a 15% conversion rate, plus a season rate of matches over 1.5 goals at 100%, which increases the risk of them contributing goals. Suwon, despite a low actual goals average of 0.71, has xG 1.52 and 3.29 shots on target, indicating they create chances but do not always convert — this presents potential for that inefficiency to be broken. Therefore the strongest signal is to back Over 1.5 (line 1.5) with an implied probability of about 76% based on xG and the goal distribution.

The first-half model shows expected goals to half-time of 0.43 for Suwon and 0.80 for Seongnam; a simple Poisson model yields about a 41% chance of the visitors leading at the break, 40% for a half-time draw, and 19% for the hosts leading. Over the full match Seongnam scores on average 1.6 goals versus Suwon’s 0.71 and wins 40% of fixtures in the season, while Suwon wins only 14%; additionally the finishing rate is 15% for the visitors and 7% for the hosts, which increases the visitors’ chance of victory. Considering xG (1.35 for the visitors versus 1.52 for the hosts) and the higher conversion, I estimate that if the visitors lead at the break they will hold the win in about 55% of cases, making the 2/2 scenario the strongest signal (~23% total probability). However the form over the last 5 matches favors Suwon in the first half (Suwon led at half-time in 60% of the last 5 and averaged 1.0 half-time goals), hence there remain significant probabilities for a half-time draw followed by a visitors’ win (X/2 ≈18%) and for a full-time draw (≈14%).