Kanchanaburi vs Ratchaburi: match statistics

I predict an away win (2). Ratchaburi sits 3rd with 17 wins this season versus Kanchanaburi’s 4 wins (hosts are 16th), and the goal record 54 scored to 30 conceded versus 29 scored and 53 conceded clearly favors the visitors. In the last 5 matches Ratchaburi have won 4 and scored 14 goals (2.8 per game), while Kanchanaburi have only 1 win and 5 goals (1.0 per game); this translates to 2.4 points per game for the visitors versus 0.8 for the hosts over the last 5. The visitors convert actions more efficiently (16% vs hosts’ 9%) and have higher away possession (55% vs 51% at home), while the hosts’ defense concedes 1.57 goals per game on average versus 1.21 conceded by Ratchaburi away. Despite similar xG figures (1.45 for the hosts at home vs 1.39 for the visitors away), the advantage in efficiency and form makes an Ratchaburi win the most likely outcome.

Seasonal metrics analysis shows Kanchanaburi has BTTS at 53% and Ratchaburi 64%, versus a league average of 56%, providing a baseline signal favoring both teams to score. In the last 5 matches the signal is stronger: Kanchanaburi BTTS 60% and Ratchaburi 80%, with goal output 1.0 scored and 1.8 conceded for the home side and 2.8 scored and 1.0 conceded for the visitors. xG and shot metrics confirm offensive pressure: Kanchanaburi has xG 1.56 and on average 5.07 shots on target, while Ratchaburi concedes xG against of 1.72 and the visitors have a higher conversion rate of 16%, suggesting real scoring chances for both sides. Although Kanchanaburi has 40% clean sheets this season and Ratchaburi only 14%, seasonal goal differences 29–53 (scored–conceded for the home team) versus 54–30 for the visitors indicate weaker home defense and a strong away attack, further increasing BTTS likelihood. On this basis I tip BTTS "Yes" with probability around 75% versus 25% for "No".

Based on xG: Kanchanaburi has xG_for 1.56 while Ratchaburi’s defense has xG_against 1.72 — yielding an expected 1.64 goals for the home side; Ratchaburi has xG_for 1.39 versus the home defense 1.36, i.e. an expected 1.38 goals for the visitors, combined ≈3.02. With λ=3.02 the Poisson distribution gives probability of over 1.5 goals ≈80%, over 2.5 ≈58% and over 3.5 ≈36%. Seasonal data confirm a scoring tendency: over 1.5 occurred in 60% of home matches and 79% of away matches, and in the last 5 games over 2.5 appeared in 60% (Kanchanaburi) and 80% (Ratchaburi). Additionally both teams record over 0.5 in 93% and 100% of matches and BTTS at 53% (home) and 64% (away), which increases the chance of at least two goals in the game. The strongest signal is Over 1.5 with an estimated probability ≈80%, therefore I recommend backing the over at the 1.5 line.

Home side leads at the break more often: Kanchanaburi led at half-time in 7 matches (47%) versus 4 (29%) for Ratchaburi, and the home side’s average goals by half-time is 0.87 vs 0.71 for the visitors. Despite this, Ratchaburi is more effective over full matches — they win 64% of games versus 53% for Kanchanaburi, score an average of 1.93 goals per match vs 1.8, and have a higher shot conversion rate 16% vs 13%, with xG 1.39 for the visitors vs 1.56 for the hosts. Second halves are decisive: the visitors score an average of 1.21 goals after the break vs 0.93 for the hosts, have 100% of matches with at least 0.5 goals after the break (vs 67%) and 64% impactful second-half results, which favors turnarounds and recovering deficits. In the last 5 matches Ratchaburi won 80% of games versus 20% for Kanchanaburi, and the visitors have 1.2 goals at half-time in the last 5 vs 0.2 for the hosts, further confirming their post-break form. Therefore the most likely Half-Time/Full-Time scenario is 1/2 (home leading at the break, visitors winning the match) — I estimate it at 20%, alternatives are 1/1 (14%) or 2/2 (16%).