Barry Town United vs Cambrian & Clydach: match statistics

Visitors Cambrian & Clydach show clearly superior form over the last 5 matches: 4 wins and 1 draw, 9 goals scored and only 2 conceded, whereas Barry Town United have 2 wins, 2 draws and 1 loss with a 6-4 goal record. Per-match averages over the last 5: Cambrian score 1.8 goals per game, hosts 1.2; the visitors’ defense concedes 0.4 goals per game versus 0.8 for Barry. The efficiency gap also translates to points — 2.6 points per game for Cambrian versus 1.6 for Barry in their last five outings. Lack of detailed seasonal data on possession or xG limits assessment of chance quality, but the visitors’ advantage in wins, goals and average points is clear. On that basis I tip a away win for the visitors.

Cambrian & Clydach have averaged 1.8 goals scored and only 0.4 conceded in their last 5 matches (9 scored, 2 conceded), with xG_for 2.07 vs xG_against 0.66, indicating an effective attack and a tight defense. Barry Town over the same period average 1.2 goals scored and 0.8 conceded (6-4), and their xG_for 1.15 versus xG_against 1.77 suggests that while they create 1.15 xG per match, they allow opponents to generate more chances (1.77 xG against). In the BTTS context, BTTS rate in the last 5 matches is 60% for Barry and 40% for Cambrian — the home side more often records Goal/Goal, but the visitors have in reality conceded only 2 goals in 5 games. Comparing xG_for/xG_against shows a significant asymmetry: Cambrian’s 2.07 xG_for versus Barry’s 1.77 xG_against strongly supports the likelihood that the visitors will score, while Barry’s 1.15 xG_for against Cambrian’s 0.66 xG_against reduces the hosts’ chances of breaking down the visitors’ defense. Based on this I assess a higher probability of No Goal (no BTTS) and propose a split of 35% for BTTS - Yes and 65% for No; tip: No.

Based on the last 5 matches Barry Town averages 1.2 goals scored and 0.8 conceded (6 scored, 4 conceded), while Cambrian & Clydach averages 1.8 scored and 0.4 conceded (9 scored, 2 conceded), yielding a combined 3.0 goals per game. xG values also indicate the scoring tempo: xG_for is 1.15 for the home side and 2.07 for the visitors, with xG_against 1.77 (home) and 0.66 (away), and total xG_for = 3.22. Averaging attack with the opponent’s defense gives expected goals of 0.91 for the home team ((1.15+0.66)/2≈0.91) and 1.92 for the visitors ((2.07+1.77)/2≈1.92), totaling 2.83 goals. A Poisson model with lambda=2.83 yields probability of at least 2 goals ~77% (Over 1.5), Over 2.5 ≈54%, and Over 3.5 ≈31%. Additionally, BTTS in the last 5 matches is 60% for the home side and 40% for the visitors, which supports a moderate chance of both teams scoring and reinforces Over 1.5 as the strongest signal.

The visitors have performed better in their last five matches: they have an 80% win rate and average 2.6 points per game compared to the hosts' 40% win rate and 1.6 points, and offensively they score 1.8 goals per game versus the hosts' 1.2. At Half-Time the statistics are balanced: the visitors average 1.0 goal by the break and the hosts 0.8, and both teams led at the break in 60% of their last five matches. The hosts concede only 0.2 goals on average by Half-Time and have kept a clean sheet at the break in 80% of their last five matches, which increases the likelihood of a draw at Half-Time. In the second half the visitors confirm their advantage: 80% wins in second halves over the last five matches and an average of 0.8 goals in second halves suggest the visitors will decide the match. Therefore my strongest signal is a draw at Half-Time and a visitors' win Full-Time (X/2).