Calvary vs Lugazi Municipal: match statistics

I back the home win (1) — Calvary generates clearly better chances at home: home average xG is 1.91 with 4 shots on target per game, while Lugazi away posts xG 1.19 and only 1.67 shots on target. Visitors have serious efficiency issues on the road: they score on average 0.18 goals per away match, have no away wins (0% wins) and lose 73% of away fixtures. Calvary defends better at home — concedes 0.9 goals per match and keeps a clean sheet in 40% of home games, whereas Lugazi concedes 1.64 goals away and has 27% clean sheets. In the last 5 matches Calvary scored 3 goals and averages 0.8 points per game, while Lugazi scored just 1 goal and averages 0.2 points per game, confirming the home advantage in the short term. Given the very high share of matches where one team fails to score (Calvary failed to score in 70% of home games, Lugazi failed to score in 82% of away games) I still expect a low-scoring match, hence the probability distribution 60/25/15.

Data analysis indicates a "No" outcome for BTTS is more likely: Lugazi failed to score in 82% of matches this season and averages only 0.18 goals per match (0.2 in last 5), which significantly limits the visitors’ scoring chances. Calvary as hosts score 1.27 goals per match and have a season BTTS rate of 55%, but in the last 5 matches they averaged just 0.6 goals per match and had BTTS in only 20% of games, so their attacking form has weakened. Qualitative data show home xG at 1.52 vs away 1.19, however the visitors have a shot conversion of only 1% with an average of 1.67 shots on target, so created chances rarely convert into goals for them. Additionally, the league’s BTTS share is 39% while as many as 76% of matches feature at least one clean sheet, which further favors the scenario that at least one team will not score. Based on this I assess the probability of BTTS "No" at about 75% vs 25% for "Yes", because Lugazi’s 82% of matches without a goal, 20% BTTS in the last 5 games and the visitors’ 1% conversion rate provide the strongest signal against both teams scoring.

Based on xG: the hosts have xG_for 1.52 and their opponents xG_against 1.74, yielding an average xG of ~1.63 for Calvary; accounting for the fact that Calvary actually scores 1.27 goals per match (below xG), I adjusted the hosts’ expected output to ~1.40. For Lugazi the xG averages (1.19 vs the hosts’ xG_against 1.83) give ~1.51, but the visitors chronically score only 0.18 goals per match and have a conversion rate of 1%, so I set their adjusted expected goals to ~0.95. Combined this gives 2.35 goals, which in a Poisson model translates to roughly a 68% chance of at least 2 goals (Over 1.5), ~42% for at least 3 (Over 2.5) and ~21% for at least 4 (Over 3.5). Seasonal rates confirm a moderate scoring tendency: Calvary has 73% of matches Over 1.5, Lugazi 55%, while Over 2.5 is 45% for both — this strengthens the signal for Over 1.5 but does not provide strong evidence for Over 2.5/3.5. I pick Over 1.5 as the optimal line given the expected 1.40+0.95=2.35 goals and an approximate 68% probability of reaching two or more goals.

Calvary has a clear advantage in the first half: they led at the break in 45% of matches and score an average of 0.73 goals by half-time versus 0.0 for Lugazi (45.0% vs 0.0% and 0.73 vs 0.0), so a home lead at the break is the most likely outcome. Over the full match the home side average 1.27 goals versus 0.18 for the visitors, with xG of 1.52 for Calvary versus 1.19 for Lugazi; additionally conversion rates are 8.0% vs 1.0% and shots on target 3.3 vs 1.67, all favouring a home win. There is, however, a risk of draws and second-half goals conceded — Calvary concede on average 0.82 goals in the second half and have 5 goals conceded in minutes 46–60 and 4 in 61–75 — therefore I also assign a material probability to X/X and X/1. As a result the highest probability is attributed to the 1/1 scenario (27%), 1/X receives 13%, X/X 18%, and the total of variants ending in an away advantage is only 14%.