Entebbe UPPC vs Calvary: match statistics

Entebbe UPPC has a clear defensive advantage at home — they concede 0.67 goals per game on average and keep a clean sheet in 50% of matches, while Calvary concedes 2.00 goals per away game on average and has only a 17% clean sheet rate. Offensively the hosts score 0.58 goals per home match on average (21 goals this season, 3 in the last 5), with home xG of 1.71 and an average of 14.14 shots, indicating chance creation but low finishing efficiency. The visitors score 0.33 goals per away game (10 goals this season), have an xG of 1.14 and average 8.27 shots, and fail to score in 75% of away matches, underscoring their finishing issues. Calvary are, however, in better recent form (2 wins, 2 draws, 1 loss and 1.6 points per game), while Entebbe have only 0.8 points per game in their last 5, so the visitors arrive with a positive trend. Considering the difference in goals conceded (0.67 vs 2.00), the hosts’ possession advantage (55% vs 41%) and Calvary’s clear problem scoring on the road, I forecast an Entebbe win with a low total number of goals.

Seasonal BTTS indicators are low: Entebbe UPPC 17% and Calvary 25%, averaging around 21% base probability of both teams scoring. The league has a very high clean sheet rate — 77% of matches — with home teams keeping a clean sheet in 50% of fixtures while away teams do so in 17%, which favors the “No Goal” scenario. Although Entebbe’s xG is 1.91 versus Calvary’s xG conceded of 1.95 (theoretically Entebbe should create chances), Entebbe scores only 0.5 goals per game on average and has a conversion rate of 0.0%, while Calvary has a seasonal goals average of 0.33, so real finishing efficiency is low. In the last 5 matches Entebbe had BTTS in 40% of games, whereas Calvary had 0% and conceded a total of 1 goal in those five matches (0.2 per game), which further reduces the likelihood of both teams scoring; therefore I pick “No Goal” (76%) against 24% for BTTS - Yes.

xG indicates significant goal potential: xG for the home side 1.91 and xG against the away side 1.95 (combined 3.33 xG), while seasonal goals averages are only 0.50 for Entebbe and 0.33 for Calvary (together 0.83), demonstrating a large divergence between xG and actual finishing. The home team averages 16.0 shots and 4.0 on target per match with a conversion rate of 0.0%, the visitors 8.27 shots and 2.73 on target with a 4.0% conversion, and additionally the hosts have 50% clean sheets and a low percentage of both-teams-to-score matches (17% and 25%), which favors low-scoring games. Weighting seasonal averages and xG (60% seasonal + 40% xG due to low finishing) yields expected goals of 1.07 for Entebbe and 0.76 for Calvary, a combined 1.83 expected goals. From a Poisson distribution with parameter 1.83 the probability of three or more goals is about 28% (hence under 2.5 ≈72%), and the probability of at least two goals is about 55% (over 1.5 ≈55%). Additionally, seasonal shares of over2.5 are only 8% for home matches and 33% for away (under2.5 respectively 92% and 67%), therefore the strongest and most reliable signal from the data is under 2.5.

The most likely scenario is a draw at half-time and a home win at full-time (X/1). The home side draws at the break in 55% of matches (drawingAtHTPercentage_home = 55.0), and both teams score little in the first half: on average 0.18 (home) vs 0.17 (away) (scoredAVGHT_home = 0.18, scoredAVGHT_away = 0.17). After the break Entebbe has the edge — average xG for the home team is 1.91 versus 1.14 for the away team (xg_for_avg_home = 1.91, xg_for_avg_away = 1.14) and 16.0 shots per match compared to 8.27 (shotsAVG_home = 16.0, shotsAVG_away = 8.27). The visitors are weak in second halves: they concede on average 1.00 goals after the break (conceded_2hg_avg_away = 1.0) and have no away wins (winPercentage_away = 0.0), so with a draw at half-time the home team has a real chance to turn the result in their favor. Therefore I assign X/1 a 33% probability, X/X 19% as the second option, and 2/2 30% as an alternative arising from the fact that the home side leads at the break in only 9% of cases (leadingAtHTPercentage_home = 9.0).