Singida Big Stars vs Mtibwa Sugar: match statistics

I predict a Singida Big Stars win. The hosts generate more high-quality chances: average home xG is 1.12 versus 0.82 away xG for Mtibwa, and Singida averages 7.67 shots per match compared to Mtibwa’s 4.17. Singida scores an average of 0.57 goals in home matches, while Mtibwa only averages 0.25 on the road and fail to score in 75% of their away fixtures; additionally Mtibwa have yet to record an away win this season. Both teams, however, display significant defensive issues — each side conceded 11 goals across the last five matches, and Singida concedes 1.86 goals per home game on average. The home advantage is also supported by possession and shot metrics: Singida averages 51% possession and 7.67 shots per match versus 44% and 4.17 for the visitors, providing the hosts with more opportunities despite a similar number of shots on target (2.0 vs 2.17). I therefore assess the probabilities as 60% for the home win, 25% for a draw and 15% for the away win.

Seasonal statistics are mixed: Singida has BTTS in 70% of matches and scores an average of 1.3 goals per game, while Mtibwa has 25% BTTS and only 0.25 goals per game. However, in the last 5 matches Mtibwa recorded BTTS in 80% of games and Singida only 20%, with both teams conceding 11 goals in those 5 matches (average 2.2 goals per game). xG metrics and attacking efficiency favor goals from both sides: xG against Mtibwa is 1.76 versus 1.20 for Singida, and Singida has a 20% conversion rate with an average of 5.71 shots compared to 4% conversion and 4.17 shots for Mtibwa. Considering the high xG against Mtibwa, the large number of goals conceded in the last 5 matches and Mtibwa’s 80% BTTS in form, a both-teams-to-score scenario looks more likely, hence a BTTS assessment of 62% vs 38% and a recommendation: BTTS - Yes.

The xG-and-defensive-based model yields expected goals: Singida 1.37 (attacking xG 0.98 vs conceded xG Mtibwa 1.76, (0.98+1.76)/2=1.37), Mtibwa 1.01 (attacking xG 0.82 vs conceded xG Singida 1.20, (0.82+1.20)/2=1.01), total 2.38. A Poisson calculation with lambda=2.38 gives probability of Over 1.5 around 69% (1−P(0)−P(1)≈0.69), which aligns with season indicators: Singida has 80% of home matches over 1.5, while Mtibwa has 50%. Over 2.5 is moderately approx. 42% per the model, reflecting mixed signals (Singida 50% Over 2.5 at home vs Mtibwa 13% and a league average of 1.97 goals per match). Shot analysis confirms the home advantage: Singida averages 5.71 shots at 20% conversion (~1.14 goals), Mtibwa averages 4.17 shots at 4% conversion (~0.17 goals), increasing Singida’s share of goals. Given the highest probability of 69% and strong seasonal support for matches with at least two goals, I recommend Over 1.5 as the best line to play.

I forecast X/1 (draw at Half-Time, Singida Big Stars to win Full-Time) because the home side averages 1.3 goals per match versus 0.25 for Mtibwa Sugar and accumulates 1.8 points per match compared to the visitors’ 0.63. Draws dominate at the break – Singida were level at Half-Time in 67% of games, the hosts led at the break in 0% of cases, and Mtibwa led only in 13% of matches, making a draw the most likely Half-Time state. After the break Singida score on average 0.78 goals and register 56% of second-half wins, while Mtibwa manage only 0.13 goals after Half-Time and 13% such wins, so the hosts are more likely to produce a turnaround after the break. Additionally, the hosts convert shots at 20% versus 4% for the visitors and have higher xG (0.98 vs 0.82), while the visitors failed to score in 75% of matches, all of which further increases the probability of a draw at Half-Time and a home win at Full-Time.