Mtibwa Sugar vs Simba: match statistics

Simba is the clear favorite: they sit 2nd versus Mtibwa’s 12th, have 18 wins this season versus 6 and only 1 loss compared to Mtibwa’s 12 at home, demonstrating a large performance gap. The visitors scored 46 goals this season versus Mtibwa’s 23, and Simba’s away goals average is 1.46 with only 0.38 conceded, while Mtibwa at home scores 1.36 and concedes 1.43 per match. Recent form over the last five matches is divergent: Simba won 5 of 5 (PPM 3.0), while Mtibwa has 1 win and 3 losses in their last 5 (PPM 0.8). Situational metrics confirm the visitors’ advantage — on average 9.91 shots and 4.0 on target per match versus 6.78 and 2.44 for the home side, and xG is 1.56 for Simba against 1.09 for Mtibwa, indicating higher-quality chances. Additionally, Simba have 62% clean sheets on the road and 0% away losses, although 31% of away games ended without scoring, therefore I tip a win for the visitors.

Seasonal indicators point to a low probability of BTTS - Yes: Mtibwa has season BTTS at 23% and Simba 38%, versus a league average of 35%. Additionally, both teams record clean sheets frequently — Mtibwa in 69% of matches, Simba in 62%, while the league clean sheet rate is as high as 78%, all favoring No Goal. In the short term there is some deviation: in the last 5 matches Mtibwa had BTTS in 60% and conceded an average of 2.4 goals (12 in 5), whereas Simba scored an average of 1.8 goals (9 in 5) and conceded 0.4 (2 in 5), which increases the likelihood of Simba scoring. Seasonal xG shows moderate chance creation for both sides (Mtibwa xG_for 1.71, Simba xG_for 1.56) with relatively low xG against (Mtibwa xG_against 0.78, Simba xG_against 1.01), but this does not outweigh the dominant seasonal clean sheet metrics. Therefore, based on strong seasonal signals (low season BTTS 23%/38% and high CS 69%/62% plus league CS 78%), I assess No BTTS (No Goal) as more likely.

Based on xG I expect 1.36 goals for Mtibwa Sugar (xG_for 1.71 vs xG_against Simba 1.01) and 1.17 for Simba (xG_for 1.56 vs xG_against Mtibwa 0.78), totaling 2.53 goals. A Poisson model with λ=2.53 yields P(Over 1.5) ≈72% (P≤1 ≈28%), P(Over 2.5) ≈46% and P(Over 3.5) ≈25%. Seasonal stats support Over 1.5: home side has 85% of matches >1.5 goals, visitors 62%, and in the last 5 matches Mtibwa has 80% of matches >2.5 while Simba has 60%. Despite high clean sheet rates (Mtibwa 69%, Simba 62%), the hosts average 2.08 goals and 11.17 shots with a conversion rate of 18%, increasing the chance of at least two goals; therefore the strongest signal is Over 1.5 with probability around 72%.

Season-long metrics strongly favor Mtibwa at the break: the home side leads at the break in 69% of matches, scores an average of 1.23 goals before halftime and concedes only 0.15, and at home they average 2.08 goals. Their home xG is 1.71 versus Simba’s 1.56; they record more shots (11.17 vs 9.91) and more shots on target (4.67 vs 4.0), and they win 77% of matches across the season, which supports maintaining the lead and winning Full-Time. However, recent form over the last five matches must be considered: Mtibwa have only a 20% win rate in that sample and led at the break in 20% of the last five, while Simba won all five and led at the break in 60%, which increases the risk of a turnaround. The hosts keep a clean sheet at Half-Time in 85% of matches, and in the second half they score on average 0.85 and concede 0.31 goals, therefore I assign the highest probability to the 1/1 scenario (50%) with supplemental allocations to 1/X (12%) and 1/2 (7%), while distributing the 31% chance of a halftime draw across X/1 7%, X/X 20% and X/2 4%.