Singida Black Stars vs Mtibwa Sugar: match statistics

Singida Black Stars possess a clear advantage for this match: at home they win 64% of fixtures, average 10.86 shots and 4.14 on target per game, converting to 1.00 goals and xG 1.61. Mtibwa Sugar have no away wins (0), average only 4.17 shots and 2.17 on target, score 0.33 goals per away game with xG 0.82, and fail to score in 67% of away matches. In the last 5 games the hosts have scored 6 and conceded 6, with 2 wins and 1.4 pts/game, while the visitors have 3 scored and 8 conceded, 0.4 pts/game and 0 wins. Additionally, Singida display better shot conversion (11% vs 4%), superior possession (56% vs 44%), more clean sheets at home (55% vs 33%) and a more favorable home goal difference (+1 vs Mtibwa’s -7 on the road); therefore I favor the home victory.

A strong signal against BTTS - Yes comes from the away side’s stats: Mtibwa Sugar fail to score in 67% of their matches this season, average 0.33 goals per game and have a very low shot conversion rate of 4%, which significantly reduces their scoring chances. Singida Black Stars at home have a seasonal BTTS of 58% and score 1.08 goals per game with xG 1.09, but they also concede on average 1.25 goals at home and have only 25% clean sheets, so the hosts could be the sole scorers. In the last 5 matches both teams show 60% BTTS, Mtibwa scored 3 goals in 5 fixtures (0.6 avg) but conceded 8 goals in those 5 games (1.6 per game) and had xG against of 1.46, indicating vulnerability in the away defense. Additionally, the league has a low BTTS of 33% and 82% of matches feature at least one clean sheet, which historically favors a No Goal scenario. Overall I forecast a No (clean sheet expected) signal with a 70% probability vs 30% for Yes (Goal/Goal).

The total expected xG is about 2.49: for Singida the estimate comes from xG_for_home 1.09 and xG_against_away 1.76 (average ≈1.43), and for Mtibwa from xG_for_away 0.82 and xG_against_home 1.31 (≈1.06). Singida averages 6.78 shots with a 13% conversion (from these parameters ≈0.88 goals), Mtibwa has 4.17 shots with a 4% conversion (≈0.17 goals), and seasonal goal averages are 1.08 vs 0.33. A Poisson model with lambda=2.49 gives P(>1.5) ≈71%, P(>2.5) ≈45% and P(>3.5) ≈24%, which shows a clear edge over the 1.5 line while the chance of 3.5+ is low. Seasonal indicators confirm over 1.5 (Singida 75% of matches >1.5, Mtibwa 56%), whereas >3.5 is rare (17% for hosts, 0% for guests). Therefore the strongest and most consistent signal from the data is over 1.5 (selection: Over on the 1.5 line).

I back HT/FT X/1: draw at half-time, Singida Black Stars to win. I expect a draw at the break — hosts drew at half-time in 55% of matches and visitors in 44%, while hosts led at the break in only 0% and visitors in 11%, which strongly supports an X at half-time. In the second half the hosts will have the advantage: Singida average 1.08 goals per match versus Mtibwa’s 0.33, have xG 1.09 vs 0.82, more shots (6.78 vs 4.17) and a much higher conversion rate (13% vs 4%). Additionally the hosts scored 6 goals in minutes 76–90 compared to 1 for the visitors and record an average of 1.73 points in second halves, winning 45% of second halves, which justifies a turnaround from a draw to a home win. The visitors have not won any match this season (0% wins), so scenarios with a Mtibwa victory I assess as virtually 0%.