JKT Tanzania vs Mbeya City: match statistics

I predict a home win (1). JKT has a clear defensive edge at home — they concede 0.6 goals per home match on average, while Mbeya City concedes 1.7 on the road; JKT’s opponents generate an average of 0.94 xG against them, versus 1.79 xG for Mbeya’s opponents. The hosts also create more and better chances: at home they average 7.9 shots and 3.4 on target per match with xG 1.24, whereas Mbeya away averages 6.57 shots, 2.86 on target and xG 1.06. JKT kept a clean sheet in 50% of home matches and failed to score in only 20% of home games, while Mbeya fail to score in 50% of away matches and have only 30% clean sheets, highlighting the visitors’ offensive issues. A warning is recent form over the last 5 matches — JKT scored 3 and conceded 11 (averaging 0.8 points per match), and Mbeya scored 5 and conceded 9 (averaging 1.6 points per match) — nevertheless JKT’s home record (+4 goal difference, 40% wins) versus Mbeya’s away record (-8, 60% losses) leads me to back the hosts.

I predict BTTS - Yes with an estimated probability of 65% vs 35%, because offensive and defensive metrics favor both teams scoring. JKT Tanzania averages 0.73 goals for and concedes 1.27 per match, while Mbeya City averages 0.90 and concedes 1.70, indicating both teams regularly allow opponent goals. xG analysis suggests around 1.37 expected goals for the home side (home attack xG 0.95 vs away defense xG 1.79) and about 1.15 for the visitors (away attack xG 1.06 vs home defense xG 1.24), so both sides have xG above 1.0. In the last 5 matches JKT have conceded 11 goals (2.2 per game) and scored 3 (0.6), while Mbeya have scored 5 and conceded 9 (1.0 and 1.8), further confirming defensive instability on both teams. Despite Mbeya’s low seasonal BTTS rate of 20% and the league average BTTS of 33%, the strong signal from high defensive xG figures (1.24 and 1.79) and the goal differentials (JKT 21 scored/21 conceded; Mbeya 17/31) supports the scenario that both teams will score.

The model projects xG 1.37 for JKT and 1.15 for Mbeya, total 2.52, i.e. slightly above the 2.5 goals threshold. Seasonally JKT have 55% of matches over 1.5 goals and Mbeya 80% (average 67.5%), which strongly supports the Over 1.5 option. For the 2.5 line seasonal shares are 27% (JKT) and 50% (Mbeya), but in the last 5 matches both teams recorded 60% of games with over 2.5 goals, hence a moderate edge for Over 2.5 (I estimate 52%). The chance of Over 3.5 is low (seasonally 27% vs 10%), although JKT concede on average 2.2 goals in the last 5; therefore I assessed Over 3.5 at about 15%. Additionally, Mbeya averages 2.86 shots on target versus JKT’s 1.5 and has a higher attacking xG (1.06 vs 0.95), suggesting the visitors will create most chances and increasing the probability of at least two goals in the match.

The home team led at the break in only 9% of their matches, while a draw at half-time occurred in 73% of games, and the away side led after 45 minutes in 18% of cases. Over full time the home team won only 9% of matches and the away team 40%, which yields a draw share of 51% (100−9−40) and suggests a propensity for splits. When the home side led at the break they held the victory until the end in 64% of cases, and when the away team led after 45 minutes they won the match in 60% of instances — I used these HT→FT transition rates for estimation. Combining the distribution at 45 minutes (9% home lead / 73% draw / 18% away lead) with the above transition coefficients produced approximate HT/FT probabilities: X/X ≈ 43%, X/2 ≈ 28%, 1/1 ≈ 6% and 2/2 ≈ 11%, with the remaining scenarios being much rarer. Therefore, I recommend HT/FT X/X (Half-Time/Full-Time draw/draw) as the strongest signal, since the high frequency of half-time draws (73%) and the overall draw share in full matches (51%) indicate the draw is likely to be maintained until the end.