JKT Tanzania vs Tanzania Prisons: match statistics

The favorites are hosts JKT Tanzania (6th): across the season they have 28 goals scored and 28 conceded, while Tanzania Prisons (14th) have scored 18 and conceded 36. At home JKT average 1.08 goals scored and 0.77 conceded per match, with average xG 1.33 and xG against 1.04; visitors on the road score only 0.58 goals per match and concede 1.58 (xG for 1.23, xG against 1.6). JKT is also more efficient in finishing and defensively — shot conversion 13% versus Prisons 8%, on average 3.69 shots on target vs 2.89 and 46% of home matches with a clean sheet compared to 8% clean sheets for away Prisons. In the last five matches JKT have 1 win and 4 draws (8 scored, 7 conceded, 1.4 points per game), while Prisons have 3 wins and 2 losses (7:9, 1.8 points per game), however Prisons failed to score in 67% of their away matches, which limits their potential. Given JKT’s defensive edge, superior efficiency and ball control, I expect the hosts to win.

Seasonal metrics favor a No Goal (BTTS - No): JKT averages 0.79 goals per match, Tanzania Prisons 0.58, home-season BTTS rate is 36% and away 25%, with league BTTS at 36%. Additionally, hosts have 43% clean sheets, visitors only 8%, and the league overall records 78% of matches with a clean sheet, all strongly supporting the “no” scenario. Contrastingly, the hosts’ last 5 matches show BTTS 80% with an average 1.6 scored and 1.4 conceded, while the visitors’ last 5 show 1.4 scored and 1.8 conceded, indicating both sides can exchange goals when in form. The visitors generate many chances (7.89 shots, 2.89 on target and xG 1.23) but convert only 8% of shots seasonally and average 0.58 goals per game, so their real scoring ability is limited; for that reason I assign 60% to 'no' and 40% to 'yes' (BTTS - No 60% / BTTS - Yes 40%).

The model projects a total of approximately 2.47 goals: 1.30 for JKT Tanzania and 1.17 for Tanzania Prisons. The projection is the average of seasonal and last-5 xG — hosts have seasonal xG_for 0.79 and last-5 xG_for 1.4, while visitors have seasonal xG_for 1.23 and last-5 xG_for 0.94; defenses show xG_against 1.10 (hosts) and 1.60 (visitors). A Poisson distribution on that mean yields probabilities: Over 1.5 ≈71%, Over 2.5 ≈45% and Over 3.5 ≈24%. Match stats support this conclusion — visitors average 7.89 shots (2.89 on target) with an 8% conversion and xG_for 1.23, hosts 3.17 shots (1.17 on target) with 26% conversion and xG_for 0.79, and in the last 5 matches both teams combined averaged 3.0 goals (1.6 + 1.4). Consequently I recommend a bet on Over 1.5 as the optimal option: it has ~71% chance and a clearer numerical edge compared to the 2.5 line (~45%).

At half-time a draw is the most likely outcome: the hosts led at the break in 3 of 14 home matches (21%), drew at half-time in 7 (50%) and trailed in 4 (29%). Average first-half goals are 0.50 for JKT versus 0.27 for Tanzania Prisons, with hosts conceding 0.71 on average and visitors 0.73. Over the full match the hosts have the edge in points and defensively: they score 0.79 goals per game and concede 1.21, earn 1.14 points per game versus the visitors' 0.58, and have a 29% home win rate compared to the visitors' 17% away win rate. Although the visitors generate higher xG (1.23 vs 0.79), their shot conversion rate is only 8% versus the hosts’ 26%, translating to just 0.58 goals per game for the visitors and limited away effectiveness. There is, however, a second-half signal favoring JKT: in the last five matches the hosts have averaged 1.0 goals after the break and won the second half in 60% of cases, while the visitors averaged 0.5 and won 0% of second halves. For these reasons the most likely course is a half-time draw and a home win at full-time (X/1), and I assign the highest probability in the proposed distribution to this scenario.