Singida Big Stars vs JKT Tanzania: match statistics
Singida Big Stars vs JKT Tanzania: form, goals and key statistics
Game details
Singida Big Stars played against JKT Tanzania in Ligi kuu Bara (Tanzania). The game was played on October 9, 2026. Venue: Namfua Football Ground. Final score: 1:2.
Recent form
Singida Big Stars has 1 win, 1 draw and 3 losses over its last five games, averaging 0.80 points per game. JKT Tanzania has 2 wins, 0 draws and 3 losses, with 1.20 points per game.
Scoring records
Singida Big Stars scores 0.33 goals per game and allows 1.50. JKT Tanzania scores 1.17 and allows 1.67. Games in this league average 2.48 goals.
BTTS and goal totals
Both teams score in 17% of Singida Big Stars's games and 50% of JKT Tanzania's. The Over 2.5 rates are 17% and 67%, compared with league averages of 46% for BTTS and 42% for Over 2.5.
xG and shots
Singida Big Stars has the higher season xG average, 1.47 to 1.31 per game. Singida Big Stars takes 7.5 shots per game, while JKT Tanzania takes 5.8.
First-half and second-half trends
Singida Big Stars leads at halftime in 17% of its games and scores 0.00 goals per game after halftime. JKT Tanzania leads at halftime in 17% and scores 0.50 after halftime.
When the teams score
Singida Big Stars's most productive scoring window is minutes 0-15 (1 goals). For JKT Tanzania, it is minutes 46-60 (3 goals). These are past scoring patterns, not predicted goal times.
League scoring profile
Ligi kuu Bara games average 2.48 goals. Both teams score in 46% of games, and 42% finish with at least three goals.
Head-to-head record
Before this game, 2 previous meetings were available. The record was 0 home wins, 1 draw and 1 away win. Those games averaged 2.50 goals, with both teams scoring in 50% of them.
Archived pre-match analysis
This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.
General match analysis
Singida Big Stars have lost 3 of their last 5 matches, but have a better chance of turning things around at home: JKT Tanzania have lost all 3 of their away games so far, conceding an average of 2.67 goals per match. The hosts create better chances on home soil, averaging 1.44 xG compared with the visitors’ 0.84 away from home, and also register more shots on target — 3.67 compared with 2 per game. However, Singida’s poor finishing blunts this advantage: they score an average of just 0.33 goals at home and have failed to score in 67% of their matches. JKT have recorded more wins in their last 5 matches, 2 compared with 1, but their away goal record of 1:8 points to serious struggles on the road. Singida are therefore slight favorites, although both teams’ lack of cutting edge means a draw remains a realistic possibility.
View the statistical overviewBTTS - will both teams score?
The strongest signal against both teams scoring is JKT Tanzania’s away record: they average just 0.33 goals per match on the road and fail to score in 67% of their away games. Singida concede an average of 0.67 goals at home, further limiting the visitors’ chances of finding the net. On the other hand, JKT have averaged 1.2 goals across their last 5 matches, while Singida have conceded 1.2 goals per game over that period, so an away goal cannot be ruled out. However, Singida have significantly greater attacking potential at home, averaging 2.0 goals scored with an xG of 1.78, compared with JKT’s away xG of 0.84. Therefore, the likelier scenario is that Singida score while JKT fail to find the net. This points to BTTS - No, meaning at least one team is expected not to score; it does not necessarily imply a 0-0 draw.
View BTTS statisticsOver/Under - goals analysis
The strongest signal is for Under 3.5 goals: this line was not exceeded in 100% of Singida Big Stars’ matches and 67% of JKT Tanzania’s matches, while the league average is 2.47 goals. The hosts score an average of 2.0 goals in their matches, while the visitors concede 2.67, so Singida should pose the greater threat; their average xG is 1.78 compared with JKT’s 0.84. The visitors’ goal-scoring potential is more limited: they average 0.33 goals away from home and failed to score in 67% of those matches. Caution around higher lines is also warranted by the fact that none of Singida’s last 5 matches went over 2.5 goals, although at least 3 goals were scored in 80% of JKT’s last 5 matches. Therefore, with a projected total of 2.47 goals, Under 3.5 goals better accounts for both the hosts’ attacking advantage and the visitors’ limitations.
View Over/Under statisticsHT/FT - half-time and full-time scenario
The most likely scenario is for Singida Big Stars to lead at the break and win the match: the hosts average 1.0 first-half goals, while JKT Tanzania concede 1.67 in the first half. The visitors were trailing at half-time in 2 of their 3 matches, although the hosts led at that stage in only 1 of 3, so a half-time draw remains a significant alternative. The case for the hosts holding their lead is supported by their average of 2.0 goals scored per match, compared with 2.67 goals conceded by the visitors; JKT have also lost all 3 matches included in these statistics. Recent form tempers confidence in the pick: over their last 5 matches, Singida averaged just 0.4 goals, while JKT averaged 1.2. Despite this caveat, the hosts’ advantage in the match data makes leading at half-time and winning after 90 minutes the strongest single HT/FT outcome.
View first-half and second-half statisticsStats by half
Game stats
Pre-game profile— what do the season numbers say?
This team profile combines season stats and recent form. In-game statistics appear after the final whistle.
Team stats— who is more efficient?
Compare both teams' attacking and defensive records this season.
Shooting quality
| Singida Big Stars | JKT Tanzania | |
|---|---|---|
| Accuracy (shots on target) | 49% | 46% |
| Chance quality (xG per shot) | 0.20 | 0.22 |
| Finishing (goals per shot on target) | 0.09 | 0.44 |
xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.
* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.
Team form— who is in better shape?
Last five games and season record, overall, at home and away.
JKT Tanzania is 50% better for: last-5 form.
0.8 pts / game - Singida Big Stars · 1.2 pts / game - JKT Tanzania
Goals— how do both teams score and concede?
How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.
JKT Tanzania is 255% better for: goals scored per game.
0.33 goals / game - Singida Big Stars · 1.17 goals / game - JKT Tanzania
Singida Big Stars is 11% better for: goals allowed per game.
1.5 goals / game - Singida Big Stars · 1.67 goals / game - JKT Tanzania
Singida Big Stars scores in 33% of games (2 of 6 games), while JKT Tanzania keeps a clean sheet in 17% (1 of 6 games).
JKT Tanzania scores in 67% of games (4 of 6 games), while Singida Big Stars keeps a clean sheet in 17% (1 of 6 games).
How often they score at least...
How often they concede at least...
* Statistics include both teams' home and away games this season.
Both teams scored (BTTS)— how often do both teams score?
How often games involving these teams produce goals at both ends, compared with the league average.
Goal patterns
BTTS and goal count
Goal count (Over/Under)— how often do these games cross the goal lines?
See how often games involving these teams clear each goal line, for the full game and each half.
Full game - team comparison (Over)
Over / Under - Singida Big Stars
Over / Under - JKT Tanzania
1st half
2nd half
Game halves— when do the teams score more often?
How teams split performance between first and second half: goals, points, clean sheets and half-time state.
Before half-time (1st half)
After half-time (2nd half)
Singida Big Stars - second-half results
Leads at halftime in 17% of games and wins 17%. Also wins some games without leading at halftime.
Allows 0.2 more goals per game after halftime, a sign that the defense becomes less effective later in games.
JKT Tanzania - second-half results
Leads at halftime in 17% of games and wins 33%. Also wins some games without leading at halftime.
Defense stays consistent across the full game.
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.00 | 0.60 |
| Goals scored / game | 0.4 | 0.0 |
| Goals allowed / game | 0.6 | 0.6 |
| Average goals per game | 1.0 | 0.6 |
| 1 goal | 80% | 40% |
| 2 goals | 20% | 20% |
| 3 goals | 0% | 0% |
| Clean sheet | 40% | 60% |
| No goal | 60% | 100% |
| Goal difference | -1 | -3 |
| 1st half | 2nd half | |
|---|---|---|
| Points per game | 1.00 | 0.80 |
| Goals scored / game | 0.8 | 0.4 |
| Goals allowed / game | 1.0 | 0.8 |
| Average goals per game | 1.8 | 1.2 |
| 1 goal | 80% | 80% |
| 2 goals | 60% | 20% |
| 3 goals | 40% | 20% |
| Clean sheet | 40% | 20% |
| No goal | 60% | 80% |
| Goal difference | -1 | -2 |
* Table colors show frequency: green is common, yellow is moderate and red is rare. They are not team ratings.
Goals by minute— when do goals arrive?
The parts of a game in which both teams score and allow the most goals.
Most dangerous in minutes 0-15 (1 goal). Concedes most in 76-90 (5). Late-goal balance (76-90): -5 - late phases are a weakness.
Most dangerous in minutes 46-60 (3 goals). Concedes most in 31-45 (4). Late-goal balance (76-90): -2 - late phases are a weakness.
* Buckets 31-45 and 76-90 include added-time goals.
Additional team indicators— what do xG, efficiency and form show?
A comparison of chance quality, results and trends from completed games this season.
Game profile
Singida Big Stars
JKT Tanzania
* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range use public season averages and frequencies for both teams. This is a statistical game profile, not a private model prediction or betting pick. The remaining indicators describe completed games from the season.
League context— is this a high-scoring league?
How both teams compare with league-wide averages (Ligi kuu Bara).
Teams vs league
| Singida Big Stars | Liga | JKT Tanzania | |
|---|---|---|---|
| Average goals per game | ▼ 1.83 | 2.48 | ▲ 2.83 |
| Both teams scored | ▼ 17% | 46% | ▲ 50% |
| Min. 3 goals (Over 2.5) | ▼ 17% | 42% | ▲ 67% |
| Clean sheets | ▼ 17% | 28% | ▼ 17% |
| Goal before half-time | ▲ 83% | 75% | ▲ 83% |
| Goal after half-time | ▼ 50% | 71% | ▲ 83% |
^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.
Lineups and player events
Verified starters, substitutes and recorded player events for this match.
Home team
Starting lineup
Away team
Starting lineup
Head-to-head
Record from Singida Big Stars's perspective: 0 wins, 1 draw and 1 loss against JKT Tanzania. Games average 2.50 goals, and both teams scored in 50% of them.
FAQ
What was the result of Singida Big Stars vs JKT Tanzania?
The Ligi kuu Bara match finished Singida Big Stars 1:2 JKT Tanzania. Full match statistics, the half-by-half breakdown and head-to-head are on this page.
What is the head-to-head record between Singida Big Stars and JKT Tanzania?
In the last 2 head-to-head matches Singida Big Stars won 0, JKT Tanzania won 1 and 1 ended level. These games averaged 2.50 goals, with both teams scoring in 50% of them.
What do the goal statistics show before Singida Big Stars vs JKT Tanzania?
Singida Big Stars score 0.33 goals per game on average and JKT Tanzania 1.17. The Ligi kuu Bara average is 2.48 goals, with Over 2.5 landing in 42% of games. Both teams score in 17% of Singida Big Stars's matches and 50% of JKT Tanzania's.
What form are Singida Big Stars and JKT Tanzania in?
Over the last 5 games Singida Big Stars have a 1-1-3 record (0.80 points per game) and JKT Tanzania 2-0-3 (1.20 points per game).
Where can I find a betting tip and analysis for Singida Big Stars vs JKT Tanzania?
This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.


