KenGold vs Pamba Jiji: result 0-2 and analysis
Ligi kuu BaraRegular Season - 28Kick-off on May 13, 2025 at 01:15 PM (UTC)Sokoine Stadium, Mbeya
Full time
What was the result of KenGold vs Pamba Jiji?
Pamba Jiji won 0-2 on May 13, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KenGold have 2 wins, 4 draws and 9 defeats; Pamba Jiji have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2025 | Coastal Union(away) | 1-2 | Ligi kuu Bara |
| Apr 9, 2025 | Tanzania Prisons(home) | 1-3 | Ligi kuu Bara |
| Apr 6, 2025 | Dodoma Jiji(away) | 0-3 | Ligi kuu Bara |
| Apr 3, 2025 | Azam(home) | 0-2 | Ligi kuu Bara |
| Mar 5, 2025 | Mashujaa(home) | 2-2 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2025 | Simba(away) | 1-5 | Ligi kuu Bara |
| Apr 8, 2025 | Fountain Gate(home) | 1-1 | Ligi kuu Bara |
| Apr 5, 2025 | Tabora United(home) | 1-0 | Ligi kuu Bara |
| Apr 2, 2025 | Namungo(home) | 1-1 | Ligi kuu Bara |
| Mar 7, 2025 | Kagera Sugar(away) | 1-2 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 KenGold wins, 0 draws, 1 Pamba Jiji win.
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2024 | Pamba Jiji 1-0 KenGold | Ligi kuu Bara |
How many goals should we expect?
KenGold score 0.9 and concede 1.9 goals per match over their last 15; Pamba Jiji score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KenGold | 0.9 | 1.9 | 2 | 9/15 | 7/15 |
| Pamba Jiji | 0.8 | 1.2 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Pamba Jiji | 8 | 1 | 2 | 5 | 9 | 14 | 5 |
A question about KenGold vs Pamba Jiji?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy