JKT Tanzania vs Namungo: result 0-1 and analysis
Ligi kuu BaraMatchday 13Kick-off on December 29, 2019 at 01:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of JKT Tanzania vs Namungo?
Namungo won 0-1 on December 29, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, JKT Tanzania have 5 wins, 4 draws and 4 defeats; Namungo have 6, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2019 | Azam(away) | 2-2 | Ligi kuu Bara |
| Nov 26, 2019 | Ruvu Shooting(home) | 2-1 | Ligi kuu Bara |
| Nov 22, 2019 | Young Africans(away) | 2-3 | Ligi kuu Bara |
| Nov 3, 2019 | Tanzania Prisons(home) | 0-1 | Ligi kuu Bara |
| Oct 30, 2019 | Singida United(away) | 2-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2019 | Polisi Tanzania(home) | 1-0 | Ligi kuu Bara |
| Nov 22, 2019 | Coastal Union(home) | 1-3 | Ligi kuu Bara |
| Nov 6, 2019 | Ruvu Shooting(home) | 2-1 | Ligi kuu Bara |
| Oct 27, 2019 | Biashara United(away) | 0-1 | Ligi kuu Bara |
| Oct 23, 2019 | Mtibwa Sugar(home) | 1-0 | Ligi kuu Bara |
How many goals should we expect?
JKT Tanzania score 1.2 and concede 1.1 goals per match over their last 13; Namungo score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JKT Tanzania | 1.2 | 1.1 | 5 | 6/13 | 6/13 |
| Namungo | 1.0 | 0.8 | 5 | 4/11 | 4/11 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
JKT Tanzania sit 4th in Ligi kuu Bara (17 points from 11 matches) and Namungo sit 7th (15 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | JKT Tanzania | 11 | 5 | 2 | 4 | 13 | 14 | 17 |
| 7 | Namungo | 11 | 5 | 0 | 6 | 12 | 15 | 15 |
A question about JKT Tanzania vs Namungo?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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