Mtibwa Sugar vs Dodoma Jiji: result 0-1 and analysis
Ligi kuu BaraRegular Season - 16Kick-off on December 23, 2020 at 01:00 PM (UTC)Manungu Stadium, Turiani
Full time
What was the result of Mtibwa Sugar vs Dodoma Jiji?
Dodoma Jiji won 0-1 on December 23, 2020.
Goalscorers
- 2′?Dodoma Jiji
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mtibwa Sugar have 6 wins, 3 draws and 6 defeats; Dodoma 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 |
|---|---|---|---|
| Dec 19, 2020 | JKT Tanzania(home) | 1-0 | Ligi kuu Bara |
| Dec 11, 2020 | KMC(home) | 1-0 | Ligi kuu Bara |
| Dec 6, 2020 | Mwadui(home) | 1-0 | Ligi kuu Bara |
| Nov 28, 2020 | Mbeya City(away) | 0-0 | Ligi kuu Bara |
| Nov 24, 2020 | Polisi Tanzania(away) | 0-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | Young Africans(away) | 1-3 | Ligi kuu Bara |
| Dec 12, 2020 | Gwambina(home) | 1-0 | Ligi kuu Bara |
| Dec 4, 2020 | KMC(away) | 0-1 | Ligi kuu Bara |
| Nov 28, 2020 | Ihefu(home) | 3-0 | Ligi kuu Bara |
| Nov 20, 2020 | Biashara United(home) | 1-1 | Ligi kuu Bara |
How many goals should we expect?
Mtibwa Sugar score 0.5 and concede 0.6 goals per match over their last 15; Dodoma Jiji score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 0.5 | 0.6 | 8 | 2/15 | 1/15 |
| Dodoma Jiji | 0.7 | 0.9 | 8 | 2/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Dodoma Jiji | 10 | 4 | 4 | 2 | 8 | 5 | 16 |
A question about Mtibwa Sugar vs Dodoma 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