Simba vs JKT Mgambo: result 5-1 and analysis
Ligi kuu BaraRegular Season - 17Kick-off on February 3, 2016 at 01:30 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of Simba vs JKT Mgambo?
Simba won 5-1 on February 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 6 wins, 6 draws and 3 defeats; JKT Mgambo have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2016 | African Sports(home) | 4-0 | Ligi kuu Bara |
| Jan 20, 2016 | Ruvu Stars(away) | 2-0 | Ligi kuu Bara |
| Jan 16, 2016 | Mtibwa Sugar(home) | 1-0 | Ligi kuu Bara |
| Jan 1, 2016 | Ndanda(away) | 1-0 | Ligi kuu Bara |
| Dec 29, 2015 | Vipers(home) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2016 | Ndanda(home) | 1-1 | Ligi kuu Bara |
| Jan 20, 2016 | Azam(home) | 1-2 | Ligi kuu Bara |
| Jan 16, 2016 | Ruvu Stars(away) | 5-1 | Ligi kuu Bara |
| Dec 26, 2015 | Mtibwa Sugar(away) | 0-3 | Ligi kuu Bara |
| Dec 20, 2015 | Mbeya City(away) | 1-1 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 1 Simba win, 0 draws, 0 JKT Mgambo wins.
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2015 | JKT Mgambo 0-2 Simba | Ligi kuu Bara |
How many goals should we expect?
Simba score 1.2 and concede 0.8 goals per match over their last 15; JKT Mgambo score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 1.2 | 0.8 | 7 | 6/15 | 4/15 |
| JKT Mgambo | 0.9 | 1.1 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Simba | 8 | 8 | 0 | 0 | 19 | 4 | 24 |
A question about Simba vs JKT Mgambo?
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