Simba vs Ndanda: result 3-1 and analysis
Ligi kuu BaraRegular Season - 1Kick-off on August 20, 2016 at 12:05 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of Simba vs Ndanda?
Simba won 3-1 on August 20, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Simba have 6 wins, 3 draws and 6 defeats; Ndanda have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2016 | JMC Hippos(away) | 2-1 | Premier League |
| May 24, 2016 | The Saints(home) | 2-0 | Premier League |
| May 21, 2016 | Ruvu Stars(home) | 1-2 | Ligi kuu Bara |
| May 15, 2016 | Mtibwa Sugar(away) | 1-0 | Ligi kuu Bara |
| May 13, 2016 | Vipers(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Mbeya City(away) | 0-0 | Ligi kuu Bara |
| May 15, 2016 | Young Africans(home) | 2-2 | Ligi kuu Bara |
| May 7, 2016 | Ruvu Stars(away) | 0-2 | Ligi kuu Bara |
| Apr 16, 2016 | Kagera Sugar(home) | 2-0 | Ligi kuu Bara |
| Apr 9, 2016 | Mwadui(home) | 2-1 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 2 Simba wins, 0 draws, 0 Ndanda wins.
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2016 | Simba 3-0 Ndanda | Ligi kuu Bara |
| Jan 1, 2016 | Ndanda 0-1 Simba | Ligi kuu Bara |
How many goals should we expect?
Simba score 1.1 and concede 0.7 goals per match over their last 15; Ndanda score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Simba | 1.1 | 0.7 | 8 | 3/15 | 4/15 |
| Ndanda | 1.0 | 0.9 | 6 | 7/15 | 5/15 |
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 Ndanda?
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