Mbeya City vs Ndanda: result 0-0 and analysis
Ligi kuu BaraRegular Season - 30Kick-off on May 21, 2016 at 01:00 PM (UTC)Sokoine Stadium, Mbeya
Full time
What was the result of Mbeya City vs Ndanda?
Mbeya City and Ndanda drew 0-0 on May 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mbeya City have 5 wins, 2 draws and 8 defeats; Ndanda have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | Mwadui(away) | 1-1 | Ligi kuu Bara |
| May 10, 2016 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Apr 30, 2016 | Mtibwa Sugar(away) | 0-1 | Ligi kuu Bara |
| Apr 10, 2016 | JKT Mgambo(away) | 1-0 | Ligi kuu Bara |
| Apr 2, 2016 | Coastal Union(home) | 4-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 6, 2016 | Azam(away) | 2-2 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 Mbeya City wins, 0 draws, 1 Ndanda win.
| Date | Score | Competition |
|---|---|---|
| Jan 20, 2016 | Ndanda 4-1 Mbeya City | Ligi kuu Bara |
How many goals should we expect?
Mbeya City score 1.1 and concede 1.5 goals per match over their last 15; Ndanda score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mbeya City | 1.1 | 1.5 | 4 | 5/15 | 6/15 |
| Ndanda | 1.3 | 1.0 | 5 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Mbeya City | 7 | 3 | 1 | 3 | 7 | 7 | 10 |
A question about Mbeya City 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