JKT Mgambo vs Ndanda: result 1-1 and analysis
Ligi kuu BaraRegular Season - 16Kick-off on January 31, 2016 at 01:00 PM (UTC)Mkwakwani Stadium, Tanga
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What was the result of JKT Mgambo vs Ndanda?
JKT Mgambo and Ndanda drew 1-1 on January 31, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, JKT Mgambo have 4 wins, 4 draws and 7 defeats; Ndanda have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 12, 2015 | Young Africans(home) | 0-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 20, 2016 | Mbeya City(home) | 4-1 | Ligi kuu Bara |
| Jan 17, 2016 | Young Africans(away) | 0-1 | Ligi kuu Bara |
| Jan 1, 2016 | Simba(home) | 0-1 | Ligi kuu Bara |
| Dec 26, 2015 | Ruvu Stars(home) | 1-3 | Ligi kuu Bara |
| Dec 19, 2015 | Mwadui(away) | 1-2 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 JKT Mgambo wins, 1 draw, 0 Ndanda wins.
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2015 | Ndanda 1-1 JKT Mgambo | Ligi kuu Bara |
How many goals should we expect?
JKT Mgambo score 0.9 and concede 1.1 goals per match over their last 15; Ndanda score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| JKT Mgambo | 0.9 | 1.1 | 5 | 5/15 | 4/15 |
| Ndanda | 0.9 | 1.1 | 3 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about JKT Mgambo 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