KMC vs JKT Tanzania: result 1-0 and analysis
Ligi kuu BaraRegular Season - 26Kick-off on March 5, 2020 at 01:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of KMC vs JKT Tanzania?
KMC won 1-0 on March 5, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KMC have 3 wins, 4 draws and 8 defeats; JKT Tanzania have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 1, 2020 | Simba(away) | 0-2 | Ligi kuu Bara |
| Feb 22, 2020 | Ndanda(away) | 1-2 | Ligi kuu Bara |
| Feb 18, 2020 | Namungo(away) | 1-2 | Ligi kuu Bara |
| Feb 15, 2020 | Polisi Tanzania(home) | 2-3 | Ligi kuu Bara |
| Feb 12, 2020 | Coastal Union(home) | 0-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 29, 2020 | Azam(home) | 0-1 | Ligi kuu Bara |
| Feb 22, 2020 | Kagera Sugar(home) | 1-0 | Ligi kuu Bara |
| Feb 18, 2020 | Biashara United(home) | 0-0 | Ligi kuu Bara |
| Feb 15, 2020 | Mtibwa Sugar(away) | 1-0 | Ligi kuu Bara |
| Feb 11, 2020 | Lipuli(away) | 1-1 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 KMC wins, 1 draw, 0 JKT Tanzania wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2019 | JKT Tanzania 0-0 KMC | Ligi kuu Bara |
How many goals should we expect?
KMC score 0.9 and concede 1.3 goals per match over their last 15; JKT Tanzania score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KMC | 0.9 | 1.3 | 4 | 8/15 | 5/15 |
| JKT Tanzania | 1.0 | 0.9 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | JKT Tanzania | 7 | 3 | 1 | 3 | 9 | 11 | 10 |
A question about KMC vs JKT Tanzania?
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