Kirehe vs Mukura: result 2-1 and analysis
National Soccer LeagueRegular Season - 27Kick-off on May 10, 2019 at 01:30 PM (UTC)Kirehe Stadium, Kirehe
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What was the result of Kirehe vs Mukura?
Kirehe won 2-1 on May 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kirehe have 3 wins, 4 draws and 8 defeats; Mukura have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Etincelles(away) | 0-1 | National Soccer League |
| May 1, 2019 | Marines(home) | 0-0 | National Soccer League |
| Apr 26, 2019 | Gicumbi(home) | 1-0 | National Soccer League |
| Apr 20, 2019 | Musanze(away) | 1-2 | National Soccer League |
| Mar 23, 2019 | Amagaju(home) | 2-1 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Musanze(home) | 4-1 | National Soccer League |
| May 1, 2019 | Amagaju(away) | 1-1 | National Soccer League |
| Apr 28, 2019 | Police(home) | 1-3 | National Soccer League |
| Apr 21, 2019 | Espoir(away) | 1-0 | National Soccer League |
| Apr 3, 2019 | Muhanga(away) | 0-0 | National Soccer League |
What does the head-to-head say?
In the last meeting: 0 Kirehe wins, 0 draws, 1 Mukura win.
| Date | Score | Competition |
|---|---|---|
| Dec 29, 2018 | Mukura 2-0 Kirehe | National Soccer League |
How many goals should we expect?
Kirehe score 0.5 and concede 1.2 goals per match over their last 15; Mukura score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kirehe | 0.5 | 1.2 | 5 | 3/15 | 4/15 |
| Mukura | 1.3 | 0.9 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mukura | 4 | 2 | 1 | 1 | 5 | 3 | 7 |
A question about Kirehe vs Mukura?
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