APR vs Mukura: result 0-1 and analysis
National Soccer LeagueRegular Season - 6Kick-off on January 3, 2019 at 01:30 PM (UTC)Kigali Pelé Stadium, Kigali
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What was the result of APR vs Mukura?
Mukura won 0-1 on January 3, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, APR have 11 wins, 2 draws and 1 defeat; Mukura have 7, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 28, 2018 | Gicumbi(home) | 0-0 | National Soccer League |
| Dec 23, 2018 | AS Kigali(away) | 3-0 | National Soccer League |
| Dec 20, 2018 | Kiyovu Sports(home) | 1-0 | National Soccer League |
| Dec 16, 2018 | Bugesera(away) | 1-1 | National Soccer League |
| Dec 12, 2018 | Rayon Sports(home) | 2-1 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 29, 2018 | Kirehe(home) | 2-0 | National Soccer League |
| Dec 11, 2018 | Espoir(home) | 3-1 | National Soccer League |
| Dec 7, 2018 | Muhanga(home) | 1-0 | National Soccer League |
| Nov 6, 2018 | AS Kigali(home) | 0-0 | National Soccer League |
| Nov 3, 2018 | Kiyovu Sports(away) | 1-0 | National Soccer League |
How many goals should we expect?
APR score 1.8 and concede 0.4 goals per match over their last 14; Mukura score 1.4 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APR | 1.8 | 0.4 | 9 | 4/14 | 5/14 |
| Mukura | 1.4 | 0.3 | 6 | 2/8 | 2/8 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
APR sit 12th in National Soccer League (3 points from 1 match) and Mukura sit 4th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Mukura | 3 | 2 | 0 | 1 | 4 | 2 | 6 |
| 12 | APR | 1 | 1 | 0 | 0 | 4 | 2 | 3 |
A question about APR 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