Sunrise vs Mukura: result 0-0 and analysis
National Soccer LeagueRegular Season - 2Kick-off on October 9, 2019 at 01:00 PM (UTC)Golgotha Stadium, Nyagatare
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What was the result of Sunrise vs Mukura?
Sunrise and Mukura drew 0-0 on October 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sunrise have 1 wins, 6 draws and 8 defeats; Mukura 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 |
|---|---|---|---|
| Oct 6, 2019 | Police(away) | 2-3 | National Soccer League |
| Jun 1, 2019 | Etincelles(home) | 0-0 | National Soccer League |
| May 25, 2019 | Marines(away) | 0-0 | National Soccer League |
| May 18, 2019 | Kirehe(home) | 1-2 | National Soccer League |
| May 11, 2019 | Musanze(away) | 1-2 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Espoir(home) | 1-1 | National Soccer League |
| Jun 1, 2019 | Gicumbi(home) | 1-1 | National Soccer League |
| May 24, 2019 | Etincelles(away) | 1-0 | National Soccer League |
| May 18, 2019 | Marines(home) | 1-0 | National Soccer League |
| May 10, 2019 | Kirehe(away) | 1-2 | National Soccer League |
What does the head-to-head say?
Across the last 2 meetings: 0 Sunrise win(s), 0 draw(s), 2 Mukura win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 19, 2019 | Sunrise 0-1 Mukura | National Soccer League |
| Oct 20, 2018 | Mukura 1-0 Sunrise | National Soccer League |
How many goals should we expect?
Sunrise score 0.7 and concede 1.4 goals per match over their last 15; Mukura score 1.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sunrise | 0.7 | 1.4 | 2 | 8/15 | 5/15 |
| Mukura | 1.2 | 1.0 | 6 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Mukura | 34 | 12 | 11 | 11 | 36 | 38 | 47 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy