Gicumbi vs Mukura: result 1-1 and analysis
National Soccer LeagueRegular Season - 15Kick-off on February 7, 2019 at 01:30 PM (UTC)Gicumbi Stadium, Byumba
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What was the result of Gicumbi vs Mukura?
Gicumbi and Mukura drew 1-1 on February 7, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Gicumbi have 3 wins, 3 draws and 8 defeats; Mukura have 10, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 12, 2019 | Muhanga(away) | 0-3 | National Soccer League |
| Jan 5, 2019 | Etincelles(home) | 1-0 | National Soccer League |
| Dec 28, 2018 | APR(away) | 0-0 | National Soccer League |
| Dec 22, 2018 | Marines(home) | 1-0 | National Soccer League |
| Dec 19, 2018 | AS Kigali(away) | 0-6 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2019 | Etincelles(home) | 2-1 | National Soccer League |
| Jan 30, 2019 | Musanze(away) | 0-0 | National Soccer League |
| Jan 27, 2019 | Amagaju(home) | 2-1 | National Soccer League |
| Jan 24, 2019 | Police(away) | 2-3 | National Soccer League |
| Jan 6, 2019 | Marines(away) | 1-1 | National Soccer League |
How many goals should we expect?
Gicumbi score 0.5 and concede 1.5 goals per match over their last 14; Mukura score 1.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gicumbi | 0.5 | 1.5 | 5 | 3/14 | 5/14 |
| Mukura | 1.4 | 0.6 | 8 | 6/14 | 5/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Gicumbi sit 4th in National Soccer League (10 points from 6 matches) and Mukura sit 1st (12 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Mukura | 7 | 3 | 3 | 1 | 7 | 4 | 12 |
| 4 | Gicumbi | 6 | 3 | 1 | 2 | 5 | 4 | 10 |
A question about Gicumbi 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