APR vs Gicumbi: result 0-0 and analysis
National Soccer LeagueRegular Season - 12Kick-off on December 28, 2018 at 01:30 PM (UTC)Kigali Pelé Stadium, Kigali
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What was the result of APR vs Gicumbi?
APR and Gicumbi drew 0-0 on December 28, 2018.
What is the recent form of both teams?
Over their last 13 matches in all competitions, APR have 11 wins, 1 draws and 1 defeats; Gicumbi have 2, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 6, 2018 | Etincelles(away) | 2-0 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 22, 2018 | Marines(home) | 1-0 | National Soccer League |
| Dec 19, 2018 | AS Kigali(away) | 0-6 | National Soccer League |
| Dec 14, 2018 | Kirehe(home) | 1-0 | National Soccer League |
| Dec 11, 2018 | Kiyovu Sports(away) | 0-1 | National Soccer League |
| Dec 7, 2018 | Musanze(home) | 1-1 | National Soccer League |
How many goals should we expect?
APR score 1.9 and concede 0.4 goals per match over their last 13; Gicumbi score 0.5 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APR | 1.9 | 0.4 | 8 | 4/13 | 5/13 |
| Gicumbi | 0.5 | 1.6 | 3 | 3/11 | 4/11 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
APR sit 2nd in National Soccer League (68 points from 34 matches) and Gicumbi sit 12th (38 points from 34 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | APR | 34 | 19 | 11 | 4 | 50 | 28 | 68 |
| 12 | Gicumbi | 34 | 10 | 8 | 16 | 38 | 54 | 38 |
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