APR vs Espoir: result 1-2 and analysis
National Soccer LeagueRegular Season - 29Kick-off on May 25, 2019 at 01:30 PM (UTC)Kigali Pelé Stadium, Kigali
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What was the result of APR vs Espoir?
Espoir won 1-2 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, APR have 9 wins, 3 draws and 3 defeats; Espoir have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Muhanga(away) | 1-2 | National Soccer League |
| May 9, 2019 | Gicumbi(away) | 3-1 | National Soccer League |
| May 3, 2019 | AS Kigali(home) | 2-2 | National Soccer League |
| Apr 30, 2019 | Kiyovu Sports(away) | 0-0 | National Soccer League |
| Apr 27, 2019 | Bugesera(home) | 3-0 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | AS Kigali(home) | 1-1 | National Soccer League |
| May 11, 2019 | Kiyovu Sports(away) | 0-3 | National Soccer League |
| May 5, 2019 | Bugesera(home) | 3-1 | National Soccer League |
| May 2, 2019 | Rayon Sports(away) | 0-4 | National Soccer League |
| Apr 27, 2019 | Sunrise(home) | 1-1 | National Soccer League |
What does the head-to-head say?
In the last meeting: 1 APR win, 0 draws, 0 Espoir wins.
| Date | Score | Competition |
|---|---|---|
| Jan 11, 2019 | Espoir 0-1 APR | National Soccer League |
How many goals should we expect?
APR score 1.6 and concede 0.7 goals per match over their last 15; Espoir score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APR | 1.6 | 0.7 | 8 | 6/15 | 7/15 |
| Espoir | 1.1 | 1.3 | 3 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | APR | 1 | 1 | 0 | 0 | 4 | 2 | 3 |
A question about APR vs Espoir?
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