Espoir vs Marines: result 0-2 and analysis
National Soccer LeagueRegular Season - 21Kick-off on March 16, 2019 at 01:30 PM (UTC)Cyangugu Regional Stadium, Cyangugu
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What was the result of Espoir vs Marines?
Marines won 0-2 on March 16, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Espoir have 7 wins, 3 draws and 5 defeats; Marines have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Kirehe(away) | 0-0 | National Soccer League |
| Mar 6, 2019 | Musanze(home) | 1-0 | National Soccer League |
| Mar 1, 2019 | Amagaju(away) | 3-1 | National Soccer League |
| Feb 22, 2019 | Police(home) | 0-0 | National Soccer League |
| Feb 18, 2019 | Gicumbi(home) | 5-1 | National Soccer League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2019 | Muhanga(home) | 1-0 | National Soccer League |
| Mar 6, 2019 | APR(away) | 0-2 | National Soccer League |
| Mar 2, 2019 | AS Kigali(away) | 1-2 | National Soccer League |
| Feb 23, 2019 | Kiyovu Sports(home) | 0-0 | National Soccer League |
| Feb 19, 2019 | Bugesera(away) | 0-0 | National Soccer League |
What does the head-to-head say?
In the last meeting: 0 Espoir wins, 0 draws, 1 Marines win.
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2018 | Marines 2-0 Espoir | National Soccer League |
How many goals should we expect?
Espoir score 1.4 and concede 1.1 goals per match over their last 15; Marines score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Espoir | 1.4 | 1.1 | 5 | 7/15 | 7/15 |
| Marines | 0.9 | 1.0 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Marines | 3 | 1 | 1 | 1 | 4 | 4 | 4 |
A question about Espoir vs Marines?
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