Le Messager Ngozi vs Young Star: result 1-0 and analysis
Ligue ARegular Season - 9Kick-off on October 25, 2026 at 01:00 PM (UTC)Stade Urukundo, Mwumba
Full time
What was the result of Le Messager Ngozi vs Young Star?
Le Messager Ngozi won 1-0 on October 25, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Le Messager Ngozi have 8 wins, 2 draws and 5 defeats; Young Star have 1, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2026 | Flambeau du Centre(away) | 1-0 | Ligue A |
| Oct 11, 2026 | Musongati(away) | 1-3 | Ligue A |
| Oct 4, 2026 | Panthere Noir(home) | 1-0 | Ligue A |
| Aug 28, 2026 | Never Give Up Academy(away) | 0-0 | Ligue A |
| Aug 23, 2026 | Muzinga(home) | 2-1 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2026 | Never Give Up Academy(home) | 2-0 | Ligue A |
| Oct 13, 2026 | Muzinga(away) | 1-1 | Ligue A |
| Oct 9, 2026 | Bumamuru(home) | 0-3 | Ligue A |
| Oct 3, 2026 | Rukinzo(away) | 0-7 | Ligue A |
| Sep 19, 2026 | Royal Vision(home) | 1-5 | Ligue A |
How many goals should we expect?
Le Messager Ngozi score 1.3 and concede 0.9 goals per match over their last 15; Young Star score 0.6 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Le Messager Ngozi | 1.3 | 0.9 | 6 | 5/15 | 7/15 |
| Young Star | 0.6 | 2.5 | 2 | 3/8 | 4/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Le Messager Ngozi sit 7th in Ligue A (16 points from 8 matches) and Young Star sit 16th (5 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Le Messager Ngozi | 8 | 5 | 1 | 2 | 7 | 6 | 16 |
| 16 | Young Star | 11 | 1 | 2 | 8 | 6 | 28 | 5 |
A question about Le Messager Ngozi vs Young Star?
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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