Young Star vs Never Give Up Academy: result 2-0 and analysis
Ligue ARegular Season - 8Kick-off on October 17, 2026 at 01:00 PM (UTC)
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What was the result of Young Star vs Never Give Up Academy?
Young Star won 2-0 on October 17, 2026.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Young Star have 0 wins, 2 draws and 5 defeats; Never Give Up Academy have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 30, 2026 | Aigle Noir(away) | 1-2 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2026 | Flambeau du Centre(home) | 2-2 | Ligue A |
| Oct 10, 2026 | Olympic Star(away) | 0-1 | Ligue A |
| Oct 3, 2026 | Musongati(home) | 0-2 | Ligue A |
| Aug 28, 2026 | Le Messager Ngozi(home) | 0-0 | Ligue A |
| Aug 21, 2026 | Inter Star(away) | 2-1 | Ligue A |
How many goals should we expect?
Young Star score 0.4 and concede 2.9 goals per match over their last 7; Never Give Up Academy score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Young Star | 0.4 | 2.9 | 1 | 3/7 | 4/7 |
| Never Give Up Academy | 0.7 | 1.2 | 1 | 2/6 | 2/6 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
Young Star sit 16th in Ligue A (5 points from 11 matches) and Never Give Up Academy sit 8th (14 points from 10 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Never Give Up Academy | 10 | 4 | 2 | 4 | 10 | 11 | 14 |
| 16 | Young Star | 11 | 1 | 2 | 8 | 6 | 28 | 5 |
A question about Young Star vs Never Give Up Academy?
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