Musongati vs Dynamik: result 0-1 and analysis
Ligue ARegular Season - 29Kick-off on May 19, 2021 at 01:00 PM (UTC)Stade Ingoma, Gitega
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What was the result of Musongati vs Dynamik?
Dynamik won 0-1 on May 19, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Musongati have 8 wins, 2 draws and 5 defeats; Dynamik have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Vital'O(away) | 1-2 | Ligue A |
| Apr 29, 2021 | Les Eléphants(home) | 2-2 | Ligue A |
| Apr 16, 2021 | Kayanza United(away) | 0-1 | Ligue A |
| Apr 11, 2021 | Aigle Noir(home) | 1-0 | Ligue A |
| Mar 7, 2021 | Bumamuru(away) | 6-1 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Les Eléphants(away) | 2-1 | Ligue A |
| Apr 29, 2021 | Kayanza United(home) | 0-1 | Ligue A |
| Apr 16, 2021 | Royal de Muramvya(away) | 0-1 | Ligue A |
| Apr 9, 2021 | Bumamuru(home) | 0-2 | Ligue A |
| Mar 7, 2021 | Rukinzo(away) | 1-1 | Ligue A |
What does the head-to-head say?
Across the last 3 meetings: 2 Musongati wins, 1 draw, 0 Dynamik wins.
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2020 | Dynamik 0-2 Musongati | Ligue A |
| Feb 22, 2020 | Dynamik 0-1 Musongati | Ligue A |
| Oct 26, 2019 | Musongati 0-0 Dynamik | Ligue A |
How many goals should we expect?
Musongati score 1.7 and concede 1.1 goals per match over their last 15; Dynamik score 0.6 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Musongati | 1.7 | 1.1 | 4 | 7/15 | 7/15 |
| Dynamik | 0.6 | 1.2 | 4 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Musongati | 5 | 1 | 1 | 3 | 3 | 7 | 4 |
A question about Musongati vs Dynamik?
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