Bumamuru vs Dynamik: result 1-2 and analysis
Ligue ARegular Season - 21Kick-off on February 15, 2020 at 01:00 PM (UTC)Stade Urunani, Buganda
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What was the result of Bumamuru vs Dynamik?
Dynamik won 1-2 on February 15, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bumamuru have 5 wins, 4 draws and 6 defeats; Dynamik have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 9, 2020 | Rukinzo(away) | 0-2 | Ligue A |
| Jan 25, 2020 | Les Lierres(home) | 3-0 | Ligue A |
| Jan 19, 2020 | Vital'O(away) | 0-2 | Ligue A |
| Jan 11, 2020 | Musongati(home) | 0-1 | Ligue A |
| Jan 4, 2020 | Ngozi City(away) | 0-3 | Ligue A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Kayanza United(away) | 1-0 | Ligue A |
| Jan 26, 2020 | Flambeau du Centre(away) | 0-1 | Ligue A |
| Jan 20, 2020 | Bujumbura City(away) | 1-1 | Ligue A |
| Jan 12, 2020 | Lydia Ludic(home) | 2-2 | Ligue A |
| Jan 5, 2020 | Vital'O(away) | 1-0 | Ligue A |
What does the head-to-head say?
In the last meeting: 1 Bumamuru win, 0 draws, 0 Dynamik wins.
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2019 | Dynamik 0-1 Bumamuru | Ligue A |
How many goals should we expect?
Bumamuru score 1.3 and concede 1.2 goals per match over their last 15; Dynamik score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bumamuru | 1.3 | 1.2 | 4 | 5/15 | 6/15 |
| Dynamik | 0.9 | 0.7 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Bumamuru | 6 | 2 | 1 | 3 | 7 | 6 | 7 |
A question about Bumamuru 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