Lusaka Dynamos vs Buildcon: result 1-3 and analysis
Super LeagueRegular Season - 36Kick-off on September 19, 2018 at 11:00 AM (UTC)National Heroes Stadium, Lusaka
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What was the result of Lusaka Dynamos vs Buildcon?
Buildcon won 1-3 on September 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lusaka Dynamos have 6 wins, 3 draws and 6 defeats; Buildcon have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Green Eagles(home) | 1-2 | Super League |
| Sep 9, 2018 | Nchanga Rangers(away) | 2-0 | Super League |
| Sep 1, 2018 | Nkwazi(home) | 3-1 | Super League |
| Aug 26, 2018 | Red Arrows(away) | 0-2 | Super League |
| Aug 22, 2018 | Nchanga Rangers(home) | 2-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | Nkwazi(home) | 1-1 | Super League |
| Sep 9, 2018 | Red Arrows(away) | 0-1 | Super League |
| Sep 1, 2018 | Nakambala Leopards(home) | 2-1 | Super League |
| Aug 25, 2018 | Kitwe United(away) | 1-2 | Super League |
| Aug 18, 2018 | Kabwe YSA(home) | 1-0 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Lusaka Dynamos win(s), 1 draw(s), 1 Buildcon win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 13, 2018 | Buildcon 3-1 Lusaka Dynamos | Super League |
| Aug 13, 2017 | Buildcon 1-2 Lusaka Dynamos | Super League |
| Apr 22, 2017 | Lusaka Dynamos 0-0 Buildcon | Super League |
Last archived meeting: Buildcon vs Lusaka Dynamos on Jun 13, 2018
How many goals should we expect?
Lusaka Dynamos score 1.3 and concede 1.2 goals per match over their last 15; Buildcon score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lusaka Dynamos | 1.3 | 1.2 | 4 | 8/15 | 7/15 |
| Buildcon | 1.1 | 0.9 | 6 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy