Nimba Kwado vs Mighty Barrolle: result 1-0 and analysis
LFA First DivisionRegular Season - 15Kick-off on March 28, 2021 at 03:30 PM (UTC)
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What was the result of Nimba Kwado vs Mighty Barrolle?
Nimba Kwado won 1-0 on March 28, 2021.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Nimba Kwado have 8 wins, 5 draws and 1 defeat; Mighty Barrolle have 6, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2021 | Nimba United(away) | 2-2 | LFA First Division |
| Mar 14, 2021 | MC Breweries(home) | 0-0 | LFA First Division |
| Mar 7, 2021 | Watanga(away) | 2-1 | LFA First Division |
| Feb 21, 2021 | NPA Anchors(home) | 1-0 | LFA First Division |
| Feb 17, 2021 | Small Town(away) | 2-0 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2021 | MC Breweries(home) | 0-1 | LFA First Division |
| Mar 14, 2021 | NPA Anchors(away) | 2-1 | LFA First Division |
| Mar 7, 2021 | LISCR(home) | 0-1 | LFA First Division |
| Feb 21, 2021 | BEA Mountain(away) | 2-1 | LFA First Division |
| Feb 17, 2021 | Nimba FC(home) | 1-1 | LFA First Division |
What does the head-to-head say?
In the last meeting: 0 Nimba Kwado wins, 1 draw, 0 Mighty Barrolle wins.
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2020 | Mighty Barrolle 1-1 Nimba Kwado | LFA First Division |
Last archived meeting: Mighty Barrolle vs Nimba Kwado on Nov 22, 2020
How many goals should we expect?
Nimba Kwado score 1.3 and concede 0.6 goals per match over their last 14; Mighty Barrolle score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nimba Kwado | 1.3 | 0.6 | 8 | 6/14 | 4/14 |
| Mighty Barrolle | 1.3 | 0.9 | 3 | 8/14 | 6/14 |
Over the last 14 matches in all competitions.
A question about Nimba Kwado vs Mighty Barrolle?
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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