BEA Mountain vs Mighty Barrolle: result 1-2 and analysis
LFA First DivisionRegular Season - 11Kick-off on February 21, 2021 at 03:30 PM (UTC)Kinjor Field, Kinjor Town
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What was the result of BEA Mountain vs Mighty Barrolle?
Mighty Barrolle won 1-2 on February 21, 2021.
What is the recent form of both teams?
Over their last 9 matches in all competitions, BEA Mountain have 4 wins, 3 draws and 2 defeats; Mighty Barrolle have 4, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2021 | MC Breweries(away) | 2-0 | LFA First Division |
| Feb 14, 2021 | NPA Anchors(home) | 2-0 | LFA First Division |
| Feb 7, 2021 | LISCR(away) | 2-2 | LFA First Division |
| Feb 3, 2021 | Nimba Kwado(away) | 1-1 | LFA First Division |
| Nov 29, 2020 | Nimba United(away) | 1-1 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2021 | Nimba FC(home) | 1-1 | LFA First Division |
| Feb 14, 2021 | Nimba United(home) | 3-1 | LFA First Division |
| Feb 7, 2021 | Watanga(away) | 3-1 | LFA First Division |
| Feb 3, 2021 | Small Town(home) | 2-0 | LFA First Division |
| Dec 6, 2020 | Freeport(away) | 0-2 | LFA First Division |
How many goals should we expect?
BEA Mountain score 1.1 and concede 0.7 goals per match over their last 9; Mighty Barrolle score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BEA Mountain | 1.1 | 0.7 | 4 | 3/9 | 1/9 |
| Mighty Barrolle | 1.4 | 0.9 | 3 | 6/10 | 4/10 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | BEA Mountain | 27 | 16 | 7 | 4 | 58 | 22 | 55 |
A question about BEA Mountain vs Mighty Barrolle?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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