Muscat vs Mighty Barrolle: result 2-1 and analysis
LFA First DivisionRegular Season - 6Kick-off on October 6, 2022 at 03:30 PM (UTC)Samuel Kanyon Doe Practice Pitch, Monrovia
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What was the result of Muscat vs Mighty Barrolle?
Muscat won 2-1 on October 6, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Muscat have 2 wins, 6 draws and 7 defeats; Mighty Barrolle have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Nimba United(away) | 1-1 | LFA First Division |
| Sep 24, 2022 | Nimba Kwado(home) | 0-0 | LFA First Division |
| Sep 16, 2022 | Freeport(away) | 2-1 | LFA First Division |
| Sep 7, 2022 | LISCR(home) | 1-5 | LFA First Division |
| Sep 4, 2022 | BEA Mountain(away) | 0-1 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Cece United(home) | 0-0 | LFA First Division |
| Sep 25, 2022 | Sandi(away) | 2-0 | LFA First Division |
| Sep 17, 2022 | Heaven Eleven(home) | 5-0 | LFA First Division |
| Sep 10, 2022 | Invincible Eleven(away) | 1-1 | LFA First Division |
| Aug 31, 2022 | LPRC Oilers(home) | 0-2 | LFA First Division |
How many goals should we expect?
Muscat score 0.7 and concede 1.2 goals per match over their last 15; Mighty Barrolle score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Muscat | 0.7 | 1.2 | 4 | 8/15 | 6/15 |
| Mighty Barrolle | 1.7 | 1.3 | 5 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Mighty Barrolle | 24 | 7 | 5 | 12 | 36 | 62 | 26 |
A question about Muscat vs Mighty Barrolle?
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