Nimba Kwado vs Muscat: result 3-0 and analysis
LFA First DivisionRegular Season - 17Kick-off on February 26, 2023 at 03:30 PM (UTC)
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What was the result of Nimba Kwado vs Muscat?
Nimba Kwado won 3-0 on February 26, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nimba Kwado have 6 wins, 6 draws and 3 defeats; Muscat have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2023 | Cece United(away) | 0-0 | LFA First Division |
| Feb 5, 2023 | Sandi(home) | 3-1 | LFA First Division |
| Jan 28, 2023 | Invincible Eleven(away) | 1-1 | LFA First Division |
| Jan 24, 2023 | Heaven Eleven(away) | 0-2 | LFA First Division |
| Nov 24, 2022 | Invincible Eleven(away) | 5-1 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2023 | Freeport(home) | 0-2 | LFA First Division |
| Feb 3, 2023 | LISCR(away) | 2-3 | LFA First Division |
| Jan 29, 2023 | BEA Mountain(home) | 0-2 | LFA First Division |
| Nov 27, 2022 | Watanga(home) | 1-5 | LFA First Division |
| Nov 17, 2022 | Jubilee(away) | 3-2 | LFA First Division |
What does the head-to-head say?
In the last meeting: 0 Nimba Kwado wins, 1 draw, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2022 | Muscat 0-0 Nimba Kwado | LFA First Division |
Last archived meeting: Muscat vs Nimba Kwado on Sep 24, 2022
How many goals should we expect?
Nimba Kwado score 1.2 and concede 0.9 goals per match over their last 15; Muscat score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nimba Kwado | 1.2 | 0.9 | 5 | 7/15 | 4/15 |
| Muscat | 1.3 | 1.3 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Nimba Kwado vs Muscat?
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