LISCR vs Muscat: result 3-2 and analysis
LFA First DivisionRegular Season - 15Kick-off on February 3, 2023 at 05:00 PM (UTC)TUSA Sport Field, Monrovia
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What was the result of LISCR vs Muscat?
LISCR won 3-2 on February 3, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LISCR have 8 wins, 4 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 |
|---|---|---|---|
| Jan 27, 2023 | Cece United(away) | 2-0 | LFA First Division |
| Nov 27, 2022 | Sandi(away) | 4-0 | LFA First Division |
| Nov 20, 2022 | Heaven Eleven(home) | 2-0 | LFA First Division |
| Nov 13, 2022 | Invincible Eleven(away) | 1-0 | LFA First Division |
| Nov 2, 2022 | LPRC Oilers(home) | 1-2 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 9, 2022 | Cece United(away) | 1-1 | LFA First Division |
| Nov 4, 2022 | Sandi(home) | 2-0 | LFA First Division |
What does the head-to-head say?
In the last meeting: 1 LISCR win, 0 draws, 0 Muscat wins.
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2022 | Muscat 1-5 LISCR | LFA First Division |
How many goals should we expect?
LISCR score 1.7 and concede 0.9 goals per match over their last 15; Muscat score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LISCR | 1.7 | 0.9 | 7 | 8/15 | 8/15 |
| Muscat | 1.3 | 1.4 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | LISCR | 4 | 1 | 1 | 2 | 4 | 4 | 4 |
A question about LISCR 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