LISCR vs Fassell: result 1-2 and analysis
LFA First DivisionRegular Season - 12Kick-off on December 1, 2024 at 04:00 PM (UTC)Samuel Kanyon Doe Practice Pitch, Monrovia
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What was the result of LISCR vs Fassell?
Fassell won 1-2 on December 1, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LISCR have 7 wins, 2 draws and 6 defeats; Fassell have 6, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2024 | Discoveries(home) | 2-1 | LFA First Division |
| Nov 24, 2024 | Black Man Warrior(away) | 2-1 | LFA First Division |
| Nov 20, 2024 | BEA Mountain(home) | 2-3 | LFA First Division |
| Nov 6, 2024 | Shaita(away) | 4-4 | LFA First Division |
| Nov 3, 2024 | Paynesville(home) | 0-3 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2024 | Invincible Eleven(away) | 2-0 | LFA First Division |
| Nov 24, 2024 | Heaven Eleven(home) | 1-0 | LFA First Division |
| Nov 20, 2024 | Global Pharma(away) | 1-1 | LFA First Division |
| Nov 6, 2024 | Freeport(home) | 5-0 | LFA First Division |
| Nov 3, 2024 | Watanga(home) | 0-0 | LFA First Division |
How many goals should we expect?
LISCR score 1.5 and concede 1.5 goals per match over their last 15; Fassell score 1.9 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LISCR | 1.5 | 1.5 | 4 | 8/15 | 9/15 |
| Fassell | 1.9 | 0.3 | 6 | 2/8 | 3/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
LISCR sit 10th in LFA First Division (4 points from 4 matches) and Fassell sit 8th (7 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Fassell | 4 | 2 | 1 | 1 | 5 | 3 | 7 |
| 10 | LISCR | 4 | 1 | 1 | 2 | 4 | 4 | 4 |
A question about LISCR vs Fassell?
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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