Fassell vs Mighty Barrolle: result 6-0 and analysis
LFA First DivisionRegular Season - 1Kick-off on December 8, 2024 at 04:00 PM (UTC)Doris Williams Stadium, Buchanan
Full time
What was the result of Fassell vs Mighty Barrolle?
Fassell won 6-0 on December 8, 2024.
Goalscorers
- 6′Terry SackorFassell
- 53′?Fassell
- 73′?Fassell
- 78′?Fassell
- 90′?Fassell
- 90′?Fassell
What is the recent form of both teams?
Over their last 10 matches in all competitions, Fassell have 8 wins, 2 draws and 0 defeats; Mighty Barrolle have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2024 | LPRC Oilers(away) | 2-1 | LFA First Division |
| Dec 1, 2024 | LISCR(away) | 2-1 | LFA First Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 5, 2024 | Discoveries(home) | 3-6 | LFA First Division |
| Dec 1, 2024 | Black Man Warrior(away) | 1-1 | LFA First Division |
| Nov 27, 2024 | BEA Mountain(home) | 2-3 | LFA First Division |
| Nov 24, 2024 | Shaita(away) | 1-0 | LFA First Division |
| Nov 20, 2024 | Paynesville(home) | 0-1 | LFA First Division |
How many goals should we expect?
Fassell score 1.9 and concede 0.4 goals per match over their last 10; Mighty Barrolle score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fassell | 1.9 | 0.4 | 6 | 4/10 | 5/10 |
| Mighty Barrolle | 1.5 | 2.2 | 3 | 9/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Fassell | 28 | 15 | 8 | 5 | 40 | 17 | 53 |
A question about Fassell 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