Shaita vs BEA Mountain: result 2-2 and analysis
LFA First DivisionRegular Season - 13Kick-off on December 4, 2024 at 04:00 PM (UTC)Nancy B. Doe Sports Stadium, Kakata
Full time
What was the result of Shaita vs BEA Mountain?
Shaita and BEA Mountain drew 2-2 on December 4, 2024.
Goalscorers
- 27′?BEA Mountain
- 35′?Shaita
- 70′?BEA Mountain
- 73′?Shaita
What is the recent form of both teams?
Over their last 9 matches in all competitions, Shaita have 1 win, 4 draws and 4 defeats; BEA Mountain have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2024 | Watanga(away) | 2-2 | LFA First Division |
| Nov 27, 2024 | Paynesville(away) | 0-2 | LFA First Division |
| Nov 24, 2024 | Mighty Barrolle(home) | 0-1 | LFA First Division |
| Nov 20, 2024 | LPRC Oilers(away) | 1-3 | LFA First Division |
| Nov 6, 2024 | LISCR(home) | 4-4 | LFA First Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2024 | Paynesville(home) | 1-1 | LFA First Division |
| Nov 27, 2024 | Mighty Barrolle(away) | 3-2 | LFA First Division |
| Nov 24, 2024 | LPRC Oilers(home) | 3-1 | LFA First Division |
| Nov 20, 2024 | LISCR(away) | 3-2 | LFA First Division |
| Nov 6, 2024 | Invincible Eleven(home) | 1-0 | LFA First Division |
How many goals should we expect?
Shaita score 1.2 and concede 1.9 goals per match over their last 9; BEA Mountain score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shaita | 1.2 | 1.9 | 0 | 6/9 | 4/9 |
| BEA Mountain | 2.1 | 1.5 | 2 | 11/15 | 11/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | BEA Mountain | 27 | 16 | 7 | 4 | 58 | 22 | 55 |
A question about Shaita vs BEA Mountain?
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