Llay Miners Welfare vs Mold Alexandra: result 2-4 and analysis
FAW ChampionshipNorth - 12Kick-off on October 26, 2024 at 01:00 PM (UTC)The Ring, Llay
Full time
What was the result of Llay Miners Welfare vs Mold Alexandra?
Mold Alexandra won 2-4 on October 26, 2024.
Goalscorers
- 13′?Mold Alexandra
- 18′?Mold Alexandra
- 25′?Mold Alexandra
- 61′?Mold Alexandra
- 66′?Llay Miners Welfare
- 90′?Llay Miners Welfare
What is the recent form of both teams?
Over their last 15 matches in all competitions, Llay Miners Welfare have 3 wins, 3 draws and 9 defeats; Mold Alexandra have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2024 | Bangor 1876(away) | 1-2 | Welsh Cup |
| Oct 12, 2024 | Llandudno(away) | 2-3 | FAW Championship |
| Oct 5, 2024 | Flint Mountain(away) | 2-4 | FAW Championship |
| Sep 28, 2024 | Penrhyncoch(home) | 1-1 | FAW Championship |
| Sep 21, 2024 | Corwen(away) | 1-0 | Welsh Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2024 | Penrhyncoch(away) | 3-1 | Welsh Cup |
| Oct 12, 2024 | Airbus UK(home) | 0-3 | FAW Championship |
| Oct 4, 2024 | Denbigh Town(away) | 1-1 | FAW Championship |
| Sep 28, 2024 | Guilsfield(away) | 2-1 | FAW Championship |
| Sep 14, 2024 | Ruthin Town(home) | 2-0 | FAW Championship |
How many goals should we expect?
Llay Miners Welfare score 1.4 and concede 2.4 goals per match over their last 15; Mold Alexandra score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Llay Miners Welfare | 1.4 | 2.4 | 2 | 11/15 | 9/15 |
| Mold Alexandra | 1.7 | 1.7 | 3 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Mold Alexandra | 4 | 2 | 1 | 1 | 6 | 5 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy