Buckley Town vs Guilsfield: prediction and stats
FAW ChampionshipNorth - 12Kick-off on April 7, 2020 at 12:00 AM (UTC)Globe Way Stadium, Buckley / Bwcle, Flintshire
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Buckley Town have 6 wins, 2 draws and 7 defeats; Guilsfield have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Penrhyncoch(home) | 1-0 | FAW Championship |
| Feb 29, 2020 | Porthmadog(away) | 0-2 | FAW Championship |
| Feb 8, 2020 | Llanrhaeadr(away) | 2-1 | FAW Championship |
| Jan 25, 2020 | Corwen(away) | 1-1 | FAW Championship |
| Jan 18, 2020 | Prestatyn Town(home) | 0-5 | FAW Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Conwy Borough(away) | 2-1 | FAW Championship |
| Feb 8, 2020 | Gresford Athletic(home) | 1-0 | FAW Championship |
| Jan 25, 2020 | Llandudno(home) | 3-2 | FAW Championship |
| Jan 4, 2020 | Llanrhaeadr(away) | 3-0 | FAW Championship |
| Jan 1, 2020 | Penrhyncoch(home) | 3-1 | FAW Championship |
How many goals should we expect?
Buckley Town score 1.1 and concede 1.8 goals per match over their last 15; Guilsfield score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Buckley Town | 1.1 | 1.8 | 4 | 7/15 | 9/15 |
| Guilsfield | 2.0 | 0.9 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Buckley Town sit 9th in FAW Championship (15 points from 11 matches) and Guilsfield sit 8th (16 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Guilsfield | 11 | 4 | 4 | 3 | 16 | 14 | 16 |
| 9 | Buckley Town | 11 | 4 | 3 | 4 | 25 | 19 | 15 |
A question about Buckley Town vs Guilsfield?
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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