Deportivo Ayense vs CF Pachuca 2: result 3-0 and analysis
Liga Premier Serie BRegular Season - 14Kick-off on November 12, 2023 at 12:00 AM (UTC)Estadio Municipal Chino Rivas, Ayotlán
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What was the result of Deportivo Ayense vs CF Pachuca 2?
Deportivo Ayense won 3-0 on November 12, 2023.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Deportivo Ayense have 8 wins, 3 draws and 1 defeat; CF Pachuca 2 have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Chilpancingo(away) | 1-0 | Liga Premier Serie B |
| Oct 29, 2023 | Poza Rica(home) | 1-1 | Liga Premier Serie B |
| Oct 20, 2023 | Huracanes Izcalli(away) | 1-0 | Liga Premier Serie B |
| Oct 15, 2023 | Acambaro(home) | 2-3 | Liga Premier Serie B |
| Oct 8, 2023 | Zitacuaro(away) | 3-1 | Liga Premier Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | FC Santiago(home) | 1-0 | Liga Premier Serie B |
| Oct 28, 2023 | Artesanos Metepec(away) | 3-1 | Liga Premier Serie B |
| Oct 21, 2023 | Caja Oblatos CFD(home) | 2-0 | Liga Premier Serie B |
| Oct 14, 2023 | Deportivo Dongu(home) | 5-2 | Liga Premier Serie B |
| Oct 7, 2023 | Chilpancingo(away) | 2-0 | Liga Premier Serie B |
How many goals should we expect?
Deportivo Ayense score 2.8 and concede 1.3 goals per match over their last 12; CF Pachuca 2 score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Deportivo Ayense | 2.8 | 1.3 | 5 | 7/12 | 6/12 |
| CF Pachuca 2 | 2.1 | 1.1 | 6 | 8/15 | 8/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Deportivo Ayense | 6 | 2 | 1 | 3 | 15 | 5 | 7 |
A question about Deportivo Ayense vs CF Pachuca 2?
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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