CF Pachuca 2 vs Caja Oblatos CFD: result 2-0 and analysis
Liga Premier Serie BRegular Season - 11Kick-off on October 21, 2023 at 10:00 PM (UTC)Estadio Hidalgo, Pachuca de Soto
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What was the result of CF Pachuca 2 vs Caja Oblatos CFD?
CF Pachuca 2 won 2-0 on October 21, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, CF Pachuca 2 have 10 wins, 1 draw and 4 defeats; Caja Oblatos CFD have 1, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2023 | Deportivo Dongu(home) | 5-2 | Liga Premier Serie B |
| Oct 7, 2023 | Chilpancingo(away) | 2-0 | Liga Premier Serie B |
| Sep 30, 2023 | Poza Rica(home) | 2-0 | Liga Premier Serie B |
| Sep 23, 2023 | Huracanes Izcalli(away) | 1-3 | Liga Premier Serie B |
| Sep 16, 2023 | Acambaro(home) | 1-4 | Liga Premier Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Chilpancingo(home) | 1-2 | Liga Premier Serie B |
| Oct 6, 2023 | Poza Rica(away) | 2-4 | Liga Premier Serie B |
| Oct 1, 2023 | Huracanes Izcalli(home) | 1-1 | Liga Premier Serie B |
| Sep 26, 2023 | Ciervos(away) | 1-1 | Liga Premier Serie B |
| Sep 23, 2023 | Acambaro(away) | 0-5 | Liga Premier Serie B |
How many goals should we expect?
CF Pachuca 2 score 2.5 and concede 1.1 goals per match over their last 15; Caja Oblatos CFD score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CF Pachuca 2 | 2.5 | 1.1 | 6 | 7/15 | 9/15 |
| Caja Oblatos CFD | 0.9 | 1.9 | 2 | 6/9 | 4/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Caja Oblatos CFD | 18 | 4 | 1 | 13 | 21 | 50 | 13 |
A question about CF Pachuca 2 vs Caja Oblatos CFD?
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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