Ciervos vs Caja Oblatos CFD: result 1-1 and analysis
Liga Premier Serie BRegular Season - 1Kick-off on September 26, 2023 at 05:00 PM (UTC)Estadio Arreola, Chalco de Díaz Covarrubias
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What was the result of Ciervos vs Caja Oblatos CFD?
Ciervos and Caja Oblatos CFD drew 1-1 on September 26, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ciervos have 3 wins, 2 draws and 10 defeats; Caja Oblatos CFD have 1, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2023 | Cañoneros Marina(home) | 1-0 | Liga Premier Serie B |
| Sep 8, 2023 | Deportivo Dongu(away) | 3-1 | Liga Premier Serie B |
| Sep 3, 2023 | Deportivo Ayense(away) | 0-7 | Liga Premier Serie B |
| Aug 26, 2023 | FC Santiago(home) | 0-1 | Liga Premier Serie B |
| Aug 19, 2023 | Artesanos Metepec(away) | 0-2 | Liga Premier Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2023 | Acambaro(away) | 0-5 | Liga Premier Serie B |
| Sep 17, 2023 | Zitacuaro(home) | 1-3 | Liga Premier Serie B |
| Sep 8, 2023 | Chilangos(away) | 1-1 | Liga Premier Serie B |
| Sep 3, 2023 | Aguacateros CDU(home) | 0-0 | Liga Premier Serie B |
| Aug 18, 2023 | Cañoneros Marina(home) | 1-0 | Liga Premier Serie B |
How many goals should we expect?
Ciervos score 1.2 and concede 2.7 goals per match over their last 15; Caja Oblatos CFD score 0.6 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ciervos | 1.2 | 2.7 | 2 | 6/15 | 10/15 |
| Caja Oblatos CFD | 0.6 | 1.8 | 2 | 2/5 | 2/5 |
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 Ciervos 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