Reboceros La Piedad vs Mazorqueros: result 3-1 and analysis
Liga Premier Serie ARegular Season - 8Kick-off on November 15, 2020 at 10:00 PM (UTC)Estadio Juan N. López, La Piedad
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What was the result of Reboceros La Piedad vs Mazorqueros?
Reboceros La Piedad won 3-1 on November 15, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Reboceros La Piedad have 2 wins, 2 draws and 1 defeat; Mazorqueros have 4, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | UA Zacatecas(away) | 0-0 | Liga Premier Serie A |
| Oct 25, 2020 | Tecos(home) | 2-1 | Liga Premier Serie A |
| Oct 17, 2020 | Leones Negros(away) | 1-0 | Liga Premier Serie A |
| Oct 3, 2020 | Cimarrones de Sonora II(away) | 1-1 | Liga Premier Serie A |
| Sep 27, 2020 | Durango(home) | 2-4 | Liga Premier Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2020 | Atlético San Luis II(home) | 1-0 | Liga Premier Serie A |
| Oct 25, 2020 | Colima(home) | 0-2 | Liga Premier Serie A |
| Oct 18, 2020 | Mineros de Fresnillo(away) | 1-3 | Liga Premier Serie A |
| Oct 13, 2020 | Tecos(home) | 2-0 | Liga Premier Serie A |
| Oct 4, 2020 | Leones Negros(away) | 2-1 | Liga Premier Serie A |
How many goals should we expect?
Reboceros La Piedad score 1.2 and concede 1.2 goals per match over their last 5; Mazorqueros score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reboceros La Piedad | 1.2 | 1.2 | 2 | 3/5 | 2/5 |
| Mazorqueros | 1.3 | 1.1 | 2 | 4/7 | 3/7 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Reboceros La Piedad | 26 | 7 | 1 | 18 | 39 | 66 | 23 |
A question about Reboceros La Piedad vs Mazorqueros?
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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
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