Atlético Pantoja vs Atlético de SF: result 3-0 and analysis
Liga MayorRegular Season - 12Kick-off on June 23, 2021 at 08:00 PM (UTC)
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What was the result of Atlético Pantoja vs Atlético de SF?
Atlético Pantoja won 3-0 on June 23, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atlético Pantoja have 3 wins, 3 draws and 9 defeats; Atlético de SF have 0, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2021 | Atlántico(home) | 3-2 | Liga Mayor |
| Jun 16, 2021 | Jarabacoa(away) | 2-2 | Liga Mayor |
| Jun 12, 2021 | Moca(away) | 0-0 | Liga Mayor |
| Jun 9, 2021 | Atlántico(away) | 1-0 | Liga Mayor |
| May 21, 2021 | Vega Real(home) | 1-1 | Liga Mayor |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2021 | Jarabacoa(away) | 0-1 | Liga Mayor |
| Jun 13, 2021 | Universidad O&M(away) | 0-4 | Liga Mayor |
| Jun 9, 2021 | Jarabacoa(home) | 1-2 | Liga Mayor |
| Jun 5, 2021 | Cibao(away) | 0-3 | Liga Mayor |
| May 30, 2021 | Moca(home) | 0-3 | Liga Mayor |
What does the head-to-head say?
Across the last 1 meetings: 1 Atlético Pantoja win(s), 0 draw(s), 0 Atlético de SF win(s).
| Date | Score | Competition |
|---|---|---|
| May 1, 2021 | Atlético de SF 1-2 Atlético Pantoja | Liga Mayor |
Last archived meeting: Atlético de SF vs Atlético Pantoja on May 1, 2021
How many goals should we expect?
Atlético Pantoja score 1.0 and concede 1.8 goals per match over their last 15; Atlético de SF score 0.5 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlético Pantoja | 1.0 | 1.8 | 2 | 9/15 | 9/15 |
| Atlético de SF | 0.5 | 2.8 | 0 | 6/11 | 9/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Atlético Pantoja | 18 | 14 | 1 | 3 | 34 | 11 | 43 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy