Moca vs Atlético de SF: result 1-0 and analysis
Liga MayorRegular Season - 14Kick-off on July 2, 2021 at 08:00 PM (UTC)
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What was the result of Moca vs Atlético de SF?
Moca won 1-0 on July 2, 2021.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Moca have 6 wins, 4 draws and 3 defeats; Atlético de SF have 0, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2021 | Vega Real(away) | 2-0 | Liga Mayor |
| Jun 23, 2021 | Cibao(home) | 0-4 | Liga Mayor |
| Jun 19, 2021 | Delfines Del Este(home) | 0-1 | Liga Mayor |
| Jun 16, 2021 | Universidad O&M(home) | 2-1 | Liga Mayor |
| Jun 12, 2021 | Atlético Pantoja(home) | 0-0 | Liga Mayor |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2021 | Atlántico(home) | 1-1 | Liga Mayor |
| Jun 23, 2021 | Atlético Pantoja(away) | 0-3 | Liga Mayor |
| 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 |
What does the head-to-head say?
In the last meeting: 1 Moca win, 0 draws, 0 Atlético de SF wins.
| Date | Score | Competition |
|---|---|---|
| May 30, 2021 | Atlético de SF 0-3 Moca | Liga Mayor |
Last archived meeting: Atlético de SF vs Moca on May 30, 2021
How many goals should we expect?
Moca score 1.4 and concede 0.8 goals per match over their last 13; Atlético de SF score 0.5 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Moca | 1.4 | 0.8 | 6 | 4/13 | 4/13 |
| Atlético de SF | 0.5 | 2.7 | 0 | 7/13 | 10/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Moca | 10 | 3 | 4 | 3 | 8 | 8 | 11 |
A question about Moca vs Atlético de SF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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