Atlético de SF vs Jarabacoa: result 1-2 and analysis
Liga MayorRegular Season - 9Kick-off on June 9, 2021 at 08:00 PM (UTC)
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What was the result of Atlético de SF vs Jarabacoa?
Jarabacoa won 1-2 on June 9, 2021.
Goalscorers
- 6′?Jarabacoa
- 29′?Jarabacoa
- 35′?Atlético de SF
What is the recent form of both teams?
Over their last 8 matches in all competitions, Atlético de SF have 0 wins, 0 draws and 8 defeats; Jarabacoa have 1, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | Cibao(away) | 0-3 | Liga Mayor |
| May 30, 2021 | Moca(home) | 0-3 | Liga Mayor |
| May 23, 2021 | San Cristóbal(away) | 1-3 | Liga Mayor |
| May 15, 2021 | Vega Real(home) | 0-2 | Liga Mayor |
| May 7, 2021 | Atlántico(away) | 1-3 | Liga Mayor |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | San Cristóbal(away) | 0-0 | Liga Mayor |
| May 22, 2021 | Atlántico(home) | 2-2 | Liga Mayor |
| May 16, 2021 | Moca(home) | 1-1 | Liga Mayor |
| May 9, 2021 | Universidad O&M(home) | 1-1 | Liga Mayor |
| Apr 30, 2021 | Delfines Del Este(away) | 0-0 | Liga Mayor |
How many goals should we expect?
Atlético de SF score 0.6 and concede 3.0 goals per match over their last 8; Jarabacoa score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlético de SF | 0.6 | 3.0 | 0 | 5/8 | 7/8 |
| Jarabacoa | 0.8 | 1.8 | 3 | 7/13 | 8/13 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Jarabacoa | 10 | 1 | 2 | 7 | 6 | 19 | 2 |
A question about Atlético de SF vs Jarabacoa?
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