Atlético de SF vs Cibao: result 1-2 and analysis
Liga MayorRegular Season - 16Kick-off on July 10, 2021 at 08:00 PM (UTC)
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What was the result of Atlético de SF vs Cibao?
Cibao won 1-2 on July 10, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Atlético de SF have 1 win, 1 draw and 13 defeats; Cibao have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2021 | San Cristóbal(home) | 1-0 | Liga Mayor |
| Jul 2, 2021 | Moca(away) | 0-1 | Liga Mayor |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2021 | Delfines Del Este(away) | 3-1 | Liga Mayor |
| Jul 4, 2021 | Universidad O&M(home) | 0-0 | Liga Mayor |
| Jun 27, 2021 | Atlético Pantoja(home) | 0-0 | Liga Mayor |
| Jun 23, 2021 | Moca(away) | 4-0 | Liga Mayor |
| Jun 20, 2021 | Vega Real(home) | 1-0 | Liga Mayor |
What does the head-to-head say?
In the last meeting: 0 Atlético de SF wins, 0 draws, 1 Cibao win.
| Date | Score | Competition |
|---|---|---|
| Jun 5, 2021 | Cibao 3-0 Atlético de SF | Liga Mayor |
Last archived meeting: Cibao vs Atlético de SF on Jun 5, 2021
How many goals should we expect?
Atlético de SF score 0.5 and concede 2.4 goals per match over their last 15; Cibao score 1.9 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Atlético de SF | 0.5 | 2.4 | 1 | 7/15 | 10/15 |
| Cibao | 1.9 | 0.3 | 11 | 4/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Cibao | 10 | 6 | 2 | 2 | 22 | 7 | 20 |
A question about Atlético de SF vs Cibao?
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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