San Cristóbal vs Atlético de SF: result 3-1 and analysis
Liga MayorRegular Season - 6Kick-off on May 23, 2021 at 09:00 PM (UTC)Estadio Panamericano, San Cristóbal
Full time
What was the result of San Cristóbal vs Atlético de SF?
San Cristóbal won 3-1 on May 23, 2021.
Goalscorers
- 21′?Atlético de SF
- 30′?San Cristóbal
- 35′F. ArrietaSan Cristóbal
- 85′?San Cristóbal
What is the recent form of both teams?
Over their last 5 matches in all competitions, San Cristóbal have 1 win, 1 draw and 3 defeats; Atlético de SF have 0, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2021 | Atlético Pantoja(home) | 2-1 | Liga Mayor |
| May 8, 2021 | Delfines Del Este(home) | 1-1 | Liga Mayor |
| May 2, 2021 | Vega Real(away) | 0-3 | Liga Mayor |
| Apr 24, 2021 | Cibao(home) | 0-2 | Liga Mayor |
| Apr 18, 2021 | Moca(away) | 0-2 | Liga Mayor |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Vega Real(home) | 0-2 | Liga Mayor |
| May 7, 2021 | Atlántico(away) | 1-3 | Liga Mayor |
| May 1, 2021 | Atlético Pantoja(home) | 1-2 | Liga Mayor |
| Apr 24, 2021 | Universidad O&M(home) | 1-3 | Liga Mayor |
| Apr 17, 2021 | Delfines Del Este(away) | 1-5 | Liga Mayor |
How many goals should we expect?
San Cristóbal score 0.6 and concede 1.8 goals per match over their last 5; Atlético de SF score 0.8 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Cristóbal | 0.6 | 1.8 | 0 | 2/5 | 2/5 |
| Atlético de SF | 0.8 | 3.0 | 0 | 4/5 | 4/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | San Cristóbal | 18 | 0 | 2 | 16 | 5 | 63 | 2 |
A question about San Cristóbal vs Atlético de SF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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