Marquense vs Rosario: prediction and stats
Primera DivisionClausura - 14Kick-off on March 27, 2019 at 12:00 AM (UTC)Estadio Marquesa de la Ensenada, San Marcos
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marquense have 7 wins, 4 draws and 4 defeats; Rosario have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2019 | Sololá(away) | 2-1 | Primera Division |
| Mar 17, 2019 | Suchitepéquez(home) | 5-1 | Primera Division |
| Mar 10, 2019 | Chimaltenango(away) | 1-3 | Primera Division |
| Mar 3, 2019 | Nueva Concepción(away) | 0-0 | Primera Division |
| Feb 24, 2019 | San Pedro(home) | 1-1 | Primera Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2018 | Sololá(away) | 1-3 | Primera Division |
| Nov 18, 2018 | Suchitepéquez(home) | 2-4 | Primera Division |
| Nov 11, 2018 | San Pedro(home) | 0-3 | Primera Division |
| Nov 4, 2018 | Chimaltenango(away) | 1-7 | Primera Division |
| Oct 31, 2018 | Santa Lucía(home) | 1-5 | Primera Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Marquense win, 1 draw, 0 Rosario wins.
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2018 | Rosario 1-1 Marquense | Primera Division |
| Aug 18, 2018 | Marquense 1-0 Rosario | Primera Division |
How many goals should we expect?
Marquense score 1.2 and concede 1.0 goals per match over their last 15; Rosario score 0.7 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marquense | 1.2 | 1.0 | 5 | 7/15 | 6/15 |
| Rosario | 0.7 | 3.4 | 1 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Marquense | 18 | 9 | 4 | 5 | 36 | 15 | 31 |
A question about Marquense vs Rosario?
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