Sparta vs Dacia-Buiucani: result 0-3 and analysis
Liga 1Regular Season - 19Kick-off on October 19, 2019 at 12:00 PM (UTC)Stadionul CS Real Succes, Chişinău
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What was the result of Sparta vs Dacia-Buiucani?
Dacia-Buiucani won 0-3 on October 19, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sparta have 0 wins, 0 draws and 15 defeats; Dacia-Buiucani have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Tighina(away) | 0-3 | Liga 1 |
| Sep 28, 2019 | Ungheni(home) | 0-3 | Liga 1 |
| Sep 22, 2019 | Floreşti(away) | 0-3 | Liga 1 |
| Sep 14, 2019 | Spartanii Selemet(home) | 0-3 | Liga 1 |
| Sep 8, 2019 | Speranța Drochia(away) | 0-3 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2019 | Victoria Bardar(home) | 3-1 | Liga 1 |
| Sep 28, 2019 | Iskra(away) | 3-1 | Liga 1 |
| Sep 22, 2019 | Sîngerei(away) | 1-1 | Liga 1 |
| Sep 14, 2019 | Grănicerul(away) | 0-0 | Liga 1 |
| Sep 8, 2019 | Zaria Balti(away) | 4-0 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Sparta wins, 0 draws, 1 Dacia-Buiucani win.
| Date | Score | Competition |
|---|---|---|
| Jul 5, 2019 | Dacia-Buiucani 5-1 Sparta | Liga 1 |
Last archived meeting: Dacia-Buiucani vs Sparta on Jul 5, 2019
How many goals should we expect?
Sparta score 0.1 and concede 4.3 goals per match over their last 15; Dacia-Buiucani score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sparta | 0.1 | 4.3 | 0 | 2/15 | 15/15 |
| Dacia-Buiucani | 2.3 | 0.7 | 6 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sparta vs Dacia-Buiucani?
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