Iskra vs Dacia-Buiucani: result 1-3 and analysis
Liga 1Regular Season - 17Kick-off on September 28, 2019 at 12:30 PM (UTC)Stadionul Orăşenesc Rîbnița, Rîbniţa
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What was the result of Iskra vs Dacia-Buiucani?
Dacia-Buiucani won 1-3 on September 28, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Iskra have 5 wins, 2 draws and 8 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 |
|---|---|---|---|
| Sep 25, 2019 | Floreşti(away) | 3-2 | Liga 1 |
| Sep 22, 2019 | Tighina(away) | 0-1 | Liga 1 |
| Sep 15, 2019 | Ungheni(home) | 3-4 | Liga 1 |
| Aug 31, 2019 | Speranța Drochia(away) | 1-1 | Liga 1 |
| Aug 28, 2019 | Spartanii Selemet(home) | 4-6 | Liga 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 4, 2019 | Sireți(away) | 1-0 | Liga 1 |
| Aug 24, 2019 | Real Succes(away) | 2-0 | Liga 1 |
What does the head-to-head say?
In the last meeting: 0 Iskra wins, 0 draws, 1 Dacia-Buiucani win.
| Date | Score | Competition |
|---|---|---|
| Jun 15, 2019 | Dacia-Buiucani 3-1 Iskra | Liga 1 |
Last archived meeting: Dacia-Buiucani vs Iskra on Jun 15, 2019
How many goals should we expect?
Iskra score 2.2 and concede 2.6 goals per match over their last 15; Dacia-Buiucani score 2.4 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Iskra | 2.2 | 2.6 | 2 | 11/15 | 11/15 |
| Dacia-Buiucani | 2.4 | 0.6 | 7 | 7/15 | 8/15 |
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 | Iskra | 8 | 6 | 0 | 2 | 22 | 8 | 18 |
A question about Iskra 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