Dacia vs Petrocub: result 1-0 and analysis
Super LigaRegular Season - 30Kick-off on April 30, 2017 at 02:00 PM (UTC)Stadionul Moldova, Speia
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What was the result of Dacia vs Petrocub?
Dacia won 1-0 on April 30, 2017.
Goalscorers
- 88′C. DiarraDacia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dacia have 10 wins, 3 draws and 2 defeats; Petrocub have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Zimbru(home) | 3-1 | Super Liga |
| Apr 5, 2017 | Sheriff Tiraspol(away) | 1-0 | Super Liga |
| Apr 1, 2017 | Zaria Balti(home) | 1-0 | Super Liga |
| Mar 16, 2017 | Milsami Orhei(away) | 0-0 | Super Liga |
| Mar 11, 2017 | Ungheni(home) | 3-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2017 | Zaria Balti(away) | 1-2 | Super Liga |
| Apr 9, 2017 | Milsami Orhei(home) | 3-1 | Super Liga |
| Apr 4, 2017 | Ungheni(away) | 4-0 | Super Liga |
| Mar 31, 2017 | Saxan(home) | 1-0 | Super Liga |
| Mar 20, 2017 | Speranţa Nisporeni(home) | 0-0 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Dacia win, 1 draw, 0 Petrocub wins.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2016 | Dacia 1-1 Petrocub | Super Liga |
| Sep 10, 2016 | Petrocub 0-4 Dacia | Super Liga |
How many goals should we expect?
Dacia score 1.4 and concede 0.5 goals per match over their last 15; Petrocub score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dacia | 1.4 | 0.5 | 8 | 5/15 | 4/15 |
| Petrocub | 1.4 | 1.3 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Petrocub | 15 | 7 | 5 | 3 | 25 | 14 | 26 |
A question about Dacia vs Petrocub?
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