Dacia vs Dinamo-Auto: result 4-1 and analysis
Super LigaRegular Season - 32Kick-off on May 12, 2017 at 03:00 PM (UTC)Stadionul Moldova, Speia
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What was the result of Dacia vs Dinamo-Auto?
Dacia won 4-1 on May 12, 2017.
Goalscorers
- 19′C. DiarraDacia
- 36′C. DiarraDacia
- 45′V. IvanovDinamo-Auto
- 63′Denis Vasilyevich IlescuDacia
- 78′M. CojocaruDacia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dacia have 11 wins, 2 draws and 2 defeats; Dinamo-Auto have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Speranţa Nisporeni(away) | 1-0 | Super Liga |
| May 3, 2017 | Academia(away) | 4-0 | Super Liga |
| Apr 30, 2017 | Petrocub(home) | 1-0 | Super Liga |
| Apr 15, 2017 | Zimbru(home) | 3-1 | Super Liga |
| Apr 5, 2017 | Sheriff Tiraspol(away) | 1-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Sheriff Tiraspol(home) | 0-0 | Super Liga |
| May 3, 2017 | Milsami Orhei(home) | 0-1 | Super Liga |
| Apr 30, 2017 | Zaria Balti(away) | 2-3 | Super Liga |
| Apr 14, 2017 | Ungheni(away) | 2-2 | Super Liga |
| Apr 9, 2017 | Saxan(home) | 2-0 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Dacia wins, 0 draws, 0 Dinamo-Auto wins.
| Date | Score | Competition |
|---|---|---|
| Feb 25, 2017 | Dacia 4-1 Dinamo-Auto | Super Liga |
| Sep 25, 2016 | Dinamo-Auto 0-3 Dacia | Super Liga |
How many goals should we expect?
Dacia score 1.6 and concede 0.4 goals per match over their last 15; Dinamo-Auto score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dacia | 1.6 | 0.4 | 9 | 4/15 | 5/15 |
| Dinamo-Auto | 1.3 | 1.8 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Dacia vs Dinamo-Auto?
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