Dinamo-Auto vs Academia: result 3-1 and analysis
Super LigaRegular Season - 11Kick-off on October 15, 2016 at 12:00 PM (UTC)Stadionul Dinamo-Auto, Ternovca
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What was the result of Dinamo-Auto vs Academia?
Dinamo-Auto won 3-1 on October 15, 2016.
Goalscorers
- 45′A. CasianDinamo-Auto (pen.)
- 63′Alexandru VremeaAcademia
- 81′Octavian OnofreiDinamo-Auto
- 86′C. DiarraDinamo-Auto
What is the recent form of both teams?
Over their last 9 matches in all competitions, Dinamo-Auto have 1 win, 1 draw and 7 defeats; Academia have 3, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2016 | Milsami Orhei(away) | 1-4 | Super Liga |
| Sep 25, 2016 | Dacia(home) | 0-3 | Super Liga |
| Sep 17, 2016 | Zimbru(away) | 0-1 | Super Liga |
| Sep 10, 2016 | Saxan(home) | 1-0 | Super Liga |
| Aug 27, 2016 | Ungheni(away) | 1-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2016 | Zaria Balti(home) | 0-2 | Super Liga |
| Sep 25, 2016 | Petrocub(away) | 1-0 | Super Liga |
| Sep 17, 2016 | Sheriff Tiraspol(home) | 0-1 | Super Liga |
| Sep 11, 2016 | Speranţa Nisporeni(away) | 1-0 | Super Liga |
| Aug 20, 2016 | Milsami Orhei(home) | 0-4 | Super Liga |
How many goals should we expect?
Dinamo-Auto score 0.6 and concede 1.9 goals per match over their last 9; Academia score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo-Auto | 0.6 | 1.9 | 2 | 4/9 | 5/9 |
| Academia | 0.7 | 1.4 | 2 | 1/9 | 2/9 |
Over the last 9 matches in all competitions.
A question about Dinamo-Auto vs Academia?
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