Dinamo-Auto vs Saxan: result 2-0 and analysis
Super LigaRegular Season - 27Kick-off on April 9, 2017 at 01:00 PM (UTC)Stadionul Dinamo-Auto, Ternovca
Full time
What was the result of Dinamo-Auto vs Saxan?
Dinamo-Auto won 2-0 on April 9, 2017.
Goalscorers
- 2′C. MandrîcencoDinamo-Auto
- 72′Octavian OnofreiDinamo-Auto
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo-Auto have 3 wins, 4 draws and 8 defeats; Saxan have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2017 | Speranţa Nisporeni(away) | 1-4 | Super Liga |
| Mar 16, 2017 | Petrocub(home) | 2-2 | Super Liga |
| Mar 12, 2017 | Academia(away) | 1-1 | Super Liga |
| Mar 6, 2017 | Academia(away) | 2-1 | Super Liga |
| Mar 1, 2017 | Milsami Orhei(home) | 0-4 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2017 | Speranţa Nisporeni(home) | 0-1 | Super Liga |
| Mar 31, 2017 | Petrocub(away) | 0-1 | Super Liga |
| Mar 17, 2017 | Academia(home) | 1-0 | Super Liga |
| Mar 11, 2017 | Zimbru(away) | 0-0 | Super Liga |
| Mar 5, 2017 | Dacia(away) | 0-2 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Dinamo-Auto wins, 0 draws, 0 Saxan wins.
| Date | Score | Competition |
|---|---|---|
| Dec 3, 2016 | Saxan 0-3 Dinamo-Auto | Super Liga |
| Sep 10, 2016 | Dinamo-Auto 1-0 Saxan | Super Liga |
How many goals should we expect?
Dinamo-Auto score 1.3 and concede 2.3 goals per match over their last 15; Saxan score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo-Auto | 1.3 | 2.3 | 1 | 11/15 | 12/15 |
| Saxan | 0.7 | 1.7 | 4 | 3/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Dinamo-Auto vs Saxan?
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