Ungheni vs Dinamo-Auto: result 2-2 and analysis
Super LigaRegular Season - 28Kick-off on April 14, 2017 at 01:00 PM (UTC)Stadionul Ungheni, Ungheni
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What was the result of Ungheni vs Dinamo-Auto?
Ungheni and Dinamo-Auto drew 2-2 on April 14, 2017.
Goalscorers
- 25′V. IvanovDinamo-Auto
- 27′P. LeucăUngheni
- 34′I. PavlovUngheni
- 90′Octavian OnofreiDinamo-Auto
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ungheni have 3 wins, 1 draws and 11 defeats; Dinamo-Auto have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Speranţa Nisporeni(away) | 1-0 | Super Liga |
| Apr 4, 2017 | Petrocub(home) | 0-4 | Super Liga |
| Mar 31, 2017 | Academia(away) | 1-0 | Super Liga |
| Mar 16, 2017 | Zimbru(home) | 1-2 | Super Liga |
| Mar 11, 2017 | Dacia(away) | 0-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2017 | Saxan(home) | 2-0 | Super Liga |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 1 Ungheni win(s), 1 draw(s), 0 Dinamo-Auto win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2016 | Dinamo-Auto 2-2 Ungheni | Super Liga |
| Aug 27, 2016 | Ungheni 2-1 Dinamo-Auto | Super Liga |
Last archived meeting: Dinamo-Auto vs Ungheni on Nov 29, 2016
How many goals should we expect?
Ungheni score 0.7 and concede 2.3 goals per match over their last 15; Dinamo-Auto score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ungheni | 0.7 | 2.3 | 3 | 5/15 | 12/15 |
| Dinamo-Auto | 1.3 | 2.0 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy