Academia vs Ungheni: result 0-1 and analysis
Super LigaRegular Season - 25Kick-off on March 31, 2017 at 01:00 PM (UTC)
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What was the result of Academia vs Ungheni?
Ungheni won 0-1 on March 31, 2017.
Goalscorers
- 38′P. LeucăUngheni (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Academia have 5 wins, 1 draw and 9 defeats; Ungheni have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2017 | Saxan(away) | 0-1 | Super Liga |
| Mar 12, 2017 | Dinamo-Auto(home) | 1-1 | Super Liga |
| Mar 6, 2017 | Dinamo-Auto(home) | 1-2 | Super Liga |
| Feb 28, 2017 | Zaria Balti(away) | 0-6 | Super Liga |
| Feb 24, 2017 | Petrocub(home) | 2-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2017 | Zimbru(home) | 1-2 | Super Liga |
| Mar 11, 2017 | Dacia(away) | 0-3 | Super Liga |
| Mar 5, 2017 | Milsami Orhei(home) | 0-2 | Super Liga |
| Mar 1, 2017 | Dacia(home) | 1-2 | Super Liga |
| Feb 25, 2017 | Zimbru(away) | 0-4 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Academia wins, 0 draws, 0 Ungheni wins.
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2016 | Ungheni 1-2 Academia | Super Liga |
| Jul 24, 2016 | Academia 4-1 Ungheni | Super Liga |
How many goals should we expect?
Academia score 0.8 and concede 1.6 goals per match over their last 15; Ungheni score 0.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Academia | 0.8 | 1.6 | 2 | 6/15 | 6/15 |
| Ungheni | 0.7 | 2.5 | 1 | 6/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Academia vs Ungheni?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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