Politehnica UTM vs Dacia-Buiucani: result 2-3 and analysis
Super LigaRegular Season - 4Kick-off on July 12, 2025 at 03:00 PM (UTC)
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What was the result of Politehnica UTM vs Dacia-Buiucani?
Dacia-Buiucani won 2-3 on July 12, 2025.
Goalscorers
- 8′D. CucerDacia-Buiucani (o.g.)
- 18′RenatinhoPolitehnica UTM
- 23′S. GandiPolitehnica UTM
- 78′V. NihaevDacia-Buiucani (pen.)
- 86′V. LupascuDacia-Buiucani
What is the recent form of both teams?
Over their last 3 matches in all competitions, Politehnica UTM have 0 wins, 0 draws and 3 defeats; Dacia-Buiucani have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 5, 2025 | Petrocub(away) | 1-2 | Super Liga |
| Jun 28, 2025 | Milsami Orhei(home) | 0-3 | Super Liga |
| Jun 22, 2025 | Sheriff Tiraspol(home) | 0-4 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 6, 2025 | Zimbru(home) | 0-3 | Super Liga |
| Jun 28, 2025 | CSF Bălți(away) | 0-0 | Super Liga |
| Jun 21, 2025 | Spartanii Selemet(home) | 5-1 | Super Liga |
| May 10, 2025 | Victoria Bardar(away) | 5-1 | Super Liga |
| May 6, 2025 | Saxan(home) | 3-0 | Super Liga |
How many goals should we expect?
Politehnica UTM score 0.3 and concede 3.0 goals per match over their last 3; Dacia-Buiucani score 3.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Politehnica UTM | 0.3 | 3.0 | 0 | 1/3 | 3/3 |
| Dacia-Buiucani | 3.3 | 0.6 | 10 | 4/15 | 12/15 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Politehnica UTM sit 5th in Super Liga (11 points from 9 matches) and Dacia-Buiucani sit 4th (13 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dacia-Buiucani | 9 | 4 | 1 | 4 | 12 | 14 | 13 |
| 5 | Politehnica UTM | 9 | 3 | 2 | 4 | 15 | 15 | 11 |
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