Dacia vs Speranţa Nisporeni: result 1-0 and analysis
Super LigaRegular Season - 16Kick-off on November 26, 2016 at 11:00 AM (UTC)Stadionul Moldova, Speia
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What was the result of Dacia vs Speranţa Nisporeni?
Dacia won 1-0 on November 26, 2016.
Goalscorers
- 66′I. IsaDacia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dacia have 9 wins, 2 draws and 4 defeats; Speranţa Nisporeni have 5, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Academia(away) | 1-0 | Super Liga |
| Nov 5, 2016 | Milsami Orhei(home) | 1-1 | Super Liga |
| Oct 21, 2016 | Zimbru(away) | 1-0 | Super Liga |
| Oct 15, 2016 | Saxan(away) | 2-0 | Super Liga |
| Oct 1, 2016 | Ungheni(home) | 3-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Zimbru(home) | 0-1 | Super Liga |
| Nov 9, 2016 | Saxan(away) | 2-2 | Super Liga |
| Oct 29, 2016 | Ungheni(home) | 3-0 | Super Liga |
| Oct 21, 2016 | Dinamo-Auto(away) | 4-1 | Super Liga |
| Oct 16, 2016 | Zaria Balti(away) | 2-0 | Super Liga |
What does the head-to-head say?
In the last meeting: 1 Dacia win, 0 draws, 0 Speranţa Nisporeni wins.
| Date | Score | Competition |
|---|---|---|
| Aug 20, 2016 | Speranţa Nisporeni 1-2 Dacia | Super Liga |
Last archived meeting: Speranţa Nisporeni vs Dacia on Aug 20, 2016
How many goals should we expect?
Dacia score 1.5 and concede 0.5 goals per match over their last 15; Speranţa Nisporeni score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dacia | 1.5 | 0.5 | 9 | 3/15 | 6/15 |
| Speranţa Nisporeni | 1.1 | 1.1 | 5 | 4/14 | 6/14 |
Over the last 15 matches in all competitions.
A question about Dacia vs Speranţa Nisporeni?
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