Saxan vs Dacia: result 2-3 and analysis
Super LigaRegular Season - 33Kick-off on May 21, 2017 at 03:00 PM (UTC)Stadionul Ceadîr Lunga, Ceadîr Lunga
Full time
What was the result of Saxan vs Dacia?
Dacia won 2-3 on May 21, 2017.
Goalscorers
- 10′Georgi SarmovDacia
- 24′Georgi SarmovDacia
- 45′W. EzaSaxan (pen.)
- 56′W. EzaSaxan
- 62′I. IsaDacia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saxan have 4 wins, 2 draws and 9 defeats; Dacia have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2017 | Sheriff Tiraspol(away) | 1-7 | Super Liga |
| May 7, 2017 | Zaria Balti(home) | 1-1 | Super Liga |
| May 3, 2017 | Ungheni(home) | 3-0 | Super Liga |
| Apr 30, 2017 | Milsami Orhei(away) | 1-3 | Super Liga |
| Apr 9, 2017 | Dinamo-Auto(away) | 0-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2017 | Dinamo-Auto(home) | 4-1 | Super Liga |
| May 7, 2017 | Speranţa Nisporeni(away) | 1-0 | Super Liga |
| May 3, 2017 | Academia(away) | 4-0 | Super Liga |
| Apr 30, 2017 | Petrocub(home) | 1-0 | Super Liga |
| Apr 15, 2017 | Zimbru(home) | 3-1 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 0 Saxan wins, 0 draws, 2 Dacia wins.
| Date | Score | Competition |
|---|---|---|
| Mar 5, 2017 | Dacia 2-0 Saxan | Super Liga |
| Oct 15, 2016 | Saxan 0-2 Dacia | Super Liga |
How many goals should we expect?
Saxan score 0.8 and concede 1.7 goals per match over their last 15; Dacia score 1.8 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saxan | 0.8 | 1.7 | 5 | 3/15 | 6/15 |
| Dacia | 1.8 | 0.5 | 8 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Saxan vs Dacia?
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