Sfîntul Gheorghe vs Dinamo-Auto: result 0-1 and analysis
Super LigaRegular Season - 1Kick-off on April 1, 2018 at 12:00 PM (UTC)Stadionul Sătesc, Suruceni
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What was the result of Sfîntul Gheorghe vs Dinamo-Auto?
Dinamo-Auto won 0-1 on April 1, 2018.
Goalscorers
- 26′I. ŢurcanDinamo-Auto
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sfîntul Gheorghe have 5 wins, 5 draws and 5 defeats; Dinamo-Auto have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2017 | Zaria Balti(home) | 2-1 | Super Liga |
| Nov 18, 2017 | Speranţa Nisporeni(away) | 0-0 | Super Liga |
| Nov 3, 2017 | Milsami Orhei(home) | 0-3 | Super Liga |
| Oct 28, 2017 | Sheriff Tiraspol(away) | 1-1 | Super Liga |
| Oct 20, 2017 | Spicul Chișcăreni(away) | 1-1 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2017 | Dacia(home) | 3-2 | Super Liga |
| Nov 18, 2017 | Zaria Balti(away) | 0-6 | Super Liga |
| Nov 4, 2017 | Speranţa Nisporeni(home) | 0-3 | Super Liga |
| Oct 29, 2017 | Milsami Orhei(away) | 1-2 | Super Liga |
| Oct 22, 2017 | Sheriff Tiraspol(home) | 0-4 | Super Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Sfîntul Gheorghe win(s), 1 draw(s), 0 Dinamo-Auto win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2017 | Sfîntul Gheorghe 1-0 Dinamo-Auto | Super Liga |
| Jul 29, 2017 | Dinamo-Auto 2-2 Sfîntul Gheorghe | Super Liga |
Last archived meeting: Sfîntul Gheorghe vs Dinamo-Auto on Oct 15, 2017
How many goals should we expect?
Sfîntul Gheorghe score 1.0 and concede 1.3 goals per match over their last 15; Dinamo-Auto score 0.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sfîntul Gheorghe | 1.0 | 1.3 | 3 | 7/15 | 7/15 |
| Dinamo-Auto | 0.9 | 2.3 | 2 | 8/15 | 9/15 |
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