Dinamo-Auto vs Sfîntul Gheorghe: result 0-0 and analysis
Super LigaRegular Season - 8Kick-off on May 20, 2018 at 03:00 PM (UTC)Stadionul Dinamo-Auto, Ternovca
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What was the result of Dinamo-Auto vs Sfîntul Gheorghe?
Dinamo-Auto and Sfîntul Gheorghe drew 0-0 on May 20, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo-Auto have 4 wins, 3 draws and 8 defeats; Sfîntul Gheorghe have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Milsami Orhei(home) | 0-2 | Super Liga |
| May 5, 2018 | Petrocub(away) | 3-0 | Super Liga |
| Apr 29, 2018 | Zimbru(home) | 1-3 | Super Liga |
| Apr 22, 2018 | Sheriff Tiraspol(away) | 2-5 | Super Liga |
| Apr 14, 2018 | Speranţa Nisporeni(away) | 0-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2018 | Speranţa Nisporeni(away) | 1-1 | Super Liga |
| May 5, 2018 | Zaria Balti(home) | 1-0 | Super Liga |
| Apr 29, 2018 | Sheriff Tiraspol(home) | 2-2 | Super Liga |
| Apr 22, 2018 | Milsami Orhei(away) | 0-1 | Super Liga |
| Apr 14, 2018 | Petrocub(home) | 3-6 | Super Liga |
What does the head-to-head say?
Across the last 3 meetings: 1 Dinamo-Auto win(s), 1 draw(s), 1 Sfîntul Gheorghe win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2018 | Sfîntul Gheorghe 0-1 Dinamo-Auto | Super Liga |
| 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 Apr 1, 2018
How many goals should we expect?
Dinamo-Auto score 0.9 and concede 1.9 goals per match over their last 15; Sfîntul Gheorghe score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo-Auto | 0.9 | 1.9 | 5 | 5/15 | 8/15 |
| Sfîntul Gheorghe | 1.0 | 1.3 | 4 | 8/15 | 5/15 |
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