Dinamo Bucuresti vs FC Clinceni: result 4-2 and analysis
Liga IRegular Season - 4Kick-off on August 2, 2019 at 06:00 PM (UTC)Stadionul Ştefan cel Mare, Bucureşti
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What was the result of Dinamo Bucuresti vs FC Clinceni?
Dinamo Bucuresti won 4-2 on August 2, 2019.
Goalscorers
- 52′D. PopaDinamo Bucuresti
- 56′M. MontiniDinamo Bucuresti
- 65′J. VojtušFC Clinceni
- 73′F. BejanFC Clinceni (o.g.)
- 82′D. PopaDinamo Bucuresti
- 90′D. PopaDinamo Bucuresti
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Bucuresti have 7 wins, 3 draws and 5 defeats; FC Clinceni have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2019 | CFR 1907 Cluj(away) | 0-1 | Liga I |
| Jul 21, 2019 | Universitatea Craiova(home) | 0-2 | Liga I |
| Jul 15, 2019 | Viitorul Constanta(away) | 0-5 | Liga I |
| May 31, 2019 | FC Voluntari(home) | 0-0 | Liga I |
| May 27, 2019 | FC Botosani(away) | 0-1 | Liga I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2019 | Politehnica Iasi(away) | 0-2 | Liga I |
| Jul 20, 2019 | CFR 1907 Cluj(home) | 1-4 | Liga I |
| Jul 14, 2019 | Universitatea Craiova(away) | 2-3 | Liga I |
| Jun 1, 2019 | Petrolul Ploiesti(away) | 3-2 | Liga II |
| May 24, 2019 | Arges Pitesti(home) | 2-1 | Liga II |
How many goals should we expect?
Dinamo Bucuresti score 0.9 and concede 0.9 goals per match over their last 15; FC Clinceni score 2.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Bucuresti | 0.9 | 0.9 | 8 | 2/15 | 3/15 |
| FC Clinceni | 2.0 | 1.1 | 7 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Dinamo Bucuresti | 6 | 4 | 1 | 1 | 13 | 4 | 13 |
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