Dacia vs Renova: result 4-1 and analysis
UEFA Europa League1st Qualifying RoundKick-off on July 9, 2015 at 03:00 PM (UTC)Complexul Sportiv Raional, Orhei
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What was the result of Dacia vs Renova?
Dacia won 4-1 on July 9, 2015.
Goalscorers
- 9′E. CociucDacia
- 32′I. EminiRenova
- 55′V. JardanDacia
- 60′V. PavlovDacia
- 88′Yevhen LozovyiDacia
Official lineup for Dacia vs Renova
The starting elevens fielded at kick-off.
Dacia
- 23V. Pavlov
- 11Maxim Mihaliov
- 15S. Mani
- 17E. Cociuc
- 19Maksym Gavrylenko
- 7V. Frunză
- 2M. Roșca
- 5V. Posmac
- 21V. Zastavnyi
- 24A. Mamah
- 1Artiom Gaiduchevici
Renova
- 7Burim Sadiki
- 13E. Ramadani
- 15A. Gafuri
- 23Gjorgi Mojsov
- 2M. Neziri
- 4Agron Memedi
- 5V. Musliu
- 8I. Emini
- 18N. Mishkovski
- 24J. Mecinovikj
- 1S. Mustafi
What is the recent form of both teams?
Over their last 3 matches in all competitions, Dacia have 2 wins, 0 draws and 1 defeat; Renova have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2015 | Renova(away) | 1-0 | UEFA Europa League |
| Jul 20, 2011 | Zestafoni(home) | 2-0 | UEFA Champions League |
| Jul 13, 2011 | Zestafoni(away) | 0-3 | UEFA Champions League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 30, 2015 | Dacia(home) | 0-1 | UEFA Europa League |
What does the head-to-head say?
In the last meeting: 1 Dacia win, 0 draws, 0 Renova wins.
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2015 | Renova 0-1 Dacia | UEFA Europa League |
How many goals should we expect?
Dacia score 1.0 and concede 1.0 goals per match over their last 3; Renova score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dacia | 1.0 | 1.0 | 2 | 0/3 | 1/3 |
| Renova | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last 3 matches in all competitions.
A question about Dacia vs Renova?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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