Aragats vs Dilijan: result 0-3 and analysis
First LeagueRegular Season - 19Kick-off on February 28, 2020 at 10:00 AM (UTC)Kasakhi Marzik, Ashtarak
Full time
What was the result of Aragats vs Dilijan?
Dilijan won 0-3 on February 28, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aragats have 3 wins, 5 draws and 7 defeats; Dilijan have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Ararat II(home) | 2-2 | First League |
| Dec 3, 2019 | Lokomotiv(home) | 2-2 | First League |
| Nov 28, 2019 | Ararat-Armenia II(away) | 0-6 | First League |
| Nov 22, 2019 | Lernayin Artsakh(home) | 0-2 | First League |
| Nov 6, 2019 | Pyunik II(away) | 2-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Masis(home) | 1-1 | First League |
| Dec 3, 2019 | Ararat II(away) | 2-5 | First League |
| Nov 28, 2019 | Ani Yerevan(home) | 4-2 | First League |
| Nov 22, 2019 | Lokomotiv(away) | 1-3 | First League |
| Nov 6, 2019 | West Armenia(home) | 0-8 | First League |
What does the head-to-head say?
In the last meeting: 1 Aragats win, 0 draws, 0 Dilijan wins.
| Date | Score | Competition |
|---|---|---|
| Aug 13, 2019 | Dilijan 1-5 Aragats | First League |
How many goals should we expect?
Aragats score 2.2 and concede 2.6 goals per match over their last 15; Dilijan score 1.1 and concede 4.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aragats | 2.2 | 2.6 | 0 | 12/15 | 13/15 |
| Dilijan | 1.1 | 4.6 | 0 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Aragats vs Dilijan?
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