Dilijan vs Pyunik II: result 3-2 and analysis
First LeagueRegular Season - 26Kick-off on June 16, 2020 at 01:30 PM (UTC)UWC Dilijan, Dilijan
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What was the result of Dilijan vs Pyunik II?
Dilijan won 3-2 on June 16, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dilijan have 2 wins, 3 draws and 10 defeats; Pyunik II have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2020 | Torpedo Yerevan(away) | 1-1 | First League |
| Jun 7, 2020 | Shirak II(home) | 4-4 | First League |
| Jun 4, 2020 | Van(away) | 1-5 | First League |
| May 30, 2020 | Sevan(home) | 0-2 | First League |
| Mar 10, 2020 | BKMA(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2020 | Shirak II(home) | 0-1 | First League |
| Jun 8, 2020 | Sevan(away) | 2-5 | First League |
| Jun 4, 2020 | Banants II(home) | 3-4 | First League |
| May 30, 2020 | Masis(away) | 3-8 | First League |
| Mar 10, 2020 | Ani Yerevan(home) | 1-2 | First League |
What does the head-to-head say?
In the last meeting: 0 Dilijan wins, 0 draws, 1 Pyunik II win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2019 | Pyunik II 6-0 Dilijan | First League |
How many goals should we expect?
Dilijan score 1.3 and concede 3.8 goals per match over their last 15; Pyunik II score 1.5 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dilijan | 1.3 | 3.8 | 1 | 10/15 | 11/15 |
| Pyunik II | 1.5 | 3.1 | 0 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pyunik II | 9 | 3 | 2 | 4 | 14 | 16 | 11 |
A question about Dilijan vs Pyunik II?
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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