Erebuni vs Ararat II: result 1-2 and analysis
First LeagueRegular Season - 21Kick-off on April 18, 2017 at 12:00 PM (UTC)Erebuni, Yerevan
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What was the result of Erebuni vs Ararat II?
Ararat II won 1-2 on April 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Erebuni have 0 wins, 2 draws and 13 defeats; Ararat II have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2017 | Gandzasar II(away) | 0-2 | First League |
| Apr 3, 2017 | Banants II(home) | 0-5 | First League |
| Mar 21, 2017 | Alashkert II(away) | 2-2 | First League |
| Mar 13, 2017 | Shirak II(away) | 0-1 | First League |
| Dec 2, 2016 | Pyunik II(home) | 1-8 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2017 | Shirak II(home) | 1-0 | First League |
| Apr 3, 2017 | Gandzasar II(away) | 2-0 | First League |
| Mar 27, 2017 | Pyunik II(home) | 0-0 | First League |
| Mar 13, 2017 | Banants II(away) | 2-3 | First League |
| Dec 2, 2016 | Alashkert II(away) | 1-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Erebuni win(s), 0 draw(s), 2 Ararat II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2016 | Ararat II 2-1 Erebuni | First League |
| Sep 26, 2016 | Erebuni 2-4 Ararat II | First League |
How many goals should we expect?
Erebuni score 0.9 and concede 3.8 goals per match over their last 15; Ararat II score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Erebuni | 0.9 | 3.8 | 0 | 9/15 | 12/15 |
| Ararat II | 1.3 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Ararat II | 3 | 0 | 0 | 3 | 2 | 9 | 0 |
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