Junior Sevan vs Alashkert II: result 1-1 and analysis
First LeagueRegular Season - 24Kick-off on April 8, 2019 at 11:30 AM (UTC)Sports Complex Dzoraghbyur, Dzoraghbyur
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What was the result of Junior Sevan vs Alashkert II?
Junior Sevan and Alashkert II drew 1-1 on April 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Junior Sevan have 11 wins, 3 draws and 1 defeats; Alashkert II have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2019 | Shirak II(away) | 0-0 | First League |
| Mar 28, 2019 | Banants III(away) | 0-0 | First League |
| Mar 11, 2019 | Lokomotiv(home) | 2-2 | First League |
| Mar 7, 2019 | Gandzasar II(away) | 8-0 | First League |
| Mar 4, 2019 | Pyunik II(home) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2019 | Banants II(home) | 1-1 | First League |
| Mar 28, 2019 | Erebuni(home) | 3-0 | First League |
| Mar 11, 2019 | Ararat-Armenia II(away) | 3-3 | First League |
| Mar 7, 2019 | Ararat II(away) | 2-2 | First League |
| Mar 4, 2019 | Shirak II(home) | 1-3 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Junior Sevan win(s), 1 draw(s), 0 Alashkert II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2018 | Alashkert II 1-5 Junior Sevan | First League |
| Aug 20, 2018 | Junior Sevan 1-1 Alashkert II | First League |
Last archived meeting: Alashkert II vs Junior Sevan on Nov 5, 2018
How many goals should we expect?
Junior Sevan score 3.1 and concede 0.7 goals per match over their last 15; Alashkert II score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Junior Sevan | 3.1 | 0.7 | 8 | 6/15 | 10/15 |
| Alashkert II | 1.9 | 1.7 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
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