Sevan vs Banants II: result 3-0 and analysis
First LeagueRegular Season - 1Kick-off on August 14, 2020 at 01:30 PM (UTC)Kasakhi Marzik Stadium, Ashtarak
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What was the result of Sevan vs Banants II?
Sevan won 3-0 on August 14, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sevan have 7 wins, 1 draws and 7 defeats; Banants II have 8, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2020 | Aragats(away) | 3-4 | First League |
| Jun 24, 2020 | Ararat II(home) | 2-3 | First League |
| Jun 20, 2020 | Lokomotiv(away) | 0-2 | First League |
| Jun 16, 2020 | Ararat-Armenia II(home) | 4-2 | First League |
| Jun 11, 2020 | Lernayin Artsakh(away) | 3-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2020 | Van(home) | 0-5 | First League |
| Jun 27, 2020 | BKMA(away) | 0-1 | First League |
| Jun 23, 2020 | Aragats(home) | 2-1 | First League |
| Jun 19, 2020 | Ararat II(away) | 0-3 | First League |
| Jun 16, 2020 | Lokomotiv(home) | 1-2 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sevan win(s), 0 draw(s), 1 Banants II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 9, 2020 | Sevan 3-1 Banants II | First League |
| Aug 21, 2019 | Banants II 2-1 Sevan | First League |
How many goals should we expect?
Sevan score 2.0 and concede 1.8 goals per match over their last 15; Banants II score 2.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sevan | 2.0 | 1.8 | 2 | 10/15 | 10/15 |
| Banants II | 2.8 | 2.0 | 2 | 10/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Banants II | 4 | 1 | 2 | 1 | 7 | 8 | 5 |
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