Banants II vs Noravank: result 0-1 and analysis
First LeagueRegular Season - 29Kick-off on May 20, 2021 at 02:30 PM (UTC)Banants-3, Yerevan
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What was the result of Banants II vs Noravank?
Noravank won 0-1 on May 20, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 3 wins, 3 draws and 9 defeats; Noravank have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Ararat II(away) | 0-5 | First League |
| May 10, 2021 | BKMA(home) | 2-6 | First League |
| May 5, 2021 | Sevan(away) | 1-4 | First League |
| Apr 30, 2021 | Pyunik II(home) | 1-2 | First League |
| Apr 26, 2021 | Ararat-Armenia II(away) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2021 | Ararat-Armenia II(home) | 2-1 | First League |
| May 11, 2021 | Ararat II(away) | 2-3 | First League |
| May 4, 2021 | West Armenia(home) | 2-1 | First League |
| Apr 30, 2021 | BKMA(away) | 0-1 | First League |
| Apr 25, 2021 | Shirak II(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Banants II win(s), 0 draw(s), 1 Noravank win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2020 | Noravank 2-0 Banants II | First League |
| Aug 31, 2020 | Banants II 2-1 Noravank | First League |
Last archived meeting: Noravank vs Banants II on Nov 30, 2020
How many goals should we expect?
Banants II score 1.0 and concede 2.6 goals per match over their last 15; Noravank score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 1.0 | 2.6 | 2 | 9/15 | 10/15 |
| Noravank | 1.7 | 0.9 | 6 | 8/15 | 8/15 |
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