FC Noah vs Pyunik II: result 5-0 and analysis
First LeagueRegular Season - 16Kick-off on March 12, 2018 at 10:00 AM (UTC)Armaviri Hakob Tonoyani Stadium, Armavir
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What was the result of FC Noah vs Pyunik II?
FC Noah won 5-0 on March 12, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FC Noah have 10 wins, 1 draw and 4 defeats; Pyunik II have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2018 | Lori(away) | 0-2 | First League |
| Dec 4, 2017 | Ararat-Armenia(home) | 1-2 | First League |
| Nov 27, 2017 | Ararat II(away) | 0-2 | First League |
| Nov 23, 2017 | Banants II(away) | 3-0 | First League |
| Nov 20, 2017 | Gandzasar II(home) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2018 | Ararat-Armenia(home) | 1-2 | First League |
| Nov 27, 2017 | Alashkert II(home) | 1-0 | First League |
| Nov 20, 2017 | Shirak II(away) | 3-2 | First League |
| Nov 6, 2017 | Lori(home) | 1-2 | First League |
| Oct 30, 2017 | Ararat II(away) | 1-0 | First League |
What does the head-to-head say?
In the last meeting: 1 FC Noah win, 0 draws, 0 Pyunik II wins.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2017 | Pyunik II 0-1 FC Noah | First League |
How many goals should we expect?
FC Noah score 1.5 and concede 0.7 goals per match over their last 15; Pyunik II score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Noah | 1.5 | 0.7 | 7 | 5/15 | 7/15 |
| Pyunik II | 1.5 | 1.7 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Pyunik II | 10 | 3 | 3 | 4 | 15 | 17 | 12 |
A question about FC Noah 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