Pyunik II vs Kotayk: prediction and stats
First LeagueRegular Season - 17Kick-off on March 13, 2017 at 12:00 AM (UTC)Pyunik Training Centre, Yerevan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 7 wins, 4 draws and 4 defeats; Kotayk have 5, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 2, 2016 | Erebuni(away) | 8-1 | First League |
| Nov 28, 2016 | Gandzasar II(away) | 1-1 | First League |
| Nov 21, 2016 | Banants II(home) | 2-1 | First League |
| Nov 8, 2016 | Alashkert II(away) | 1-1 | First League |
| Oct 31, 2016 | Shirak II(home) | 4-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2016 | Banants II(home) | 2-3 | First League |
| Sep 16, 2016 | Alashkert II(away) | 2-1 | First League |
| Sep 12, 2016 | Shirak II(home) | 3-0 | First League |
| Aug 29, 2016 | Ararat II(away) | 2-1 | First League |
| Aug 22, 2016 | Pyunik II(away) | 1-1 | First League |
What does the head-to-head say?
In the last meeting: 0 Pyunik II wins, 1 draw, 0 Kotayk wins.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2016 | Pyunik II 1-1 Kotayk | First League |
How many goals should we expect?
Pyunik II score 2.6 and concede 1.1 goals per match over their last 15; Kotayk score 2.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 2.6 | 1.1 | 4 | 10/15 | 9/15 |
| Kotayk | 2.0 | 0.9 | 3 | 4/7 | 5/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pyunik II | 9 | 3 | 2 | 4 | 14 | 16 | 11 |
A question about Pyunik II vs Kotayk?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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