Kotayk vs Shirak II: prediction and stats
First LeagueRegular Season - 19Kick-off on April 3, 2017 at 12:00 AM (UTC)Kotaik
Match cancelled
What is the recent form of both teams?
Over their last 7 matches in all competitions, Kotayk have 5 wins, 1 draw and 1 defeat; Shirak II have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2017 | Pyunik II(home) | 2-3 | First League |
| Mar 13, 2017 | Erebuni(home) | 1-0 | First League |
| Mar 6, 2017 | Gandzasar II(home) | 0-0 | First League |
| Dec 2, 2016 | Banants II(away) | 1-7 | First League |
| Nov 28, 2016 | Alashkert II(away) | 2-1 | First League |
What does the head-to-head say?
In the last meeting: 1 Kotayk win, 0 draws, 0 Shirak II wins.
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2016 | Kotayk 3-0 Shirak II | First League |
How many goals should we expect?
Kotayk score 2.0 and concede 0.9 goals per match over their last 7; Shirak II score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kotayk | 2.0 | 0.9 | 3 | 4/7 | 5/7 |
| Shirak II | 1.1 | 2.0 | 3 | 7/15 | 9/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Shirak II | 9 | 3 | 1 | 5 | 10 | 21 | 10 |
A question about Kotayk vs Shirak II?
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