Banants II vs Kotayk: prediction and stats
First LeagueRegular Season - 14Kick-off on November 28, 2016 at 12:00 AM (UTC)Banants-3, Yerevan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 12 wins, 0 draws and 3 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 |
|---|---|---|---|
| Nov 24, 2016 | Erebuni(home) | 6-0 | First League |
| Nov 21, 2016 | Pyunik II(away) | 1-2 | First League |
| Oct 31, 2016 | Gandzasar II(away) | 2-3 | First League |
| Oct 25, 2016 | Ararat II(away) | 2-0 | First League |
| Oct 17, 2016 | Alashkert II(home) | 0-1 | 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: 1 Banants II win, 0 draws, 0 Kotayk wins.
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2016 | Kotayk 2-3 Banants II | First League |
How many goals should we expect?
Banants II score 2.5 and concede 0.9 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 |
|---|---|---|---|---|---|
| Banants II | 2.5 | 0.9 | 6 | 8/15 | 11/15 |
| 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Banants II | 11 | 1 | 5 | 5 | 13 | 25 | 8 |
A question about Banants II vs Kotayk?
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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