Banants III vs Mika II: result 2-3 and analysis
First LeagueRegular Season - 26Kick-off on April 11, 2014 at 12:00 PM (UTC)Banants Artificial Field, Yerevan
Full time
What was the result of Banants III vs Mika II?
Mika II won 2-3 on April 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants III have 4 wins, 3 draws and 8 defeats; Mika II have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2014 | Ararat II(away) | 1-3 | First League |
| Mar 24, 2014 | Banants II(home) | 1-3 | First League |
| Mar 17, 2014 | Pyunik II(away) | 2-1 | First League |
| Mar 10, 2014 | Gandzasar II(home) | 1-3 | First League |
| Mar 3, 2014 | Shengavit(away) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2014 | Ararat II(home) | 0-2 | First League |
| Mar 28, 2014 | Banants II(away) | 1-1 | First League |
| Mar 24, 2014 | Pyunik II(home) | 0-1 | First League |
| Mar 17, 2014 | Gandzasar II(away) | 1-1 | First League |
| Mar 10, 2014 | Shengavit(home) | 1-3 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Banants III win, 1 draw, 0 Mika II wins.
| Date | Score | Competition |
|---|---|---|
| Nov 8, 2013 | Mika II 3-3 Banants III | First League |
| Sep 8, 2013 | Banants III 9-2 Mika II | First League |
Last archived meeting: Mika II vs Banants III on Nov 8, 2013
How many goals should we expect?
Banants III score 1.7 and concede 2.3 goals per match over their last 15; Mika II score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants III | 1.7 | 2.3 | 1 | 12/15 | 13/15 |
| Mika II | 1.0 | 1.3 | 3 | 9/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Banants III vs Mika II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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