King Deliux vs Mika II: result 4-2 and analysis
First LeagueRegular Season - 14Kick-off on July 30, 2012 at 02:00 PM (UTC)Kotaik
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What was the result of King Deliux vs Mika II?
King Deliux won 4-2 on July 30, 2012.
What is the recent form of both teams?
Over their last 13 matches in all competitions, King Deliux have 7 wins, 2 draws and 4 defeats; Mika II have 5, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2012 | Shirak II(away) | 1-1 | First League |
| Jul 2, 2012 | Shengavit(home) | 3-0 | First League |
| Jun 25, 2012 | Banants II(away) | 0-2 | First League |
| Jun 18, 2012 | Ararat II(away) | 3-4 | First League |
| Jun 11, 2012 | Impuls II(away) | 5-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 7, 2012 | Impuls II(home) | 1-0 | First League |
| Jul 2, 2012 | Alashkert(away) | 0-1 | First League |
| Jun 25, 2012 | Gandzasar II(home) | 4-4 | First League |
| Jun 18, 2012 | Pyunik II(away) | 2-0 | First League |
| Jun 11, 2012 | Ararat II(home) | 5-1 | First League |
What does the head-to-head say?
In the last meeting: 1 King Deliux win, 0 draws, 0 Mika II wins.
| Date | Score | Competition |
|---|---|---|
| May 7, 2012 | Mika II 0-4 King Deliux | First League |
Last archived meeting: Mika II vs King Deliux on May 7, 2012
How many goals should we expect?
King Deliux score 2.3 and concede 1.2 goals per match over their last 13; Mika II score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| King Deliux | 2.3 | 1.2 | 4 | 7/13 | 8/13 |
| Mika II | 1.5 | 2.2 | 2 | 6/13 | 10/13 |
Over the last 13 matches in all competitions.
A question about King Deliux vs Mika 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