Ulisses II vs Mika II: result 0-3 and analysis
First LeagueRegular Season - 19Kick-off on March 24, 2016 at 11:00 AM (UTC)Kotaik
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What was the result of Ulisses II vs Mika II?
Mika II won 0-3 on March 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ulisses II have 2 wins, 2 draws and 11 defeats; Mika II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 21, 2016 | Alashkert II(away) | 0-3 | First League |
| Mar 14, 2016 | Gandzasar II(away) | 0-3 | First League |
| Mar 8, 2016 | Shirak II(home) | 0-3 | First League |
| Nov 30, 2015 | Ararat II(away) | 1-2 | First League |
| Nov 23, 2015 | Banants II(away) | 3-8 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2016 | Shirak II(away) | 0-1 | First League |
| Mar 7, 2016 | Ararat II(away) | 2-0 | First League |
| Nov 30, 2015 | Banants II(away) | 0-3 | First League |
| Nov 23, 2015 | Pyunik II(away) | 0-1 | First League |
| Nov 9, 2015 | Alashkert II(home) | 0-2 | First League |
What does the head-to-head say?
Across the last 6 meetings: 2 Ulisses II win(s), 0 draw(s), 4 Mika II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 2, 2015 | Mika II 6-1 Ulisses II | First League |
| Sep 1, 2015 | Ulisses II 1-2 Mika II | First League |
| May 22, 2015 | Mika II 2-3 Ulisses II | First League |
| Apr 8, 2015 | Ulisses II 4-0 Mika II | First League |
| Nov 10, 2014 | Mika II 3-2 Ulisses II | First League |
| Sep 6, 2014 | Ulisses II 1-6 Mika II | First League |
How many goals should we expect?
Ulisses II score 1.9 and concede 3.4 goals per match over their last 15; Mika II score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ulisses II | 1.9 | 3.4 | 1 | 10/15 | 15/15 |
| Mika II | 1.9 | 1.2 | 5 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy