Ulisses II vs Pyunik II: result 1-3 and analysis
First LeagueRegular Season - 8Kick-off on September 29, 2014 at 11:00 AM (UTC)Kotaik
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What was the result of Ulisses II vs Pyunik II?
Pyunik II won 1-3 on September 29, 2014.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Ulisses II have 0 wins, 2 draws and 5 defeats; Pyunik II have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2014 | Shirak II(away) | 1-1 | First League |
| Sep 6, 2014 | Mika II(home) | 1-6 | First League |
| Aug 29, 2014 | Alashkert II(away) | 2-2 | First League |
| Aug 25, 2014 | Ararat II(home) | 1-4 | First League |
| Aug 19, 2014 | Gandzasar II(away) | 0-4 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2014 | Mika II(away) | 1-2 | First League |
| Sep 6, 2014 | Ararat II(home) | 2-0 | First League |
| Aug 29, 2014 | Banants II(away) | 0-2 | First League |
| Aug 25, 2014 | Shirak II(home) | 3-1 | First League |
| Aug 19, 2014 | Alashkert II(away) | 0-3 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Ulisses II win(s), 0 draw(s), 1 Pyunik II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2014 | Pyunik II 3-0 Ulisses II | First League |
Last archived meeting: Pyunik II vs Ulisses II on Aug 5, 2014
How many goals should we expect?
Ulisses II score 0.9 and concede 3.4 goals per match over their last 7; Pyunik II score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ulisses II | 0.9 | 3.4 | 0 | 5/7 | 6/7 |
| Pyunik II | 2.5 | 1.2 | 5 | 8/15 | 11/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
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