Nikarm vs Syunik: result 0-1 and analysis
First LeagueRegular Season - 13Kick-off on October 30, 2023 at 11:00 AM (UTC)Vanadzor Stadium, Vanadzor
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What was the result of Nikarm vs Syunik?
Syunik won 0-1 on October 30, 2023.
Goalscorers
- 51′?Syunik
What is the recent form of both teams?
Over their last 10 matches in all competitions, Nikarm have 2 wins, 0 draws and 8 defeats; Syunik have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2023 | Andranik(away) | 0-5 | First League |
| Oct 20, 2023 | Shirak II(home) | 3-2 | First League |
| Oct 6, 2023 | Syunik(away) | 0-7 | Cup |
| Sep 22, 2023 | Mika(home) | 1-3 | First League |
| Sep 17, 2023 | BKMA II(away) | 1-5 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2023 | Lernayin Artsakh(home) | 2-3 | First League |
| Oct 18, 2023 | Mika(away) | 7-0 | First League |
| Oct 6, 2023 | Nikarm(home) | 7-0 | Cup |
| Oct 2, 2023 | BKMA II(home) | 2-2 | First League |
| Sep 26, 2023 | Onor(away) | 4-0 | First League |
What does the head-to-head say?
In the last meeting: 0 Nikarm wins, 0 draws, 1 Syunik win.
| Date | Score | Competition |
|---|---|---|
| Oct 6, 2023 | Syunik 7-0 Nikarm | Cup |
How many goals should we expect?
Nikarm score 1.3 and concede 4.2 goals per match over their last 10; Syunik score 2.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikarm | 1.3 | 4.2 | 0 | 6/10 | 8/10 |
| Syunik | 2.6 | 0.8 | 8 | 7/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Syunik | 30 | 22 | 1 | 7 | 83 | 26 | 67 |
A question about Nikarm vs Syunik?
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