Noah II vs Gandzasar: result 2-3 and analysis
First LeagueRegular Season - 12Kick-off on October 25, 2023 at 11:00 AM (UTC)Fut Akademia, Vagharshapat (Ejmiatsin)
Full time
What was the result of Noah II vs Gandzasar?
Gandzasar won 2-3 on October 25, 2023.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Noah II have 4 wins, 3 draws and 2 defeats; Gandzasar have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2023 | Pyunik II(away) | 5-1 | First League |
| Oct 1, 2023 | Banants II(home) | 0-0 | First League |
| Sep 22, 2023 | Ararat II(away) | 1-1 | First League |
| Sep 14, 2023 | Ararat-Armenia II(home) | 2-0 | First League |
| Sep 1, 2023 | Alashkert II(away) | 1-4 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2023 | Ararat II(home) | 3-0 | First League |
| Oct 5, 2023 | Onor(home) | 5-1 | Cup |
| Sep 30, 2023 | Ararat-Armenia II(away) | 3-0 | First League |
| Sep 26, 2023 | Alashkert II(home) | 3-1 | First League |
| Sep 21, 2023 | Syunik(away) | 1-1 | First League |
How many goals should we expect?
Noah II score 2.3 and concede 1.3 goals per match over their last 9; Gandzasar score 3.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Noah II | 2.3 | 1.3 | 2 | 6/9 | 5/9 |
| Gandzasar | 3.3 | 0.9 | 7 | 7/15 | 12/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Noah II | 9 | 1 | 3 | 5 | 9 | 24 | 6 |
A question about Noah II vs Gandzasar?
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