Banants II vs Torpedo Yerevan: result 3-0 and analysis
First LeagueMatchday 14Kick-off on November 6, 2019 at 01:30 PM (UTC)Banants-3, Yerevan
Full time
What was the result of Banants II vs Torpedo Yerevan?
Banants II won 3-0 on November 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 8 wins, 3 draws and 4 defeats; Torpedo Yerevan have 6, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2019 | Van(away) | 0-2 | First League |
| Oct 22, 2019 | BKMA(home) | 1-1 | First League |
| Oct 18, 2019 | Aragats(away) | 2-3 | First League |
| Oct 6, 2019 | Ararat II(home) | 1-0 | First League |
| Oct 1, 2019 | Lokomotiv(away) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2019 | Masis(home) | 2-0 | First League |
| Oct 22, 2019 | Ani Yerevan(away) | 2-1 | First League |
| Oct 16, 2019 | West Armenia(home) | 1-2 | First League |
| Oct 4, 2019 | Alashkert II(away) | 1-5 | First League |
| Sep 24, 2019 | Dilijan(away) | 2-1 | First League |
How many goals should we expect?
Banants II score 2.3 and concede 0.7 goals per match over their last 15; Torpedo Yerevan score 1.8 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 2.3 | 0.7 | 9 | 3/15 | 6/15 |
| Torpedo Yerevan | 1.8 | 2.8 | 2 | 9/12 | 10/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Banants II | 12 | 2 | 5 | 5 | 14 | 25 | 11 |
A question about Banants II vs Torpedo Yerevan?
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