Lokomotiv vs Banants II: result 2-0 and analysis
First LeagueRegular Season - 9Kick-off on October 1, 2019 at 12:00 PM (UTC)RCCSD Stadium, Yerevan
Full time
What was the result of Lokomotiv vs Banants II?
Lokomotiv won 2-0 on October 1, 2019.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Lokomotiv have 6 wins, 0 draws and 1 defeat; Banants II have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Masis(away) | 7-2 | First League |
| Sep 16, 2019 | Ani Yerevan(home) | 2-0 | First League |
| Aug 30, 2019 | West Armenia(away) | 1-0 | First League |
| Aug 26, 2019 | Alashkert II(home) | 3-2 | First League |
| Aug 17, 2019 | Torpedo Yerevan(home) | 4-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | Ararat-Armenia II(home) | 0-1 | First League |
| Sep 16, 2019 | Lernayin Artsakh(away) | 0-0 | First League |
| Aug 30, 2019 | Pyunik II(home) | 0-0 | First League |
| Aug 26, 2019 | Shirak II(away) | 1-0 | First League |
| Aug 21, 2019 | Sevan(home) | 2-1 | First League |
How many goals should we expect?
Lokomotiv score 2.7 and concede 1.3 goals per match over their last 7; Banants II score 2.7 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv | 2.7 | 1.3 | 2 | 4/7 | 5/7 |
| Banants II | 2.7 | 0.4 | 10 | 4/15 | 8/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Banants II | 11 | 1 | 5 | 5 | 13 | 25 | 8 |
A question about Lokomotiv vs Banants II?
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