Khimki vs Zenit: result 0-2 and analysis
Premier LeagueRegular Season - 13Kick-off on November 1, 2020 at 11:00 AM (UTC)Stadion Rodina, Khimki
Full time
What was the result of Khimki vs Zenit?
Zenit won 0-2 on November 1, 2020.
Goalscorers
- 18′A. MostovoyZenit
- 78′A. ErokhinZenit
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimki have 4 wins, 4 draws and 7 defeats; Zenit have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | FC Rostov(away) | 2-0 | Premier League |
| Oct 21, 2020 | Nizhny Novgorod(away) | 1-1 | Cup |
| Oct 17, 2020 | Spartak Moscow(home) | 2-3 | Premier League |
| Oct 4, 2020 | Lokomotiv(away) | 1-2 | Premier League |
| Sep 28, 2020 | Dynamo(home) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2020 | Borussia Dortmund(away) | 0-2 | UEFA Champions League |
| Oct 24, 2020 | Rubin(home) | 1-2 | Premier League |
| Oct 20, 2020 | Club Brugge KV(home) | 1-2 | UEFA Champions League |
| Oct 17, 2020 | FC Sochi(home) | 3-1 | Premier League |
| Oct 3, 2020 | Spartak Moscow(away) | 1-1 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Khimki win(s), 0 draw(s), 1 Zenit win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 25, 2020 | Zenit 1-0 Khimki | Cup |
How many goals should we expect?
Khimki score 1.1 and concede 1.6 goals per match over their last 15; Zenit score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki | 1.1 | 1.6 | 4 | 9/15 | 5/15 |
| Zenit | 1.9 | 0.9 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Zenit | 5 | 3 | 0 | 2 | 12 | 4 | 9 |
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