Khimki U20 vs Chertanovo U20: result 1-1 and analysis
Youth ChampionshipLower Table Round - 4Kick-off on April 22, 2021 at 10:00 AM (UTC)Stadion Novye Khimki, Khimki
Full time
What was the result of Khimki U20 vs Chertanovo U20?
Khimki U20 and Chertanovo U20 drew 1-1 on April 22, 2021.
Goalscorers
- 61′?Khimki U20
- 87′G. LevinChertanovo U20
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimki U20 have 4 wins, 3 draws and 8 defeats; Chertanovo U20 have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2021 | Rotor Volgograd U20(away) | 3-3 | Youth Championship |
| Apr 7, 2021 | Dinamo Moskva U19(home) | 0-1 | Youth Championship |
| Apr 3, 2021 | Arsenal Tula U20(away) | 3-2 | Youth Championship |
| Mar 17, 2021 | Rubin Kazan U20(away) | 0-1 | Youth Championship |
| Mar 10, 2021 | Zenit U20(home) | 1-3 | Youth Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2021 | UOR №5 U20(away) | 5-5 | Youth Championship |
| Apr 8, 2021 | Ufa U20(home) | 1-1 | Youth Championship |
| Apr 3, 2021 | Ural U20(home) | 1-1 | Youth Championship |
| Mar 17, 2021 | Arsenal Tula U20(home) | 0-4 | Youth Championship |
| Mar 10, 2021 | Krasnodar U20(home) | 1-3 | Youth Championship |
How many goals should we expect?
Khimki U20 score 1.6 and concede 2.3 goals per match over their last 15; Chertanovo U20 score 1.3 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki U20 | 1.6 | 2.3 | 2 | 10/15 | 9/15 |
| Chertanovo U20 | 1.3 | 3.1 | 1 | 13/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Chertanovo U20 | 27 | 7 | 5 | 15 | 39 | 64 | 26 |
A question about Khimki U20 vs Chertanovo U20?
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