Khimki U20 vs Krylya Sovetov U19: result 1-0 and analysis
Youth ChampionshipLower Table Round - 5Kick-off on April 14, 2023 at 09:00 AM (UTC)Stadion Novye Khimki, Khimki
Full time
What was the result of Khimki U20 vs Krylya Sovetov U19?
Khimki U20 won 1-0 on April 14, 2023.
Goalscorers
- 35′?Khimki 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; Krylya Sovetov U19 have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2023 | UOR №5 U20(away) | 0-3 | Youth Championship |
| Mar 31, 2023 | Torpedo Moskva U19(home) | 1-0 | Youth Championship |
| Mar 17, 2023 | Orenburg U19(away) | 2-1 | Youth Championship |
| Mar 10, 2023 | Nizhny Novgorod U19(home) | 2-2 | Youth Championship |
| Nov 11, 2022 | Lokomotiv Moskva U19(away) | 1-5 | Youth Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2023 | Kuban U19(home) | 2-2 | Youth Championship |
| Mar 31, 2023 | Sochi U20(away) | 2-1 | Youth Championship |
| Mar 17, 2023 | Fakel U19(home) | 0-0 | Youth Championship |
| Mar 10, 2023 | Akhmat Grozny U20(away) | 2-2 | Youth Championship |
| Nov 11, 2022 | Spartak Moskva U19(home) | 1-2 | Youth Championship |
How many goals should we expect?
Khimki U20 score 1.3 and concede 2.0 goals per match over their last 15; Krylya Sovetov U19 score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki U20 | 1.3 | 2.0 | 3 | 11/15 | 12/15 |
| Krylya Sovetov U19 | 1.2 | 1.8 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Krylya Sovetov U19 | 30 | 7 | 5 | 18 | 42 | 64 | 26 |
A question about Khimki U20 vs Krylya Sovetov U19?
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