Sochi U20 vs Krylya Sovetov U20: result 2-3 and analysis
Youth ChampionshipMatchday 12Kick-off on October 4, 2019 at 08:00 AM (UTC)Akademii FK Sochi pole № 2, Sochi
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What was the result of Sochi U20 vs Krylya Sovetov U20?
Krylya Sovetov U20 won 2-3 on October 4, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Sochi U20 have 2 wins, 3 draws and 6 defeats; Krylya Sovetov U20 have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Akhmat Grozny U20(home) | 2-0 | Youth Championship |
| Sep 21, 2019 | Dinamo Moskva U20(away) | 0-3 | Youth Championship |
| Sep 13, 2019 | Lokomotiv Moskva U20(home) | 1-1 | Youth Championship |
| Aug 30, 2019 | Rubin Kazan U20(away) | 0-1 | Youth Championship |
| Aug 26, 2019 | Ural U20(away) | 3-5 | Youth Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2019 | Tambov U20(home) | 0-1 | Youth Championship |
| Sep 20, 2019 | Akhmat Grozny U20(away) | 1-3 | Youth Championship |
| Sep 15, 2019 | Krasnodar U20(away) | 3-1 | Youth Championship |
| Aug 29, 2019 | Dinamo Moskva U20(home) | 0-3 | Youth Championship |
| Aug 24, 2019 | Spartak Moskva U20(home) | 4-1 | Youth Championship |
How many goals should we expect?
Sochi U20 score 1.0 and concede 1.5 goals per match over their last 11; Krylya Sovetov U20 score 2.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sochi U20 | 1.0 | 1.5 | 3 | 4/11 | 5/11 |
| Krylya Sovetov U20 | 2.3 | 1.5 | 0 | 8/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Sochi U20 | 30 | 6 | 10 | 14 | 31 | 51 | 28 |
A question about Sochi U20 vs Krylya Sovetov 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