Fakel U19 vs Torpedo Moskva U19: result 0-0 and analysis
Youth ChampionshipLower Table Round - 5Kick-off on April 14, 2023 at 12:00 PM (UTC)
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What was the result of Fakel U19 vs Torpedo Moskva U19?
Fakel U19 and Torpedo Moskva U19 drew 0-0 on April 14, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel U19 have 6 wins, 3 draws and 6 defeats; Torpedo Moskva U19 have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2023 | Orenburg U19(away) | 1-0 | Youth Championship |
| Mar 31, 2023 | Nizhny Novgorod U19(home) | 1-1 | Youth Championship |
| Mar 25, 2023 | Fakel(away) | 1-5 | Friendlies Clubs |
| Mar 17, 2023 | Krylya Sovetov U19(away) | 0-0 | Youth Championship |
| Mar 10, 2023 | UOR №5 U20(away) | 1-0 | Youth Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2023 | Akhmat Grozny U20(home) | 0-0 | Youth Championship |
| Mar 31, 2023 | Khimki U20(away) | 0-1 | Youth Championship |
| Mar 17, 2023 | Kuban U19(home) | 0-0 | Youth Championship |
| Mar 10, 2023 | Sochi U20(away) | 2-2 | Youth Championship |
| Nov 11, 2022 | Ural U20(home) | 2-0 | Youth Championship |
How many goals should we expect?
Fakel U19 score 1.1 and concede 1.3 goals per match over their last 15; Torpedo Moskva U19 score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel U19 | 1.1 | 1.3 | 5 | 8/15 | 7/15 |
| Torpedo Moskva U19 | 0.9 | 1.4 | 4 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Fakel U19 | 29 | 5 | 5 | 19 | 30 | 60 | 20 |
A question about Fakel U19 vs Torpedo Moskva 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