Juventus Malchika vs Tryavna: result 0-0 and analysis
Third League - NorthwestNorth-West - 7Kick-off on September 22, 2019 at 02:00 PM (UTC)Stadion Georgi Karchev, Malchika
Full time
What was the result of Juventus Malchika vs Tryavna?
Juventus Malchika and Tryavna drew 0-0 on September 22, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Juventus Malchika have 0 wins, 0 draws and 6 defeats; Tryavna have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Bdin(away) | 0-1 | Third League - Northwest |
| Sep 8, 2019 | Parva atomna(home) | 2-4 | Third League - Northwest |
| Sep 1, 2019 | Partizan(away) | 0-6 | Third League - Northwest |
| Aug 25, 2019 | Vihar Slavyanovo(home) | 1-3 | Third League - Northwest |
| Aug 18, 2019 | Kom Berkovitsa(away) | 1-7 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Yantra 2019(home) | 1-3 | Third League - Northwest |
| Sep 8, 2019 | Drenovets(away) | 3-4 | Third League - Northwest |
| Sep 1, 2019 | Lokomotiv Dryanovo(home) | 1-1 | Third League - Northwest |
| Aug 25, 2019 | Lokomotiv Mezdra(away) | 1-3 | Third League - Northwest |
| Aug 18, 2019 | Pavlikeni(home) | 0-0 | Third League - Northwest |
How many goals should we expect?
Juventus Malchika score 0.7 and concede 4.2 goals per match over their last 6; Tryavna score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus Malchika | 0.7 | 4.2 | 0 | 3/6 | 5/6 |
| Tryavna | 1.2 | 2.3 | 3 | 8/15 | 10/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Juventus Malchika | 4 | 0 | 0 | 4 | 0 | 16 | 0 |
A question about Juventus Malchika vs Tryavna?
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