Botev Vratsa II vs Juventus Malchika: result 1-0 and analysis
Third League - NorthwestNorth-West - 33Kick-off on May 28, 2022 at 03:00 PM (UTC)Stadion Hristo Botev, Lukovit
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What was the result of Botev Vratsa II vs Juventus Malchika?
Botev Vratsa II won 1-0 on May 28, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botev Vratsa II have 6 wins, 3 draws and 6 defeats; Juventus Malchika have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | Etar VT II(away) | 3-2 | Third League - Northwest |
| May 14, 2022 | Lokomotiv G. Oryahovitsa(home) | 1-5 | Third League - Northwest |
| May 11, 2022 | OFK Levski(away) | 0-1 | Third League - Northwest |
| Apr 30, 2022 | Bdin(home) | 2-1 | Third League - Northwest |
| Apr 22, 2022 | Spartak Pleven(away) | 1-0 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2022 | Bdin(home) | 3-0 | Third League - Northwest |
| May 14, 2022 | Spartak Pleven(away) | 0-5 | Third League - Northwest |
| May 11, 2022 | Lokomotiv Mezdra(home) | 3-2 | Third League - Northwest |
| May 7, 2022 | Vihar Slavyanovo(away) | 0-1 | Third League - Northwest |
| Apr 30, 2022 | Yantra Polski Trambesh(home) | 1-1 | Third League - Northwest |
How many goals should we expect?
Botev Vratsa II score 1.0 and concede 1.3 goals per match over their last 15; Juventus Malchika score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botev Vratsa II | 1.0 | 1.3 | 6 | 5/15 | 7/15 |
| Juventus Malchika | 1.4 | 1.9 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Juventus Malchika | 22 | 2 | 1 | 19 | 13 | 72 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy