Perun Kresna vs Balkan Botevgrad: result 2-1 and analysis
Third League - SouthwestSouth-West - 9Kick-off on September 28, 2019 at 02:00 PM (UTC)Gradski stadion, Kresna
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What was the result of Perun Kresna vs Balkan Botevgrad?
Perun Kresna won 2-1 on September 28, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Perun Kresna have 1 win, 1 draw and 6 defeats; Balkan Botevgrad have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Belasitsa(away) | 0-1 | Third League - Southwest |
| Sep 14, 2019 | Septemvri Simitli(home) | 1-3 | Third League - Southwest |
| Sep 7, 2019 | Oborishte(away) | 0-3 | Third League - Southwest |
| Aug 31, 2019 | Kyustendil(home) | 0-3 | Third League - Southwest |
| Aug 24, 2019 | FK Minyor Pernik(away) | 0-5 | Third League - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Lokomotiv Plovdiv(home) | 0-3 | Cup |
| Sep 21, 2019 | Pirin Razlog(home) | 1-1 | Third League - Southwest |
| Sep 14, 2019 | Sportist Svoge(away) | 1-3 | Third League - Southwest |
| Sep 7, 2019 | Nadezhda Dobroslavtsi(home) | 1-0 | Third League - Southwest |
| Aug 24, 2019 | Belasitsa(away) | 2-3 | Third League - Southwest |
How many goals should we expect?
Perun Kresna score 0.4 and concede 2.1 goals per match over their last 8; Balkan Botevgrad score 1.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Perun Kresna | 0.4 | 2.1 | 1 | 2/8 | 5/8 |
| Balkan Botevgrad | 1.3 | 2.1 | 1 | 9/15 | 10/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Balkan Botevgrad | 15 | 7 | 1 | 7 | 17 | 18 | 22 |
A question about Perun Kresna vs Balkan Botevgrad?
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