Oborishte vs Perun Kresna: result 3-0 and analysis
Third League - SouthwestSouth-West - 6Kick-off on September 7, 2019 at 02:00 PM (UTC)Stadio Orcho voyvoda, Panagyurishte
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What was the result of Oborishte vs Perun Kresna?
Oborishte won 3-0 on September 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oborishte have 8 wins, 3 draws and 4 defeats; Perun Kresna have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Pirin Razlog(away) | 0-0 | Third League - Southwest |
| Aug 24, 2019 | Sportist Svoge(home) | 0-1 | Third League - Southwest |
| Aug 17, 2019 | Nadezhda Dobroslavtsi(away) | 2-1 | Third League - Southwest |
| Aug 10, 2019 | Balkan Botevgrad(home) | 4-0 | Third League - Southwest |
| Aug 3, 2019 | Belasitsa(away) | 0-0 | Third League - Southwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Kyustendil(home) | 0-3 | Third League - Southwest |
| Aug 24, 2019 | FK Minyor Pernik(away) | 0-5 | Third League - Southwest |
| Aug 17, 2019 | Slivnishki geroy(home) | 0-1 | Third League - Southwest |
| Aug 10, 2019 | Botev Ihtiman(away) | 2-1 | Third League - Southwest |
| Aug 3, 2019 | Rilski Sportist(home) | 0-0 | Third League - Southwest |
How many goals should we expect?
Oborishte score 1.5 and concede 0.5 goals per match over their last 15; Perun Kresna score 0.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oborishte | 1.5 | 0.5 | 9 | 4/15 | 6/15 |
| Perun Kresna | 0.4 | 2.0 | 1 | 1/5 | 3/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Oborishte | 10 | 6 | 4 | 0 | 22 | 10 | 22 |
A question about Oborishte vs Perun Kresna?
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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