Montana vs Arda Kardzhali: result 0-0 and analysis
Second LeagueMatchday 9Kick-off on September 30, 2018 at 04:00 PM (UTC)Stadion Ogosta, Montana
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What was the result of Montana vs Arda Kardzhali?
Montana and Arda Kardzhali drew 0-0 on September 30, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montana have 8 wins, 5 draws and 2 defeats; Arda Kardzhali have 5, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2018 | CSKA Sofia(home) | 0-2 | Cup |
| Sep 22, 2018 | Pomorie(away) | 3-1 | Second League |
| Sep 17, 2018 | Tsarsko Selo(home) | 2-0 | Second League |
| Sep 1, 2018 | Dobrudzha(away) | 0-0 | Second League |
| Aug 27, 2018 | Ludogorets II(home) | 2-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2018 | Cherno More Varna(home) | 0-1 | Cup |
| Sep 21, 2018 | Chernomorets Balchik(home) | 1-0 | Second League |
| Sep 15, 2018 | Lokomotiv Sofia(away) | 3-0 | Second League |
| Sep 3, 2018 | Lokomotiv G. Oryahovitsa(home) | 3-0 | Second League |
| Aug 25, 2018 | Nesebar(away) | 1-2 | Second League |
How many goals should we expect?
Montana score 1.5 and concede 0.6 goals per match over their last 15; Arda Kardzhali score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montana | 1.5 | 0.6 | 8 | 6/15 | 5/15 |
| Arda Kardzhali | 1.3 | 0.7 | 5 | 2/9 | 3/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Montana | 15 | 4 | 3 | 8 | 19 | 30 | 15 |
A question about Montana vs Arda Kardzhali?
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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