Yantra Gabrovo vs Vihar Slavyanovo: result 1-1 and analysis
Third League - NorthwestRegular Season - 15Kick-off on November 11, 2018 at 12:30 PM (UTC)Stadion Hristo Botev, Gabrovo
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What was the result of Yantra Gabrovo vs Vihar Slavyanovo?
Yantra Gabrovo and Vihar Slavyanovo drew 1-1 on November 11, 2018.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Yantra Gabrovo have 11 wins, 1 draws and 2 defeats; Vihar Slavyanovo have 9, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Bdin(away) | 2-1 | Third League - Northwest |
| Oct 28, 2018 | Lokomotiv Mezdra(home) | 6-1 | Third League - Northwest |
| Oct 21, 2018 | Parva atomna(away) | 1-0 | Third League - Northwest |
| Oct 14, 2018 | Akademik Svishtov(away) | 4-0 | Third League - Northwest |
| Oct 11, 2018 | Tryavna(home) | 3-0 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2018 | Akademik Svishtov(home) | 2-0 | Third League - Northwest |
| Oct 28, 2018 | Tryavna(away) | 5-1 | Third League - Northwest |
| Oct 21, 2018 | OFK Levski(home) | 1-0 | Third League - Northwest |
| Oct 14, 2018 | Sevlievo(away) | 0-2 | Third League - Northwest |
| Oct 11, 2018 | Pavlikeni(home) | 3-1 | Third League - Northwest |
How many goals should we expect?
Yantra Gabrovo score 3.2 and concede 1.2 goals per match over their last 14; Vihar Slavyanovo score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yantra Gabrovo | 3.2 | 1.2 | 4 | 9/14 | 13/14 |
| Vihar Slavyanovo | 1.4 | 0.9 | 8 | 4/14 | 5/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Vihar Slavyanovo | 24 | 11 | 10 | 3 | 24 | 13 | 43 |
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