Yantra Polski Trambesh vs Parva atomna: result 1-0 and analysis
Third League - NorthwestRegular Season - 7Kick-off on September 23, 2018 at 02:00 PM (UTC)Gradski Stadion, Polski Trambesh
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What was the result of Yantra Polski Trambesh vs Parva atomna?
Yantra Polski Trambesh won 1-0 on September 23, 2018.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Yantra Polski Trambesh have 0 wins, 1 draws and 5 defeats; Parva atomna have 3, 0 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | Kom Berkovitsa(away) | 0-3 | Third League - Northwest |
| Sep 9, 2018 | Vihar Slavyanovo(home) | 0-0 | Third League - Northwest |
| Sep 2, 2018 | Bdin(away) | 1-4 | Third League - Northwest |
| Aug 26, 2018 | Lokomotiv Mezdra(home) | 2-4 | Third League - Northwest |
| Aug 19, 2018 | Yantra Gabrovo(away) | 1-3 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | OFK Levski(home) | 4-0 | Third League - Northwest |
| Sep 9, 2018 | Kom Berkovitsa(away) | 1-2 | Third League - Northwest |
| Sep 2, 2018 | Sevlievo(home) | 3-1 | Third League - Northwest |
| Aug 26, 2018 | Vihar Slavyanovo(away) | 0-2 | Third League - Northwest |
| Aug 19, 2018 | Pavlikeni(home) | 4-1 | Third League - Northwest |
How many goals should we expect?
Yantra Polski Trambesh score 0.8 and concede 2.7 goals per match over their last 6; Parva atomna score 2.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Yantra Polski Trambesh | 0.8 | 2.7 | 1 | 4/6 | 5/6 |
| Parva atomna | 2.2 | 1.8 | 1 | 4/6 | 5/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Yantra Polski Trambesh | 22 | 6 | 6 | 10 | 37 | 47 | 24 |
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