Svetkavitsa Targovishte vs Topoli: result 4-0 and analysis
Third League - NortheastRegular Season - 10Kick-off on October 27, 2018 at 11:00 AM (UTC)Stadion Dimitar Burkov, Targovishte
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What was the result of Svetkavitsa Targovishte vs Topoli?
Svetkavitsa Targovishte won 4-0 on October 27, 2018.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Svetkavitsa Targovishte have 5 wins, 2 draws and 1 defeats; Topoli have 2, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Benkovski Byala(away) | 1-1 | Third League - Northeast |
| Oct 13, 2018 | Botev Novi Pazar(home) | 0-2 | Third League - Northeast |
| Oct 6, 2018 | Septemvri Tervel(away) | 3-0 | Third League - Northeast |
| Sep 29, 2018 | Kubrat(home) | 2-0 | Third League - Northeast |
| Sep 16, 2018 | Lokomotiv Ruse(away) | 2-0 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2018 | Lokomotiv Ruse(home) | 1-1 | Third League - Northeast |
| Oct 14, 2018 | Volov Shumen(away) | 3-0 | Third League - Northeast |
| Oct 6, 2018 | Ustrem Donchevo(home) | 1-0 | Third League - Northeast |
| Sep 29, 2018 | Spartak Varna(away) | 0-3 | Third League - Northeast |
| Sep 22, 2018 | Suvorovo(home) | 0-2 | Third League - Northeast |
How many goals should we expect?
Svetkavitsa Targovishte score 2.0 and concede 0.5 goals per match over their last 8; Topoli score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Svetkavitsa Targovishte | 2.0 | 0.5 | 5 | 2/8 | 2/8 |
| Topoli | 0.9 | 1.4 | 2 | 2/8 | 3/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Svetkavitsa Targovishte | 32 | 0 | 1 | 31 | 5 | 129 | 0 |
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