Benkovski Isperih vs Svetkavitsa 14: result 0-0 and analysis
Third League - NortheastNortheast - 12Kick-off on November 1, 2025 at 12:00 PM (UTC)Gradski Stadion Isperih, Isperih
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What was the result of Benkovski Isperih vs Svetkavitsa 14?
Benkovski Isperih and Svetkavitsa 14 drew 0-0 on November 1, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Benkovski Isperih have 7 wins, 2 draws and 6 defeats; Svetkavitsa 14 have 2, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2025 | Septemvri Tervel(away) | 1-4 | Third League - Northeast |
| Oct 19, 2025 | Spartak Varna II(home) | 1-0 | Third League - Northeast |
| Oct 12, 2025 | Dunav Ruse(home) | 0-4 | Cup |
| Oct 4, 2025 | Chernomorets Balchik(home) | 1-0 | Third League - Northeast |
| Sep 27, 2025 | Fratria II(away) | 2-1 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2025 | Chernolomets 1919(home) | 0-1 | Third League - Northeast |
| Oct 18, 2025 | Svetkavitsa Targovishte(away) | 1-0 | Third League - Northeast |
| Oct 12, 2025 | Olympic Varna(home) | 2-2 | Third League - Northeast |
| Oct 4, 2025 | Dorostol(away) | 0-0 | Third League - Northeast |
| Oct 1, 2025 | Ludogorets III(home) | 0-1 | Third League - Northeast |
How many goals should we expect?
Benkovski Isperih score 2.3 and concede 1.9 goals per match over their last 15; Svetkavitsa 14 score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Benkovski Isperih | 2.3 | 1.9 | 4 | 10/15 | 10/15 |
| Svetkavitsa 14 | 0.8 | 1.5 | 3 | 4/10 | 3/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Svetkavitsa 14 | 1 | 1 | 0 | 0 | 4 | 0 | 3 |
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