Dunav Ruse vs Volov Shumen: result 2-0 and analysis
Third League - NortheastNorth-East - 9Kick-off on October 16, 2021 at 01:00 PM (UTC)Stadion Dunav, Rousse
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What was the result of Dunav Ruse vs Volov Shumen?
Dunav Ruse won 2-0 on October 16, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dunav Ruse have 12 wins, 2 draws and 1 defeat; Volov Shumen have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Svetkavitsa Targovishte(away) | 2-1 | Third League - Northeast |
| Oct 2, 2021 | Dorostol(home) | 5-0 | Third League - Northeast |
| Sep 26, 2021 | Septemvri Tervel(away) | 3-2 | Third League - Northeast |
| Sep 19, 2021 | Lokomotiv Ruse(home) | 8-0 | Third League - Northeast |
| Sep 11, 2021 | Sportist G.Toshevo(home) | 5-2 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Chernolomets 1919(home) | 0-1 | Third League - Northeast |
| Oct 2, 2021 | Botev Novi Pazar(home) | 1-1 | Third League - Northeast |
| Sep 25, 2021 | Svetkavitsa Targovishte(away) | 0-1 | Third League - Northeast |
| Sep 11, 2021 | Dorostol(home) | 3-1 | Third League - Northeast |
| Sep 4, 2021 | Septemvri Tervel(away) | 0-5 | Third League - Northeast |
How many goals should we expect?
Dunav Ruse score 3.2 and concede 0.9 goals per match over their last 15; Volov Shumen score 1.1 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dunav Ruse | 3.2 | 0.9 | 7 | 8/15 | 12/15 |
| Volov Shumen | 1.1 | 2.7 | 3 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Volov Shumen | 12 | 8 | 2 | 2 | 32 | 12 | 26 |
A question about Dunav Ruse vs Volov Shumen?
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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