Dunav Ruse vs Kubrat: prediction and stats
Third League - NortheastNorth-East - 20Kick-off on March 20, 2021 at 01:00 PM (UTC)Gradski Stadion, Rousse
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dunav Ruse have 9 wins, 0 draws and 6 defeats; Kubrat have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 14, 2021 | Spartak Varna(away) | 1-3 | Third League - Northeast |
| Mar 3, 2021 | Sportist G.Toshevo(away) | 2-0 | Third League - Northeast |
| Feb 27, 2021 | Botev Novi Pazar(home) | 7-0 | Third League - Northeast |
| Feb 16, 2021 | Etar VT II(home) | 4-1 | Friendlies Clubs |
| Jan 30, 2021 | Shumen 2007(home) | 4-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2020 | Chernolomets 1919(away) | 0-3 | Third League - Northeast |
| Nov 15, 2020 | Svetkavitsa Targovishte(home) | 0-8 | Third League - Northeast |
| Nov 7, 2020 | Septemvri Tervel(away) | 0-6 | Third League - Northeast |
| Oct 31, 2020 | Spartak Varna(home) | 0-4 | Third League - Northeast |
| Oct 24, 2020 | Sportist G.Toshevo(away) | 1-3 | Third League - Northeast |
What does the head-to-head say?
In the last meeting: 1 Dunav Ruse win, 0 draws, 0 Kubrat wins.
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2020 | Kubrat 0-1 Dunav Ruse | Third League - Northeast |
How many goals should we expect?
Dunav Ruse score 2.3 and concede 1.7 goals per match over their last 15; Kubrat score 0.6 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dunav Ruse | 2.3 | 1.7 | 4 | 7/15 | 11/15 |
| Kubrat | 0.6 | 2.8 | 4 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Dunav Ruse vs Kubrat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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