Hitrino vs Kubrat: result 3-1 and analysis
Third League - NortheastNorth-East - 2Kick-off on August 17, 2019 at 03:00 PM (UTC)Stadion Hitrino, Hitrino
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What was the result of Hitrino vs Kubrat?
Hitrino won 3-1 on August 17, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hitrino have 8 wins, 4 draws and 3 defeats; Kubrat have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Botev Novi Pazar(away) | 0-0 | Third League - Northeast |
| Apr 26, 2019 | Septemvri Tervel(away) | 0-2 | Third League - Northeast |
| Apr 21, 2019 | Kubrat(home) | 1-0 | Third League - Northeast |
| Apr 17, 2019 | Svetkavitsa Targovishte(away) | 0-0 | Third League - Northeast |
| Apr 13, 2019 | Lokomotiv Ruse(home) | 5-0 | Third League - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2019 | Kaliakra 1923(home) | 1-0 | Third League - Northeast |
| Apr 21, 2019 | Hitrino(away) | 0-1 | Third League - Northeast |
| Apr 17, 2019 | Topoli(home) | 1-1 | Third League - Northeast |
| Apr 14, 2019 | Benkovski Byala(away) | 1-2 | Third League - Northeast |
| Apr 7, 2019 | Botev Novi Pazar(home) | 2-2 | Third League - Northeast |
What does the head-to-head say?
Across the last 2 meetings: 2 Hitrino win(s), 0 draw(s), 0 Kubrat win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2019 | Hitrino 1-0 Kubrat | Third League - Northeast |
| Nov 11, 2018 | Kubrat 0-2 Hitrino | Third League - Northeast |
How many goals should we expect?
Hitrino score 1.5 and concede 0.6 goals per match over their last 15; Kubrat score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hitrino | 1.5 | 0.6 | 10 | 3/15 | 4/15 |
| Kubrat | 1.2 | 1.3 | 2 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
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