Match

Benkovski Byala vs Kubrat: result 2-1 and analysis

Third League - NortheastRegular Season - 23Kick-off on April 14, 2019 at 01:00 PM (UTC)Stadion Georgi Benkovski, Byala

Benkovski Byala
2-1
Kubrat

Full time

What was the result of Benkovski Byala vs Kubrat?

Benkovski Byala won 2-1 on April 14, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Benkovski Byala have 1 win, 4 draws and 10 defeats; Kubrat have 4, 2 and 9.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Benkovski Byala
DateOpponentScoreCompetition
Apr 6, 2019Svetkavitsa Targovishte(away)0-3Third League - Northeast
Mar 31, 2019Lokomotiv Ruse(home)1-2Third League - Northeast
Mar 24, 2019Volov Shumen(away)0-1Third League - Northeast
Mar 17, 2019Ustrem Donchevo(home)2-0Third League - Northeast
Mar 9, 2019Spartak Varna(away)0-7Third League - Northeast
Kubrat
DateOpponentScoreCompetition
Apr 7, 2019Botev Novi Pazar(home)2-2Third League - Northeast
Mar 30, 2019Septemvri Tervel(away)0-2Third League - Northeast
Mar 17, 2019Svetkavitsa Targovishte(home)0-1Third League - Northeast
Mar 10, 2019Lokomotiv Ruse(away)0-1Third League - Northeast
Mar 3, 2019Volov Shumen(home)2-1Third League - Northeast

What does the head-to-head say?

In the last meeting: 0 Benkovski Byala wins, 0 draws, 1 Kubrat win.

DateScoreCompetition
Oct 28, 2018Kubrat 1-0 Benkovski ByalaThird League - Northeast

Last archived meeting: Kubrat vs Benkovski Byala on Oct 28, 2018

How many goals should we expect?

Benkovski Byala score 0.7 and concede 2.5 goals per match over their last 15; Kubrat score 1.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Benkovski Byala0.72.518/158/15
Kubrat1.11.336/157/15

Over the last 15 matches in all competitions.

A question about Benkovski Byala vs Kubrat?

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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

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