Match

Botev Vratsa vs Montana: result 2-1 and analysis

Second LeagueRegular Season - 30Kick-off on May 19, 2018 at 02:15 PM (UTC)Stadion Hristo Botev, Vratsa

Botev Vratsa
2-1
Montana

Full time

What was the result of Botev Vratsa vs Montana?

Botev Vratsa won 2-1 on May 19, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Botev Vratsa have 9 wins, 4 draws and 2 defeats; Montana have 10, 3 and 2.

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

Botev Vratsa
DateOpponentScoreCompetition
May 13, 2018Oborishte(away)2-0Second League
May 6, 2018Strumska Slava(away)2-0Second League
Apr 28, 2018Ludogorets II(home)5-0Second League
Apr 23, 2018Botev Galabovo(away)4-0Second League
Apr 19, 2018Sozopol(home)0-1Second League
Montana
DateOpponentScoreCompetition
May 13, 2018Ludogorets II(home)4-0Second League
May 5, 2018Botev Galabovo(away)2-0Second League
Apr 28, 2018Sozopol(home)2-1Second League
Apr 23, 2018Tsarsko Selo(away)1-1Second League
Apr 19, 2018Lokomotiv G. Oryahovitsa(home)1-0Second League

What does the head-to-head say?

In the last meeting: 1 Botev Vratsa win, 0 draws, 0 Montana wins.

DateScoreCompetition
Nov 19, 2017Montana 0-1 Botev VratsaSecond League

Last archived meeting: Montana vs Botev Vratsa on Nov 19, 2017

How many goals should we expect?

Botev Vratsa score 1.7 and concede 0.6 goals per match over their last 15; Montana score 1.9 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Botev Vratsa1.70.694/155/15
Montana1.90.585/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
15Montana12327152611

A question about Botev Vratsa vs Montana?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

Other matches in the same round

Next match: Botev Vratsa and Montana

Ready to know everything about football?