Match

Mighty Barrolle vs Nimba United: result 1-1 and analysis

LFA First DivisionRegular Season - 3Kick-off on November 14, 2021 at 03:30 PM (UTC)Doris Williams Stadium, Buchanan

Mighty Barrolle
1-1
Nimba United

Full time

What was the result of Mighty Barrolle vs Nimba United?

Mighty Barrolle and Nimba United drew 1-1 on November 14, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Mighty Barrolle have 4 wins, 4 draws and 7 defeats; Nimba United have 4, 6 and 5.

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

Mighty Barrolle
DateOpponentScoreCompetition
Nov 7, 2021MC Breweries(away)0-3LFA First Division
Nov 3, 2021Freeport(home)2-2LFA First Division
May 30, 2021BEA Mountain(home)1-1LFA First Division
May 9, 2021Nimba FC(away)3-2LFA First Division
May 2, 2021Nimba United(away)1-1LFA First Division
Nimba United
DateOpponentScoreCompetition
Nov 7, 2021BEA Mountain(home)1-2LFA First Division
Nov 3, 2021Watanga(away)0-4LFA First Division
May 30, 2021Freeport(home)1-2LFA First Division
May 9, 2021LPRC Oilers(away)1-3LFA First Division
May 2, 2021Mighty Barrolle(home)1-1LFA First Division

What does the head-to-head say?

Across the last 2 meetings: 1 Mighty Barrolle win, 1 draw, 0 Nimba United wins.

DateScoreCompetition
May 2, 2021Nimba United 1-1 Mighty BarrolleLFA First Division
Feb 14, 2021Mighty Barrolle 3-1 Nimba UnitedLFA First Division

Last archived meeting: Nimba United vs Mighty Barrolle on May 2, 2021

How many goals should we expect?

Mighty Barrolle score 1.0 and concede 1.5 goals per match over their last 15; Nimba United score 1.1 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mighty Barrolle1.01.518/156/15
Nimba United1.11.267/156/15

Over the last 15 matches in all competitions.

A question about Mighty Barrolle vs Nimba United?

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

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