Match

Nimba Kwado vs Mighty Barrolle: result 2-2 and analysis

LFA First DivisionRegular Season - 8Kick-off on December 30, 2021 at 03:30 PM (UTC)

Nimba Kwado
2-2
Mighty Barrolle

Full time

What was the result of Nimba Kwado vs Mighty Barrolle?

Nimba Kwado and Mighty Barrolle drew 2-2 on December 30, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nimba Kwado have 7 wins, 5 draws and 3 defeats; Mighty Barrolle have 2, 8 and 5.

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

Nimba Kwado
DateOpponentScoreCompetition
Dec 12, 2021BEA Mountain(away)0-0LFA First Division
Dec 5, 2021Watanga(home)0-0LFA First Division
Dec 1, 2021Sandi(home)1-0LFA First Division
Nov 21, 2021LISCR(away)2-1LFA First Division
Nov 14, 2021LPRC Oilers(home)1-0LFA First Division
Mighty Barrolle
DateOpponentScoreCompetition
Dec 12, 2021LISCR(home)2-2LFA First Division
Dec 10, 2021LPRC Oilers(away)0-0LFA First Division
Dec 1, 2021Invincible Eleven(home)1-1LFA First Division
Nov 21, 2021Heaven Eleven(away)1-1LFA First Division
Nov 14, 2021Nimba United(home)1-1LFA First Division

What does the head-to-head say?

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

DateScoreCompetition
Mar 28, 2021Nimba Kwado 1-0 Mighty BarrolleLFA First Division
Nov 22, 2020Mighty Barrolle 1-1 Nimba KwadoLFA First Division

Last archived meeting: Nimba Kwado vs Mighty Barrolle on Mar 28, 2021

How many goals should we expect?

Nimba Kwado score 0.8 and concede 0.5 goals per match over their last 15; Mighty Barrolle score 1.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nimba Kwado0.80.5113/153/15
Mighty Barrolle1.01.529/155/15

Over the last 15 matches in all competitions.

A question about Nimba Kwado vs Mighty Barrolle?

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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