Match

Nishan ’42 vs Botopasie: result 4-0 and analysis

Eerste DivisieRegular Season - 29Kick-off on July 28, 2019 at 07:30 PM (UTC)

Nishan ’42
4-0
Botopasie

Full time

What was the result of Nishan ’42 vs Botopasie?

Nishan ’42 won 4-0 on July 28, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Nishan ’42 have 2 wins, 5 draws and 8 defeats; Botopasie have 2, 2 and 11.

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

Nishan ’42
DateOpponentScoreCompetition
Jul 19, 2019WBC(away)0-3Eerste Divisie
Jul 10, 2019Voorwaarts(away)1-0Eerste Divisie
Jul 5, 2019Leo Victor(home)1-3Eerste Divisie
Jun 28, 2019Notch(home)3-3Eerste Divisie
Jun 21, 2019Robin Hood(home)2-4Eerste Divisie
Botopasie
DateOpponentScoreCompetition
Jul 20, 2019Acoconut(home)1-3Eerste Divisie
Jul 14, 2019Robin Hood(away)0-8Eerste Divisie
Jul 7, 2019Voorwaarts(home)1-5Eerste Divisie
Jun 30, 2019SNL(away)1-6Eerste Divisie
Jun 15, 2019Inter Moengotapoe(home)0-7Eerste Divisie

What does the head-to-head say?

Across the last 6 meetings: 0 Nishan ’42 wins, 3 draws, 3 Botopasie wins.

DateScoreCompetition
Mar 2, 2019Botopasie 1-1 Nishan ’42Eerste Divisie
Apr 21, 2018Nishan ’42 1-3 BotopasieEerste Divisie
Nov 30, 2017Botopasie 2-2 Nishan ’42Eerste Divisie
Jun 4, 2017Nishan ’42 1-3 BotopasieEerste Divisie
Feb 9, 2017Botopasie 3-3 Nishan ’42Eerste Divisie
Mar 5, 2016Botopasie 2-1 Nishan ’42Eerste Divisie

Last archived meeting: Botopasie vs Nishan ’42 on Mar 2, 2019

How many goals should we expect?

Nishan ’42 score 1.5 and concede 2.7 goals per match over their last 15; Botopasie score 1.0 and concede 3.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nishan ’421.52.7113/1511/15
Botopasie1.03.419/1512/15

Over the last 15 matches in all competitions.

A question about Nishan ’42 vs Botopasie?

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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