Match

Voorwaarts vs Nishan ’42: result 0-1 and analysis

Eerste DivisieMatchday 27Kick-off on July 10, 2019 at 11:00 PM (UTC)Dr. Ir. Franklin Essed Stadion, Paramaribo

Voorwaarts
0-1
Nishan ’42

Full time

What was the result of Voorwaarts vs Nishan ’42?

Nishan ’42 won 0-1 on July 10, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Voorwaarts have 5 wins, 2 draws and 8 defeats; Nishan ’42 have 2, 6 and 7.

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

Voorwaarts
DateOpponentScoreCompetition
Jul 7, 2019Botopasie(away)5-1Eerste Divisie
Jun 30, 2019Broki(away)1-3Eerste Divisie
Jun 23, 2019Transvaal(home)1-2Eerste Divisie
Jun 12, 2019Robin Hood(away)0-1Eerste Divisie
Jun 9, 2019Acoconut(away)3-1Eerste Divisie
Nishan ’42
DateOpponentScoreCompetition
Jul 5, 2019Leo Victor(home)1-3Eerste Divisie
Jun 28, 2019Notch(home)3-3Eerste Divisie
Jun 21, 2019Robin Hood(home)2-4Eerste Divisie
Jun 7, 2019SNL(away)3-1Eerste Divisie
Jun 1, 2019Inter Moengotapoe(away)1-5Eerste Divisie

What does the head-to-head say?

Across the last 5 meetings: 2 Voorwaarts wins, 2 draws, 1 Nishan ’42 win.

DateScoreCompetition
Feb 13, 2019Nishan ’42 1-1 VoorwaartsEerste Divisie
Mar 10, 2018Nishan ’42 1-3 VoorwaartsEerste Divisie
Nov 11, 2017Nishan ’42 1-2 VoorwaartsEerste Divisie
Jun 12, 2017Voorwaarts 1-1 Nishan ’42Eerste Divisie
Feb 18, 2017Nishan ’42 2-0 VoorwaartsEerste Divisie

Last archived meeting: Nishan ’42 vs Voorwaarts on Feb 13, 2019

How many goals should we expect?

Voorwaarts score 1.6 and concede 1.7 goals per match over their last 15; Nishan ’42 score 1.6 and concede 2.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Voorwaarts1.61.7210/159/15
Nishan ’421.62.6015/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
3Voorwaarts241374502746

A question about Voorwaarts vs Nishan ’42?

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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