Match

Transvaal vs Nishan ’42: result 4-1 and analysis

Eerste DivisieRegular Season - 22Kick-off on May 19, 2018 at 07:30 PM (UTC)André-Kamperveen-Stadion, Paramaribo

Transvaal
4-1
Nishan ’42

Full time

What was the result of Transvaal vs Nishan ’42?

Transvaal won 4-1 on May 19, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Transvaal have 11 wins, 2 draws and 2 defeats; Nishan ’42 have 1, 2 and 12.

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

Transvaal
DateOpponentScoreCompetition
May 11, 2018Leo Victor(away)1-0Eerste Divisie
Apr 22, 2018WBC(away)3-1Eerste Divisie
Apr 15, 2018Papatam(home)0-2Eerste Divisie
Mar 9, 2018PVV(away)2-1Eerste Divisie
Mar 4, 2018Notch(home)1-4Eerste Divisie
Nishan ’42
DateOpponentScoreCompetition
Apr 28, 2018Inter Moengotapoe(away)0-3Eerste Divisie
Apr 21, 2018Botopasie(home)1-3Eerste Divisie
Mar 17, 2018West United(away)0-2Eerste Divisie
Mar 10, 2018Voorwaarts(home)1-3Eerste Divisie
Feb 27, 2018PVV(away)2-5Eerste Divisie

What does the head-to-head say?

Across the last 5 meetings: 1 Transvaal win, 3 draws, 1 Nishan ’42 win.

DateScoreCompetition
Dec 16, 2017Nishan ’42 0-5 TransvaalEerste Divisie
Apr 15, 2017Nishan ’42 1-1 TransvaalEerste Divisie
Nov 20, 2016Transvaal 3-3 Nishan ’42Eerste Divisie
Mar 12, 2016Nishan ’42 3-3 TransvaalEerste Divisie
Dec 4, 2015Transvaal 1-3 Nishan ’42Eerste Divisie

Last archived meeting: Nishan ’42 vs Transvaal on Dec 16, 2017

How many goals should we expect?

Transvaal score 2.2 and concede 1.0 goals per match over their last 15; Nishan ’42 score 1.0 and concede 3.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Transvaal2.21.068/159/15
Nishan ’421.03.118/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
5Transvaal247611303327

A question about Transvaal vs Nishan ’42?

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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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