Papatam vs Nishan ’42: result 1-5 and analysis
Eerste DivisieRegular Season - 24Kick-off on June 9, 2018 at 07:30 PM (UTC)André-Kamperveen-Stadion, Paramaribo
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What was the result of Papatam vs Nishan ’42?
Nishan ’42 won 1-5 on June 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Papatam have 4 wins, 1 draw and 10 defeats; Nishan ’42 have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2018 | SNL(away) | 1-0 | Eerste Divisie |
| May 20, 2018 | PVV(home) | 4-6 | Eerste Divisie |
| May 13, 2018 | Robin Hood(home) | 0-3 | Eerste Divisie |
| Apr 22, 2018 | Leo Victor(home) | 1-3 | Eerste Divisie |
| Apr 15, 2018 | Transvaal(away) | 2-0 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | WBC(home) | 2-3 | Eerste Divisie |
| May 19, 2018 | Transvaal(away) | 1-4 | Eerste Divisie |
| Apr 28, 2018 | Inter Moengotapoe(away) | 0-3 | Eerste Divisie |
| Apr 21, 2018 | Botopasie(home) | 1-3 | Eerste Divisie |
| Mar 17, 2018 | West United(away) | 0-2 | Eerste Divisie |
What does the head-to-head say?
In the last meeting: 0 Papatam wins, 0 draws, 1 Nishan ’42 win.
| Date | Score | Competition |
|---|---|---|
| Jan 27, 2018 | Nishan ’42 4-2 Papatam | Eerste Divisie |
Last archived meeting: Nishan ’42 vs Papatam on Jan 27, 2018
How many goals should we expect?
Papatam score 1.3 and concede 2.5 goals per match over their last 15; Nishan ’42 score 1.1 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Papatam | 1.3 | 2.5 | 3 | 8/15 | 9/15 |
| Nishan ’42 | 1.1 | 3.1 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Papatam 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