Nishan ’42 vs SNL: result 1-1 and analysis
Eerste DivisieRegular Season - 25Kick-off on June 16, 2018 at 07:30 PM (UTC)
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What was the result of Nishan ’42 vs SNL?
Nishan ’42 and SNL drew 1-1 on June 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nishan ’42 have 2 wins, 1 draw and 12 defeats; SNL 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 9, 2018 | Papatam(away) | 5-1 | Eerste Divisie |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2018 | Papatam(home) | 0-1 | Eerste Divisie |
| May 25, 2018 | Robin Hood(away) | 0-9 | Eerste Divisie |
| Apr 29, 2018 | West United(home) | 0-1 | Eerste Divisie |
| Apr 20, 2018 | Voorwaarts(home) | 1-3 | Eerste Divisie |
| Apr 15, 2018 | Botopasie(away) | 2-3 | Eerste Divisie |
What does the head-to-head say?
Across the last 3 meetings: 1 Nishan ’42 win, 2 draws, 0 SNL wins.
| Date | Score | Competition |
|---|---|---|
| Feb 3, 2018 | SNL 0-0 Nishan ’42 | Eerste Divisie |
| May 14, 2017 | SNL 1-1 Nishan ’42 | Eerste Divisie |
| Jan 21, 2017 | Nishan ’42 2-1 SNL | Eerste Divisie |
How many goals should we expect?
Nishan ’42 score 1.4 and concede 2.9 goals per match over their last 15; SNL score 0.9 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nishan ’42 | 1.4 | 2.9 | 1 | 10/15 | 11/15 |
| SNL | 0.9 | 2.6 | 1 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Nishan ’42 vs SNL?
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