Nishan ’42 vs Excelsior Meerzorg: result 2-0 and analysis
Eerste DivisieMatchday 16Kick-off on April 23, 2016 at 07:30 PM (UTC)
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What was the result of Nishan ’42 vs Excelsior Meerzorg?
Nishan ’42 won 2-0 on April 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nishan ’42 have 5 wins, 4 draws and 6 defeats; Excelsior Meerzorg have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2016 | Robin Hood(home) | 1-1 | Eerste Divisie |
| Apr 10, 2016 | Leo Victor(away) | 1-5 | Eerste Divisie |
| Mar 12, 2016 | Transvaal(home) | 3-3 | Eerste Divisie |
| Mar 5, 2016 | Botopasie(away) | 1-2 | Eerste Divisie |
| Feb 13, 2016 | WBC(home) | 1-0 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2016 | Transvaal(away) | 3-2 | Eerste Divisie |
| Apr 8, 2016 | Robin Hood(home) | 4-3 | Eerste Divisie |
| Mar 12, 2016 | Botopasie(away) | 1-3 | Eerste Divisie |
| Mar 5, 2016 | Takdier Boys(home) | 1-2 | Eerste Divisie |
| Feb 13, 2016 | Notch(away) | 0-2 | Eerste Divisie |
What does the head-to-head say?
In the last meeting: 1 Nishan ’42 win, 0 draws, 0 Excelsior Meerzorg wins.
| Date | Score | Competition |
|---|---|---|
| Jan 16, 2016 | Excelsior Meerzorg 0-7 Nishan ’42 | Eerste Divisie |
Last archived meeting: Excelsior Meerzorg vs Nishan ’42 on Jan 16, 2016
How many goals should we expect?
Nishan ’42 score 2.0 and concede 1.9 goals per match over their last 15; Excelsior Meerzorg score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nishan ’42 | 2.0 | 1.9 | 4 | 9/15 | 11/15 |
| Excelsior Meerzorg | 1.3 | 2.5 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Nishan ’42 vs Excelsior Meerzorg?
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