Botopasie vs Nishan ’42: result 3-3 and analysis
Eerste DivisieRegular Season - 10Kick-off on February 9, 2017 at 11:00 PM (UTC)Dr. Ir. Franklin Essed Stadion, Paramaribo
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What was the result of Botopasie vs Nishan ’42?
Botopasie and Nishan ’42 drew 3-3 on February 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botopasie have 5 wins, 1 draw and 9 defeats; Nishan ’42 have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2017 | PVV(home) | 1-0 | Eerste Divisie |
| Jan 25, 2017 | Jong Rambaan(away) | 1-2 | Eerste Divisie |
| Jan 21, 2017 | Inter Moengotapoe(home) | 0-3 | Eerste Divisie |
| Dec 16, 2016 | Leo Victor(away) | 1-2 | Eerste Divisie |
| Dec 10, 2016 | Transvaal(home) | 1-1 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2017 | Robin Hood(home) | 2-1 | Eerste Divisie |
| Jan 29, 2017 | WBC(away) | 1-3 | Eerste Divisie |
| Jan 21, 2017 | SNL(home) | 2-1 | Eerste Divisie |
| Dec 17, 2016 | PVV(away) | 2-3 | Eerste Divisie |
| Dec 10, 2016 | Jong Rambaan(home) | 0-0 | Eerste Divisie |
What does the head-to-head say?
Across the last 2 meetings: 1 Botopasie win, 1 draw, 0 Nishan ’42 wins.
| Date | Score | Competition |
|---|---|---|
| Mar 5, 2016 | Botopasie 2-1 Nishan ’42 | Eerste Divisie |
| Nov 28, 2015 | Nishan ’42 2-2 Botopasie | Eerste Divisie |
Last archived meeting: Botopasie vs Nishan ’42 on Mar 5, 2016
How many goals should we expect?
Botopasie score 1.4 and concede 2.3 goals per match over their last 15; Nishan ’42 score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botopasie | 1.4 | 2.3 | 2 | 11/15 | 12/15 |
| Nishan ’42 | 1.9 | 1.7 | 3 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Botopasie 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