Botopasie vs SNL: result 0-1 and analysis
Eerste DivisieRegular Season - 15Kick-off on April 8, 2017 at 07:30 PM (UTC)NGVB Stadion, Paramaribo
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What was the result of Botopasie vs SNL?
SNL won 0-1 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botopasie have 4 wins, 2 draws and 9 defeats; SNL have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2017 | Robin Hood(away) | 1-5 | Eerste Divisie |
| Mar 19, 2017 | WBC(away) | 3-0 | Eerste Divisie |
| Mar 11, 2017 | Voorwaarts(home) | 2-4 | Eerste Divisie |
| Feb 19, 2017 | Notch(away) | 1-3 | Eerste Divisie |
| Feb 9, 2017 | Nishan ’42(home) | 3-3 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2017 | PVV(home) | 1-0 | Eerste Divisie |
| Mar 18, 2017 | Leo Victor(away) | 0-5 | Eerste Divisie |
| Mar 12, 2017 | Jong Rambaan(home) | 0-3 | Eerste Divisie |
| Feb 19, 2017 | Robin Hood(away) | 1-2 | Eerste Divisie |
| Feb 12, 2017 | Voorwaarts(home) | 0-1 | Eerste Divisie |
What does the head-to-head say?
Across the last 3 meetings: 2 Botopasie wins, 0 draws, 1 SNL win.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2016 | SNL 3-2 Botopasie | Eerste Divisie |
| Mar 20, 2015 | SNL 2-3 Botopasie | Eerste Divisie |
| Nov 12, 2014 | Botopasie 4-2 SNL | Eerste Divisie |
How many goals should we expect?
Botopasie score 1.5 and concede 2.3 goals per match over their last 15; SNL score 0.8 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botopasie | 1.5 | 2.3 | 3 | 11/15 | 12/15 |
| SNL | 0.8 | 2.4 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Botopasie 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