Notch vs Papatam: result 2-0 and analysis
Eerste DivisieRegular Season - 13Kick-off on February 24, 2019 at 07:30 PM (UTC)Ronnie Brunswijkstadion, Moengo
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What was the result of Notch vs Papatam?
Notch won 2-0 on February 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Notch have 4 wins, 4 draws and 7 defeats; Papatam 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 |
|---|---|---|---|
| Feb 16, 2019 | PVV(home) | 1-1 | Eerste Divisie |
| Feb 9, 2019 | Santos(away) | 1-1 | Eerste Divisie |
| Feb 2, 2019 | Nishan ’42(home) | 1-0 | Eerste Divisie |
| Jan 27, 2019 | Acoconut(away) | 0-2 | Eerste Divisie |
| Jan 19, 2019 | Broki(home) | 1-4 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2019 | Santos(home) | 5-3 | Eerste Divisie |
| Feb 10, 2019 | Broki(home) | 0-3 | Eerste Divisie |
| Feb 3, 2019 | Transvaal(home) | 0-1 | Eerste Divisie |
| Jan 27, 2019 | PVV(away) | 1-8 | Eerste Divisie |
| Jan 20, 2019 | Botopasie(away) | 1-2 | Eerste Divisie |
What does the head-to-head say?
Across the last 2 meetings: 2 Notch wins, 0 draws, 0 Papatam wins.
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2018 | Notch 2-1 Papatam | Eerste Divisie |
| Nov 12, 2017 | Papatam 1-4 Notch | Eerste Divisie |
How many goals should we expect?
Notch score 1.0 and concede 1.5 goals per match over their last 15; Papatam score 1.3 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Notch | 1.0 | 1.5 | 3 | 8/15 | 6/15 |
| Papatam | 1.3 | 3.5 | 0 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Notch | 24 | 6 | 7 | 11 | 29 | 34 | 25 |
A question about Notch vs Papatam?
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