DVS 33 Ermelo vs Barendrecht: result 0-2 and analysis
Derde DivisieZaterdag - 12Kick-off on November 16, 2019 at 01:30 PM (UTC)Sportpark Zuid DVS '33, Ermelo
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What was the result of DVS 33 Ermelo vs Barendrecht?
Barendrecht won 0-2 on November 16, 2019.
Goalscorers
- 2′Peter de LangeBarendrecht
- 70′Ramy SalemBarendrecht
What is the recent form of both teams?
Over their last 15 matches in all competitions, DVS 33 Ermelo have 10 wins, 2 draws and 3 defeats; Barendrecht have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Vvsb(away) | 3-1 | Derde Divisie |
| Nov 2, 2019 | VVOG(home) | 1-0 | Derde Divisie |
| Oct 26, 2019 | Excelsior '31(away) | 3-1 | Derde Divisie |
| Oct 5, 2019 | ONS Sneek(away) | 2-1 | Derde Divisie |
| Sep 28, 2019 | Sparta Nijkerk(away) | 0-1 | Derde Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Almere City II(home) | 2-2 | Derde Divisie |
| Nov 2, 2019 | Dovo(away) | 2-1 | Derde Divisie |
| Oct 26, 2019 | GOES(home) | 0-1 | Derde Divisie |
| Oct 12, 2019 | Hoek(home) | 0-4 | Derde Divisie |
| Oct 5, 2019 | VVOG(away) | 2-4 | Derde Divisie |
How many goals should we expect?
DVS 33 Ermelo score 2.2 and concede 1.3 goals per match over their last 15; Barendrecht score 1.7 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| DVS 33 Ermelo | 2.2 | 1.3 | 4 | 9/15 | 12/15 |
| Barendrecht | 1.7 | 2.7 | 2 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | DVS 33 Ermelo | 9 | 1 | 3 | 5 | 12 | 17 | 6 |
A question about DVS 33 Ermelo vs Barendrecht?
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