Excelsior '31 vs DVS 33 Ermelo: result 1-3 and analysis
Derde DivisieZaterdag - 9Kick-off on October 26, 2019 at 12:30 PM (UTC)Sportpark De Koerbelt, Rijssen
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What was the result of Excelsior '31 vs DVS 33 Ermelo?
DVS 33 Ermelo won 1-3 on October 26, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Excelsior '31 have 5 wins, 1 draw and 5 defeats; DVS 33 Ermelo have 8, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Hoek(home) | 2-3 | Derde Divisie |
| Oct 12, 2019 | GOES(away) | 4-0 | Derde Divisie |
| Oct 5, 2019 | Ter Leede(home) | 2-2 | Derde Divisie |
| Sep 28, 2019 | Almere City II(away) | 4-2 | Derde Divisie |
| Sep 25, 2019 | Dongen(away) | 2-1 | KNVB Beker |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | ONS Sneek(away) | 2-1 | Derde Divisie |
| Sep 28, 2019 | Sparta Nijkerk(away) | 0-1 | Derde Divisie |
| Sep 21, 2019 | Dovo(home) | 2-1 | Derde Divisie |
| Sep 14, 2019 | Harkemase Boys(away) | 2-2 | Derde Divisie |
| Sep 7, 2019 | GOES(home) | 4-0 | Derde Divisie |
How many goals should we expect?
Excelsior '31 score 1.8 and concede 1.5 goals per match over their last 11; DVS 33 Ermelo score 2.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Excelsior '31 | 1.8 | 1.5 | 2 | 6/11 | 7/11 |
| DVS 33 Ermelo | 2.2 | 1.7 | 3 | 9/14 | 12/14 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Excelsior '31 sit 5th in Derde Divisie (19 points from 9 matches) and DVS 33 Ermelo sit 13th (6 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Excelsior '31 | 9 | 6 | 1 | 2 | 23 | 9 | 19 |
| 13 | DVS 33 Ermelo | 9 | 1 | 3 | 5 | 12 | 17 | 6 |
A question about Excelsior '31 vs DVS 33 Ermelo?
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