GVVV Veenendaal vs Achilles 29: result 4-1 and analysis
Tweede DivisieRegular Season - 7Kick-off on October 7, 2017 at 01:30 PM (UTC)Sportpark Panhuis (GVVV), Veenendaal
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What was the result of GVVV Veenendaal vs Achilles 29?
GVVV Veenendaal won 4-1 on October 7, 2017.
Goalscorers
- 21′B. van de BeekAchilles 29
- 43′M. van EckGVVV Veenendaal
- 49′Robin MulderGVVV Veenendaal
- 70′Robin MulderGVVV Veenendaal (pen.)
- 89′M. van EckGVVV Veenendaal
What is the recent form of both teams?
Over their last 9 matches in all competitions, GVVV Veenendaal have 6 wins, 0 draws and 3 defeats; Achilles 29 have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Excelsior Maassluis(home) | 1-0 | Tweede Divisie |
| Sep 23, 2017 | TEC(away) | 2-1 | Tweede Divisie |
| Sep 19, 2017 | Dordrecht(home) | 1-0 | KNVB Beker |
| Sep 16, 2017 | ASV De Dijk(home) | 3-0 | Tweede Divisie |
| Sep 9, 2017 | Katwijk(away) | 0-2 | Tweede Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2017 | Katwijk(home) | 1-4 | Tweede Divisie |
| Sep 23, 2017 | ASV De Dijk(away) | 1-6 | Tweede Divisie |
| Sep 20, 2017 | NAC Breda(home) | 4-3 | KNVB Beker |
| Sep 16, 2017 | Excelsior Maassluis(home) | 3-0 | Tweede Divisie |
| Sep 9, 2017 | Sparta Rotterdam II(away) | 2-2 | Tweede Divisie |
How many goals should we expect?
GVVV Veenendaal score 2.0 and concede 1.2 goals per match over their last 9; Achilles 29 score 1.9 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GVVV Veenendaal | 2.0 | 1.2 | 4 | 3/9 | 5/9 |
| Achilles 29 | 1.9 | 2.4 | 2 | 11/15 | 14/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | GVVV Veenendaal | 2 | 0 | 0 | 2 | 3 | 8 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy