Ajax Amateurs vs Vvsb: result 2-2 and analysis
Derde DivisieZaterdag - 7Kick-off on October 5, 2019 at 12:30 PM (UTC)Sportpark De Toekomst, Amsterdam-Duivendrecht
Full time
What was the result of Ajax Amateurs vs Vvsb?
Ajax Amateurs and Vvsb drew 2-2 on October 5, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Ajax Amateurs have 5 wins, 1 draw and 5 defeats; Vvsb have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Harkemase Boys(away) | 0-0 | Derde Divisie |
| Sep 24, 2019 | VVOG(away) | 2-0 | KNVB Beker |
| Sep 21, 2019 | Barendrecht(home) | 0-1 | Derde Divisie |
| Sep 14, 2019 | GOES(away) | 1-0 | Derde Divisie |
| Sep 7, 2019 | Hoek(away) | 1-6 | Derde Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Hoek(home) | 3-2 | Derde Divisie |
| Sep 21, 2019 | FC Lisse(away) | 4-2 | Derde Divisie |
| Sep 7, 2019 | Excelsior '31(away) | 2-0 | Derde Divisie |
| Aug 31, 2019 | Dovo(home) | 2-2 | Derde Divisie |
| Aug 24, 2019 | Ter Leede(away) | 0-2 | Derde Divisie |
How many goals should we expect?
Ajax Amateurs score 1.1 and concede 2.1 goals per match over their last 11; Vvsb score 2.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajax Amateurs | 1.1 | 2.1 | 3 | 5/11 | 7/11 |
| Vvsb | 2.0 | 1.6 | 4 | 9/15 | 9/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Vvsb | 9 | 2 | 1 | 6 | 10 | 18 | 7 |
A question about Ajax Amateurs vs Vvsb?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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