Jong Ajax vs Achilles 29: result 7-1 and analysis
Eerste DivisieRegular Season - 6Kick-off on September 12, 2016 at 06:00 PM (UTC)Amsterdam ArenA, Amsterdam
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What was the result of Jong Ajax vs Achilles 29?
Jong Ajax won 7-1 on September 12, 2016.
Goalscorers
- 30′B. BeijerAchilles 29
- 38′D. van de BeekJong Ajax
- 41′M. CassierraJong Ajax
- 45′M. CassierraJong Ajax
- 55′M. CassierraJong Ajax
- 58′V. ČernýJong Ajax
- 68′M. CassierraJong Ajax
- 77′A. NouriJong Ajax (pen.)
What is the recent form of both teams?
Over their last 5 matches in all competitions, Jong Ajax have 3 wins, 1 draws and 1 defeats; Achilles 29 have 1, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Waalwijk(away) | 2-3 | Eerste Divisie |
| Aug 22, 2016 | Fortuna Sittard(home) | 2-1 | Eerste Divisie |
| Aug 19, 2016 | Den Bosch(home) | 5-2 | Eerste Divisie |
| Aug 12, 2016 | Almere City FC(away) | 4-1 | Eerste Divisie |
| Aug 8, 2016 | Emmen(home) | 1-1 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | MVV(home) | 2-3 | Eerste Divisie |
| Aug 22, 2016 | FC Eindhoven(away) | 1-2 | Eerste Divisie |
| Aug 19, 2016 | Helmond Sport(away) | 2-1 | Eerste Divisie |
| Aug 12, 2016 | NAC Breda(home) | 1-2 | Eerste Divisie |
| Aug 5, 2016 | Fortuna Sittard(away) | 1-2 | Eerste Divisie |
How many goals should we expect?
Jong Ajax score 2.8 and concede 1.6 goals per match over their last 5; Achilles 29 score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jong Ajax | 2.8 | 1.6 | 0 | 5/5 | 4/5 |
| Achilles 29 | 1.4 | 2.0 | 0 | 5/5 | 5/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 20 | Jong Ajax | 3 | 0 | 0 | 3 | 7 | 11 | 0 |
| 20 | Jong Ajax | 3 | 0 | 0 | 3 | 7 | 11 | 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