Jong PSV U21 vs Achilles 29: result 4-0 and analysis
Eerste DivisieRegular Season - 17Kick-off on December 2, 2016 at 07:00 PM (UTC)PSV Campus De Herdgang, Eindhoven
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What was the result of Jong PSV U21 vs Achilles 29?
Jong PSV U21 won 4-0 on December 2, 2016.
Goalscorers
- 44′L. da SilvaJong PSV U21
- 46′L. da SilvaJong PSV U21
- 52′P. RosarioJong PSV U21
- 63′S. LammersJong PSV U21 (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jong PSV U21 have 7 wins, 4 draws and 4 defeats; Achilles 29 have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2016 | FC OSS(home) | 2-4 | Eerste Divisie |
| Nov 25, 2016 | FC Volendam(away) | 0-1 | Eerste Divisie |
| Nov 21, 2016 | De Graafschap(home) | 1-0 | Eerste Divisie |
| Nov 4, 2016 | Helmond Sport(away) | 0-1 | Eerste Divisie |
| Oct 28, 2016 | Telstar(away) | 0-0 | Eerste Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2016 | Den Bosch(away) | 1-2 | Eerste Divisie |
| Nov 25, 2016 | Emmen(home) | 0-4 | Eerste Divisie |
| Nov 18, 2016 | FC OSS(home) | 1-2 | Eerste Divisie |
| Nov 4, 2016 | Almere City FC(away) | 0-1 | Eerste Divisie |
| Oct 28, 2016 | De Graafschap(home) | 0-0 | Eerste Divisie |
How many goals should we expect?
Jong PSV U21 score 1.4 and concede 0.9 goals per match over their last 15; Achilles 29 score 0.8 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jong PSV U21 | 1.4 | 0.9 | 5 | 7/15 | 5/15 |
| Achilles 29 | 0.8 | 2.4 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Jong PSV U21 | 2 | 1 | 0 | 1 | 4 | 5 | 3 |
| 11 | Jong PSV U21 | 2 | 1 | 0 | 1 | 4 | 5 | 3 |
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