Juventus vs Ajax: result 1-2 and analysis
UEFA Champions LeagueQuarter-finalsKick-off on April 16, 2019 at 07:00 PM (UTC)Allianz Stadium, Torino
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What was the result of Juventus vs Ajax?
Ajax won 1-2 on April 16, 2019.
Goalscorers
- 28′Cristiano RonaldoJuventus
- 34′D. van de BeekAjax
- 67′M. de LigtAjax
What is the recent form of both teams?
Over their last 15 matches in all competitions, Juventus have 9 wins, 2 draws and 4 defeats; Ajax have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Spal(away) | 1-2 | Serie A |
| Apr 10, 2019 | Ajax(away) | 1-1 | UEFA Champions League |
| Apr 6, 2019 | AC Milan(home) | 2-1 | Serie A |
| Apr 2, 2019 | Cagliari(away) | 2-0 | Serie A |
| Mar 30, 2019 | Empoli(home) | 1-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Excelsior(home) | 6-2 | Eredivisie |
| Apr 10, 2019 | Juventus(home) | 1-1 | UEFA Champions League |
| Apr 6, 2019 | Willem II(away) | 4-1 | Eredivisie |
| Apr 3, 2019 | Emmen(away) | 5-2 | Eredivisie |
| Mar 31, 2019 | PSV Eindhoven(home) | 3-1 | Eredivisie |
What does the head-to-head say?
Across the last 1 meetings: 0 Juventus win(s), 1 draw(s), 0 Ajax win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 10, 2019 | Ajax 1-1 Juventus | UEFA Champions League |
How many goals should we expect?
Juventus score 1.7 and concede 1.1 goals per match over their last 15; Ajax score 3.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Juventus | 1.7 | 1.1 | 6 | 6/15 | 9/15 |
| Ajax | 3.3 | 0.9 | 4 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Juventus sit 13th in UEFA Champions League (13 points from 8 matches) and Ajax sit 32nd (6 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Juventus | 8 | 3 | 4 | 1 | 14 | 10 | 13 |
| 32 | Ajax | 8 | 2 | 0 | 6 | 8 | 21 | 6 |
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