Getafe vs Ajax: result 2-0 and analysis
UEFA Europa League16th FinalsKick-off on February 20, 2020 at 05:55 PM (UTC)Estadio Coliseum, Getafe
Full time
What was the result of Getafe vs Ajax?
Getafe won 2-0 on February 20, 2020.
Goalscorers
- 37′DeyversonGetafe
- 90′KenedyGetafe
Official lineup for Getafe vs Ajax
The starting elevens fielded at kick-off.
Getafe
4-4-2- 7Jaime Mata
- 14Deyverson
- 15Marc Cucurella
- 20N. Maksimović
- 18M. Arambarri
- 12A. Nyom
- 17M. Olivera
- 16Xabier Etxeita
- 2D. Dakonam
- 22D. Suárez
- 13David Soria
Ajax
4-2-3-1- 23L. Traoré
- 49R. Babel
- 22H. Ziyech
- 10D. Tadić
- 21Lisandro Martínez
- 6D. van de Beek
- 31N. Tagliafico
- 17D. Blind
- 4E. Álvarez
- 28S. Dest
- 1Bruno Varela
What is the recent form of both teams?
Over their last 15 matches in all competitions, Getafe have 10 wins, 1 draw and 4 defeats; Ajax have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2020 | Barcelona(away) | 1-2 | La Liga |
| Feb 8, 2020 | Valencia(home) | 3-0 | La Liga |
| Feb 2, 2020 | Athletic Club(away) | 2-0 | La Liga |
| Jan 26, 2020 | Real Betis(home) | 1-0 | La Liga |
| Jan 17, 2020 | Leganes(away) | 3-0 | La Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2020 | Waalwijk(home) | 3-0 | Eredivisie |
| Feb 12, 2020 | Vitesse(away) | 3-0 | KNVB Beker |
| Feb 2, 2020 | PSV Eindhoven(home) | 1-0 | Eredivisie |
| Jan 26, 2020 | Groningen(away) | 1-2 | Eredivisie |
| Jan 22, 2020 | Spakenburg(home) | 7-0 | KNVB Beker |
How many goals should we expect?
Getafe score 1.6 and concede 0.7 goals per match over their last 15; Ajax score 2.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Getafe | 1.6 | 0.7 | 9 | 3/15 | 7/15 |
| Ajax | 2.6 | 0.9 | 6 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Getafe vs Ajax?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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
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