Match

Ajax vs PAOK: result 1-1 and analysis

UEFA Champions League3rd Qualifying RoundKick-off on July 26, 2016 at 06:45 PM (UTC)Johan Cruijff Arena, Amsterdam

Ajax
1-1
PAOK

Full time

What was the result of Ajax vs PAOK?

Ajax and PAOK drew 1-1 on July 26, 2016.

Goalscorers

  • 27′DjalmaPAOK
  • 57′K. DolbergAjax

Official lineup for Ajax vs PAOK

The starting elevens fielded at kick-off.

Ajax

4-3-3
  1. 19M. Cassierra
  2. 7A. El Ghazi
  3. 25K. Dolberg
  1. 30D. van de Beek
  2. 10D. Klaassen
  3. 4J. Riedewald
  1. 35M. Dijks
  2. 2K. Tete
  3. 3J. Veltman
  4. 26N. Viergever
  1. 1J. Cillessen

PAOK

4-3-3
  1. 33S. Athanasiadis
  2. 10Djalma
  3. 8C. Charisis
  1. 24Garry Rodrigues
  2. 16G. Cimirot
  3. 28Y. Shakhov
  1. 3Leonardo de Matos Cruz
  2. 31G. Tzavellas
  3. 4M. Leovac
  4. 15José Crespo
  1. 71Panagiotis Glykos
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ajax have 10 wins, 5 draws and 0 defeats; PAOK have 7, 4 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Ajax
DateOpponentScoreCompetition
May 8, 2016De Graafschap(away)1-1Eredivisie
May 1, 2016Twente(home)4-0Eredivisie
Apr 20, 2016Heerenveen(away)2-0Eredivisie
Apr 17, 2016Utrecht(home)2-2Eredivisie
Apr 9, 2016Cambuur(away)1-0Eredivisie
PAOK
DateOpponentScoreCompetition
May 31, 2016Panathinaikos(home)1-1Super League 1
May 29, 2016AEK Athens FC(away)0-0Super League 1
May 26, 2016Panionios(home)2-0Super League 1
May 23, 2016Panionios(away)2-0Super League 1
May 15, 2016Panathinaikos(away)1-1Super League 1

How many goals should we expect?

Ajax score 2.3 and concede 0.7 goals per match over their last 15; PAOK score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ajax2.30.787/1510/15
PAOK1.30.985/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
32Ajax82068216

A question about Ajax vs PAOK?

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

Other matches in the same round

Next match: Ajax and PAOK

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