Vojvodina vs Ajax: result 1-4 and analysis
UEFA Europa Conference League2nd Qualifying RoundKick-off on July 23, 2026 at 06:00 PM (UTC)Stadion Karađorđe, Novi Sad
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What was the result of Vojvodina vs Ajax?
Ajax won 1-4 on July 23, 2026.
Goalscorers
- 3′D. KlaassenAjax
- 28′P. SukacevVojvodina
- 37′S. BerghuisAjax
- 52′O. GloukhAjax
- 90′Mohamed AbdallaAjax
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vojvodina have 8 wins, 4 draws and 3 defeats; Ajax have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 19, 2026 | OFK Beograd(home) | 4-0 | Super Liga |
| Jul 16, 2026 | Ferencvarosi TC(away) | 0-3 | UEFA Europa League |
| Jul 9, 2026 | Ferencvarosi TC(home) | 1-2 | UEFA Europa League |
| Jul 2, 2026 | Universitatea Cluj(away) | 3-0 | Friendlies Clubs |
| May 23, 2026 | Novi Pazar(home) | 3-0 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 18, 2026 | Olympiakos Piraeus(home) | 1-0 | Friendlies Clubs |
| Jul 15, 2026 | VfL Bochum(home) | 1-1 | Friendlies Clubs |
| May 24, 2026 | Utrecht(home) | 0-0 | Eredivisie |
| May 21, 2026 | Groningen(home) | 2-0 | Eredivisie |
| May 17, 2026 | Heerenveen(away) | 0-0 | Eredivisie |
What does the head-to-head say?
Across the last 2 meetings: 0 Vojvodina win(s), 0 draw(s), 2 Ajax win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2024 | Vojvodina 1-3 Ajax | UEFA Europa League |
| Jul 25, 2024 | Ajax 1-0 Vojvodina | UEFA Europa League |
How many goals should we expect?
Vojvodina score 1.7 and concede 1.1 goals per match over their last 15; Ajax score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vojvodina | 1.7 | 1.1 | 7 | 7/15 | 11/15 |
| Ajax | 1.4 | 0.9 | 7 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
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