Eemdijk vs Roosendaal: result 2-1 and analysis
KNVB Beker2nd Preliminary RoundKick-off on September 22, 2026 at 06:00 PM (UTC)Sportpark De Vinken, Bunschoten
Full time
What was the result of Eemdijk vs Roosendaal?
Eemdijk won 2-1 on September 22, 2026.
Goalscorers
- 17′A. SelimiEemdijk
- 53′Zico SoreeEemdijk
- 81′?Roosendaal
What had the model predicted before the match?
Before kick-off, the Footlab AI model gave a Roosendaal win at 46%: prediction missed. Most likely score announced: 1-1. Actual score: 2-1.
Computed by the Footlab AI model from our own data only, with no AI analysis.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Eemdijk have 5 wins, 1 draw and 9 defeats; Roosendaal have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2026 | Sparta Nijkerk(home) | 0-4 | Derde Divisie |
| Sep 12, 2026 | ACV(away) | 1-5 | Derde Divisie |
| Sep 5, 2026 | Harkemase Boys(home) | 1-2 | Derde Divisie |
| Sep 1, 2026 | Elinkwijk(away) | 3-0 | KNVB Beker |
| Aug 29, 2026 | SC Genemuiden(away) | 1-3 | Derde Divisie |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2026 | Excelsior Maassluis(away) | 0-5 | Derde Divisie |
| Sep 12, 2026 | Blauw Geel(home) | 1-3 | Derde Divisie |
| Sep 5, 2026 | Achilles Veen(home) | 3-0 | Derde Divisie |
| Sep 2, 2026 | GSV 28(away) | 4-0 | KNVB Beker |
| Aug 29, 2026 | Noordwijk(away) | 0-1 | Derde Divisie |
How many goals should we expect?
Eemdijk score 1.4 and concede 2.2 goals per match over their last 15; Roosendaal score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eemdijk | 1.4 | 2.2 | 1 | 11/15 | 13/15 |
| Roosendaal | 1.8 | 1.7 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Eemdijk vs Roosendaal?
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