AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
SC Genemuiden vs Dordrecht: result, form and history
SC Genemuiden beat Dordrecht 3-2 in the KNVB Beker on 28 Oct 2026. The two went into the match with similar recent form.
Match Forecasts
Corner forecasts not available for this match
Card forecasts not available for this match
Match Events
Lineups
1H. Streutker
C5A. van de Wetering
20H. Pleijsier
15G. Kolk
6B. Jan Brouwer
7M. van Rooijen
25N. Buitink
10T. de Lange
17J. Tuinman
9S. Egbers
24B. Beimers
28T. Coremans
22J. van Aken
C4J. Pinas
15Y. M'Bemba
5B. Mpanzu
18R. van Asten
6L. Riccio
29S. Gerardo Felicia
21M. Vetkal
10A. Ouarghi
59J. de BieSC Genemuiden Substitutes
Dordrecht Substitutes
Match Stats
Team Comparison
AI Insights
Game State Tendencies
- Comeback tendency: recovers from HT deficit 33% of the time
- Scores more in 2nd half (1.6 vs 0 in first half)
- Concedes more in 2nd half - can tire late
- Tied at half-time in 40% of matches
- Scores more in 2nd half (1 vs 0.4 in first half)
- Concedes more in 1st half - tightens up after the break
Recent Form
Bracket
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This match
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About the SC Genemuiden vs Dordrecht forecast
As a knockout tie in the KNVB Beker, there is more at stake than league points; the forecasts weigh that alongside team ratings, recent form and the head-to-head record.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
About KNVB Beker
More KNVB Beker fixtures and forecasts are on the KNVB Beker Predictions page.
Key Factors for This Match
SC Genemuiden and Dordrecht have little recent head-to-head history for the model to draw on. Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.


