FC Nordsjaelland vs Silkeborg Prediction, Tips & Odds
FC Nordsjaelland vs Silkeborg
Match Preview
The model favours FC Nordsjaelland to win against Silkeborg, projecting a scoreline of 2-1. FC Nordsjaelland currently sits in fourth place in the Superliga standings, having played two matches this season, securing one win and one draw. With a total of two goals scored and only one conceded, their positive goal difference of one highlights a solid defensive performance. Their recent form, with two wins, two draws, and just one loss in the last five matches, suggests they are in decent shape heading into this fixture. In contrast, Silkeborg is positioned tenth after two matches, with no wins to their name, one draw, and one loss. They have scored two goals but conceded four, resulting in a negative goal difference of two. Their recent form shows two wins, one draw, and two losses in the last five matches, indicating they have struggled to find consistency this season. This lack of form may hinder their ability to compete against a stronger team like Nordsjaelland. The model gives FC Nordsjaelland a win probability of approximately 60%, with the projected score of 2-1. A key market percentage to note is their odds of winning at around 55%. However, a potential caveat is that if Silkeborg can improve their defensive organization, they might pose a greater threat than their current form suggests. The full methodology of our predictions is detailed in the "How We Reached This Prediction" section, created by The Daily Punt Analysis Team, which uses an in-house model to evaluate expected goals and actual results across the season.
Head to Head
Last 10 Meetings (Silkeborg leads 5-4)In the last 10 matches between FC Nordsjaelland and Silkeborg, FC Nordsjaelland has won 4 times, Silkeborg has won 5 times, and there has been 1 draw. The scorelines indicate a competitive rivalry, with both teams achieving significant wins; Silkeborg's 4-2 and 4-1 victories showcase their ability to overpower Nordsjaelland, while Nordsjaelland's recent 5-0 win indicates they can also dominate. The matches have produced a mix of high-scoring and tightly contested games, with the draw occurring only once, suggesting that both teams are capable of taking decisive victories when they perform well.
Superliga Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Brondby | 3 | 2 | 1 | 0 | 4 | 1 | 3 | 7 | WWD |
| 2 |  FC Copenhagen | 2 | 2 | 0 | 0 | 6 | 3 | 3 | 6 | WW |
| 3 |  FC Midtjylland | 2 | 2 | 0 | 0 | 5 | 3 | 2 | 6 | WW |
| 4 |  Randers FC | 3 | 1 | 1 | 1 | 3 | 2 | 1 | 4 | WLD |
| 5 | FC Nordsjaelland | 2 | 1 | 1 | 0 | 2 | 1 | 1 | 4 | WD |
| 6 |  Viborg | 3 | 1 | 1 | 1 | 1 | 1 | 0 | 4 | DLW |
| 9 | Silkeborg | 2 | 0 | 1 | 1 | 2 | 4 | -2 | 1 | LD |
| 10 |  Sonderjyske | 3 | 0 | 1 | 2 | 2 | 4 | -2 | 1 | DLL |
| 11 |  Lyngby | 3 | 0 | 1 | 2 | 4 | 7 | -3 | 1 | LDL |
| 12 |  AC Horsens | 3 | 0 | 1 | 2 | 2 | 5 | -3 | 1 | LLD |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonFC Nordsjaelland have won 8 of their last 17 matches at home, drawing 5 and losing 4. Their recent home fixtures include beat FC Nordsjaelland 1-0 and beat FC Nordsjaelland 6-0.
Overall, the wider run reads 14W 10D 8L from the last 32 games (44% win rate). The form line is positive, with more wins than defeats across the sample.
Silkeborg have won 5 of their last 15 matches on the road, drawing 1 and losing 9. Their recent away fixtures include drew with Randers FC 1-1 and beat Aalborg 1-2.
Overall, the wider run reads 10W 3D 15L from the last 28 games (36% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 playersFC Nordsjaelland
No reported absences
Silkeborg
No reported absences
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
