Silkeborg vs FC Nordsjaelland — Danish Superliga forecast, Sunday, 25 October 2026

Danish Superliga·Sunday, 25 October 2026·13:00
Silkeborg

vs

13:00

8th vs 4th

Metis Forecast

Market-anchored distribution

Model updated

Silkeborg

21%

Draw

21%

FC Nordsjaelland

58%

Expected goals

1.09–1.87

Silkeborg · FC Nordsjaelland

FC Nordsjaelland win 58% of the current Metis Forecast. Most likely scores: 1–2 (11.2%), 1–1 (10.1%), 0–1 (10.0%).More forecast detail +

Both teams score in 57% of simulations.

Those three cover 31% of outcomes; the other 69% is spread across every remaining scoreline.

Silkeborg score at least twice in 30%; FC Nordsjaelland in 57%.

Scoreline distribution

Match outcomes

Both teams score57%
Over 1.5 goals80%
Over 2.5 goals57%
Over 3.5 goals34%
Over 4.5 goals18%
Team scoring & clean sheets
Silkeborg clean sheet15%
FC Nordsjaelland clean sheet34%
Silkeborg score 2+30%
FC Nordsjaelland score 2+57%
Silkeborg score 3+10%
FC Nordsjaelland score 3+29%

Model vs market

SourceHomeDrawAway
Raw Metis model25%25%50%
Market reference21%21%58%
Metis Forecast21%21%58%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

1–211.2%
1–110.1%
0–110.0%
0–29.6%
1–36.5%
0–35.5%

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Silkeborg

27 JulAvs Randers1–1D
2 AugHvs FC Copenhagen1–3L
10 AugHvs Odense1–0W
16 AugAvs FC Nordsjaelland0–1L
24 AugAvs Brondby1–3L

FC Nordsjaelland

26 JulAvs Horsens1–1D
2 AugHvs Randers1–0W
16 AugHvs Silkeborg1–0W
23 AugAvs Sonderjyske3–0W
30 AugHvs Brondby3–1W

Head to head

16 Aug 26NordsjaellandvsSilkeborg1 – 0

Silkeborg: 0W 0D 1L in last 1

Model context

StatSilkeborg
(Home · 5 matches)
FC Nordsjaelland
(Away · 6 matches)
BTTS rate80.0%66.7%
Over 2.5 rate40.0%66.7%
Clean sheet20.0%16.7%
Avg goals3.003.67

Home stats use Silkeborg's home record; away stats use FC Nordsjaelland's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.