Feyenoord vs Fortuna Sittard — Eredivisie forecast, Saturday, 31 October 2026

Eredivisie·Saturday, 31 October 2026·15:30
Feyenoord

vs

15:30

1st vs 6th

Metis Forecast

Market-anchored distribution

Model updated

Feyenoord

84%

Draw

10%

Fortuna Sittard

6%

Expected goals

3.09–0.91

Feyenoord · Fortuna Sittard

Feyenoord win 84% of the current Metis Forecast. Most likely scores: 2–1 (9.5%), 2–0 (9.4%), 3–1 (9.2%).More forecast detail +

Both teams score in 58% of simulations.

Those three cover 28% of outcomes; the other 72% is spread across every remaining scoreline.

Feyenoord score at least twice in 84%; Fortuna Sittard in 23%.

Scoreline distribution

Match outcomes

Both teams score58%
Over 1.5 goals91%
Over 2.5 goals77%
Over 3.5 goals56%
Over 4.5 goals37%
Team scoring & clean sheets
Feyenoord clean sheet40%
Fortuna Sittard clean sheet3%
Feyenoord score 2+84%
Fortuna Sittard score 2+23%
Feyenoord score 3+61%
Fortuna Sittard score 3+6%

Model vs market

SourceHomeDrawAway
Raw Metis model77%15%8%
Market reference84%10%6%
Metis Forecast84%10%6%

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

2–19.5%
2–09.4%
3–19.2%
3–09.1%
4–16.6%
4–06.6%

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Feyenoord

9 AugAvs Sparta Rotterdam1–0W
16 AugHvs Go Ahead Eagles2–2D
23 AugAvs Cambuur5–2W
30 AugHvs Den Haag2–2D
5 SeptAvs NEC3–1W

Fortuna Sittard

8 AugAvs PSV2–2D
15 AugHvs Cambuur3–1W
22 AugHvs AZ0–2L
28 AugAvs Groningen3–2W
6 SeptAvs Den Haag3–2W

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatFeyenoord
(Home · 4 matches)
Fortuna Sittard
(Away · 5 matches)
BTTS rate50.0%80.0%
Over 2.5 rate75.0%80.0%
Clean sheet50.0%20.0%
Avg goals3.753.80

Home stats use Feyenoord's home record; away stats use Fortuna Sittard'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.