New York City vs New York Red Bulls — MLS result and pre-match forecast, Saturday, 19 September 2026

MLS·Saturday, 19 September 2026

Metis pre-match forecast

Market-anchored distribution

Frozen as published · 63.1 h before kick-off. Never re-computed after the match.

New York City

55%

top pick

Draw

22%

New York Red Bulls

23%

result

Final score

0–1

Top pick missed

Metis gave a New York Red Bulls win 23.1% before kick-off, and its most likely result was a New York City win. Expected goals 1.86–1.14 against 0–1 actual.

Forecast against the result

Over 2.5 goals58%1 scored
Both teams score58%no
New York City clean sheet32%no
New York Red Bulls clean sheet15%yes
New York City score 2+56%no
New York Red Bulls score 2+32%no

How this forecast scored

Ranked probability score0.4464
1X2 Brier score0.9418
Probability on the result23.1%

Both scores are losses: lower is better, 0 is a forecast that put all of its probability on what happened. A single fixture says nothing on its own — the league's running record is on its league page, and the model is measured against the Pinnacle opening price in the methodology.

Most likely scores before kick-off: 1–1 (10.4%), 2–1 (10.3%), 2–0 (8.9%). It finished 0–1.

Want the model's read each week? Subscribe for free.

Recent form

New York City

23 FebAvs Los Angeles Galaxy1–1D
1 MarAvs Philadelphia Union2–1W
7 MarHvs Orlando City5–0W
14 MarHvs Colorado Rapids3–1W
22 MarHvs Inter Miami2–3L

New York Red Bulls

22 FebAvs Orlando City2–1W
28 FebHvs New England Revolution1–0W
8 MarHvs CF Montreal0–3L
14 MarAvs Toronto FC1–1D
21 MarAvs Charlotte1–6L

Head to head

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

Model context

StatNew York City
(Home · 17 matches)
New York Red Bulls
(Away · 17 matches)
BTTS rate70.6%70.6%
Over 2.5 rate58.8%64.7%
Clean sheet17.6%17.6%
Avg goals3.183.18

Home stats use New York City's home record; away stats use New York Red Bulls'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.