San Jose Earthquakes vs Portland Timbers — MLS result and pre-match forecast, Sunday, 27 September 2026

MLS·Sunday, 27 September 2026

Metis pre-match forecast

Market-anchored distribution

Frozen as published · 18.2 h before kick-off. Never re-computed after the match.

San Jose Earthquakes

49%

pick · result

Draw

24%

Portland Timbers

27%

Final score

3–1

Top pick landed

Metis gave a San Jose Earthquakes win 49.3% before kick-off, and its most likely result was a San Jose Earthquakes win. Expected goals 1.76–1.27 against 3–1 actual.

Forecast against the result

Over 2.5 goals59%4 scored
Both teams score60%yes
San Jose Earthquakes clean sheet28%no
Portland Timbers clean sheet17%no
San Jose Earthquakes score 2+53%yes
Portland Timbers score 2+36%no

How this forecast scored

Ranked probability score0.1649
1X2 Brier score0.3867
Probability on the result49.3%

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 (11.1%), 2–1 (10.0%), 1–0 (8.0%). It finished 3–1.

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San Jose Earthquakes

22 FebHvs Sporting Kansas City3–0W
1 MarHvs Atlanta Utd2–0W
8 MarAvs Philadelphia Union1–0W
15 MarHvs Seattle Sounders0–1L
22 MarAvs Vancouver Whitecaps1–0W

Portland Timbers

22 FebHvs Columbus Crew3–2W
28 FebAvs Colorado Rapids0–2L
8 MarHvs Vancouver Whitecaps1–4L
15 MarAvs Houston Dynamo2–3L
22 MarHvs Los Angeles Galaxy1–1D

Head to head

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

Model context

StatSan Jose Earthquakes
(Home · 17 matches)
Portland Timbers
(Away · 16 matches)
BTTS rate64.7%68.8%
Over 2.5 rate64.7%62.5%
Clean sheet23.5%0.0%
Avg goals3.293.50

Home stats use San Jose Earthquakes's home record; away stats use Portland Timbers'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.