Experimental v1.0

SC governor 2026

Election date 2026-11-03. Forecast leans R at 60.8%.

P(Democratic win)
39.2% (+/- 10.3 pp, Low confidence)
P(Republican win)
60.8%
Model version
lr-2026-06-10-chal-recal-twospeed
2024 test Brier
0.1191 (backtest, not live; see /calibration)
As-of
2026-06-23

pre-primary This state's governor runoff on 2026-06-23 has not been decided yet, so any names shown are provisional.

The divergence, explained

Every race is a structural anchor, a behavioral signal, and a national thermostat. The anchor is the state lean, incumbency, and personal-vote alone; the behavioral block (the 10 mood dimensions) moves it from there; the thermostat is the deep-estimated midterm swing against the president's party.

Structural anchor
R 61.9% / D 38.1% (behavior zeroed)
Behavioral delta
-0.6 pp toward R
Thermostat adjustment
+6.2 pp toward D (national midterm swing)
Final
R 60.8% / D 39.2%
Structural tension
1.1 pp divergence between anchor and final
Confidence category
stable
Anomaly flags
multi-low-conf-dim missing-dim
Confidence band
+/- 14.3 pp (widened: open seat)

Why this number? interactive

The real model is a base rate, then structure, mood, and the midterm thermostat, then a calibration step. Toggle any factor to see the model's true response. This changes only this explorer, not the published forecast.

Open this race in the interactive explorer to move the model's levers and watch the win probability respond.

Top dimension drivers

DimensionDirectionContribution to log-oddsStandardized value
CivicTrusttoward R-0.348-0.986
incumbent_party_dtoward D+0.3330.500
DomesticStabilitytoward D+0.2850.892

Methodology

The forecast applies a logistic regression trained on prior cycle outcomes (state-lean + standardized dimension scores) to the state's current dim snapshot. See /methodology for the model spec and /calibration for the live calibration track record. This is the public summary; the authenticated deep dive lives at /app/race/governor-2026-SC.

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