Experimental v1.0

FL senate 2026

Election date 2026-11-03. Forecast leans D at 56.2%.

P(Democratic win)
56.2% (+/- 9.8 pp, Low confidence)
P(Republican win)
43.8%
Model version
lr-2026-06-10-chal-recal-twospeed
2024 test Brier
0.1191 (backtest, not live; see /calibration)
As-of
2026-06-23

structure and mood disagree Treat with caution.

The structural anchor (state lean plus incumbency, behavior zeroed) leans R 64.1%, but a large behavioral signal (+14.0 pp toward D) carries the forecast the other way to D 56.2%, a 20.4 pp divergence. When the mood signal runs against a decisive structural and incumbency lean, the residual risk sits with the side the structure favors.

partial fundraising data The candidate-fundraising input for this race is mid-cycle receipts through 2026-06-11 (the latest FEC filings, pre-primary). It refreshes on the quarterly FEC filing calendar and the share can shift as new candidates file.

pre-primary The candidates shown are the leading qualified contenders. This state's primary on 2026-08-18 has not been decided yet, so the nominees are provisional and update to the winners once results are in.

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 64.1% / D 35.9% (behavior zeroed)
Behavioral delta
+14.0 pp toward D
Thermostat adjustment
+6.4 pp toward D (national midterm swing)
Final
R 43.8% / D 56.2%
Structural tension
20.4 pp divergence between anchor and final
Confidence category
volatile
Anomaly flags
multi-low-conf-dim missing-dim
Confidence band
+/- 14.4 pp (widened: high tension)

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
Risktoward D+0.4271.321
DomesticStabilitytoward R-0.401-1.254
CivicTrusttoward D+0.2130.606

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/senate-2026-FL.

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