Senate

Florida Senate (special)

Seat held by Republicans · incumbent Ashley Moody R running · Election Day was November 3, 2026. The polls shown are the final pre-election field.

PollsAshley Moody R +6.149.5% in the average of 8 pollsters since Sep 20
Money$25.8Mraised by listed candidates; Ashley Moody leads with $14.5M
Outside spending$1.3Mindependent expenditures for and against the listed candidates
Implied ratingLeanfrom the poll leader's margin over the runner-up

Candidates

CandidatePartyPoll avgLatest pollRaisedCashOutside for / against
Ashley Moody incumbentR49.5% (8)51%$14.5M$816k$1.3M / $72k
Angie NixonD43.4% (8)44%$11.3M$3.3M$12k / —

Unweighted mean of the latest general-election poll from each of 8 pollsters since 2026-09-20.

Tracking the poll average daily since November 3, 2026; a chart appears after three days.

Polls 31 in the window

Field datesPollsterSampleResultD − R
Nov 2 from Oct 31Research Co.450 LVAshley Moody R 51 · Angie Nixon D 44 · Neil Gillespie I 1-7.0
Oct 30 from Oct 26Stetson University Center for Public Opinion Research859 LVAshley Moody R 49 · Angie Nixon D 45-4.0
Oct 30 from Oct 26Big Data Poll for 1776 Law Center | Public Polling Project1,067 LVAshley Moody R 51.6 · Angie Nixon D 44.7 · Neil Gillespie I 3.8-6.9
Oct 30 from Oct 26Big Data Poll for 1776 Law Center | Public Polling Project1,122 RVAshley Moody R 50.9 · Angie Nixon D 44.5 · Neil Gillespie I 4.5-6.4
Oct 29 from Oct 26Targoz Market Research1,013 LVAshley Moody R 52 · Angie Nixon D 43-9.0
Oct 29 from Oct 28InsiderAdvantage1,200 LVAshley Moody R 48.5 · Angie Nixon D 42.7 · Neil Gillespie I 2.4-5.8
Oct 28 from Oct 26The Political Matrix/The Listener Group500 LVAshley Moody R 41.8 · Angie Nixon D 35.8-6.0
Oct 27 from Oct 25St. Pete Polls for Florida Politics916 LVAshley Moody R 49 · Angie Nixon D 44.7-4.3
Oct 27 from Oct 17ActiVote400 LVAshley Moody R 53 · Angie Nixon D 47-6.0
Oct 25 from Oct 19The New York Times/Siena University813 LVAshley Moody R 50.35 · Angie Nixon D 44.32-6.0
Oct 23 from Oct 16Echelon Insights for NetChoice515 LVAshley Moody R 51 · Angie Nixon D 43 · Neil Gillespie I 3-8.0
Oct 22 from Oct 18Workbench Strategy D-sponsored800 LVAshley Moody R 49 · Angie Nixon D 47-2.0
Oct 20 from Oct 18co/efficient1,014 LVAshley Moody R 48 · Angie Nixon D 40 · Neil Gillespie I 2-8.0
Oct 20 from Oct 18co/efficient1,014 LVGeneric Candidate O 4—
Oct 19 from Oct 12University of North Florida1,471 LVAshley Moody R 49 · Angie Nixon D 45-4.0

Money

FEC candidate committee totals for the 2026 cycle, through October 14, 2026. Outside for / against is Schedule E independent spending by other committees to support or oppose the candidate. Each figure links to the candidate's FEC page.

Platform ad spend

Meta's Ad Library Report, Google's Ads Transparency Center and Snap's political-ads library. An advertiser is tied to a candidate only when its name carries the candidate's surname together with this state or the candidate's full name; outside groups that do not name a candidate appear in the state and district totals, not here.

PlatformAdvertiserTied toSpendWindow
MetaAngie Nixon for Florida paid for by Angie For FloridaAngie Nixon D$189kOct 25, 2026 - Oct 31, 2026
MetaAshley Moody paid for by MOODY FOR FLORIDAAshley Moody R$113kOct 25, 2026 - Oct 31, 2026
GoogleMOODY FOR FLORIDAAshley Moody R$541klast 4 weeks

Meta in Florida: $4.8M Oct 25, 2026 - Oct 31, 2026 · Google in Florida: $164.0M lifetime · Snap targeted at Florida: $27k in 2026.

All senate races → · The races hub → · JSON

Polls: PollResults.org (New York Times poll data), CC BY 4.0 (1,579 poll questions in the window). Money: FEC candidate totals and Schedule E independent-expenditure totals for the 2026 cycle. Platform ad spend: Meta Ad Library Report (U.S., 7-day preset, read from the report page), Google Ads Transparency Center CSV bundle and Snap political ads library, via Corvus Intel. Snapshot 2026-11-04 00:20 UTC, refreshed every six hours. No model wrote these figures, and no prediction-market price is used. Read how we work, or see the Politics desk for the analysis built on top of them. JSON.