2026 Election Hub
Public race and party context for the 2026 cycle, backed by OppIntell's canonical candidate universe.
This page is the Delaware candidate field for the 2026 cycle. Opposition research is the sourced public-record file on a candidate: voting history, public statements, campaign finance filings, financial disclosures, and court records, with a source on each claim. OppIntell opposition research software organizes those same records into profiles.
56 profiles · R 32 · D 23
24 profiles · R 13 · D 11
13 profiles · R 5 · D 7
15 profiles · R 9 · D 4
5 profiles · R 3 · D 1
2026 Cycle Context
This election guide adds source-aware context around the Delaware 2026 candidate universe so the page is more than a list of names and race cards.
The Delaware 2026 hub collects race categories and candidate samples into one cycle-specific page. That lets campaigns and researchers understand the election field before drilling into party hubs, state pages, race pages, and individual profiles.
The current public universe includes 62 Republican, 46 Democratic, and 5 third-party, independent, nonpartisan, or other profiles. This makes the page useful for comparison rather than a narrow single-party doorway.
Republican teams can use the guide to understand how competitors may turn public filings, office descriptions, and citation-backed candidate signals into research narratives. Democratic teams and researchers can use the same route to compare field composition and source-readiness.
OppIntell can scale these pages quickly because weak candidate pages remain governed until source and citation signals improve. That keeps the election guide useful without pretending every linked profile is equally mature.
It includes 113 tracked profiles across 5 race categories, with party breakdowns and links into adjacent research pages.
Campaigns can use it to see the candidate field, identify competitive research surfaces, and find where public-source profile enrichment is strongest or weakest.
No. This guide is built from OppIntell candidate aggregates and source-readiness signals. GSC data will later help prioritize improvements.