CNN Launches Sightline Tool to Break Down Election Night Data
The new platform uses five distinct models to provide real-time insights on the 25 major Senate and governor races during the 2026 election cycle.
By Rafael Collins ·
CNN has introduced Sightline, a new digital tool designed to interpret real-time election results. The platform translates raw vote counts into an immediate assessment of race outcomes. It focuses on providing a clear read on which candidates hold the advantage as data arrives.
Sightline operates by analyzing data through specific modeling and assessments. It answers core questions posed by CNN’s Decision Desk analysts. These questions include where votes originated and how they compare to pre-election expectations. The tool also measures statistical confidence in estimates. It distinguishes between Election Day, mail, and early in-person ballots while tracking what remains to be counted.
The system aggregates estimates from five key areas to produce an overall rating. This rating indicates whether a race leans toward one candidate or the other. The tool is live for approximately 25 major races involving Senate seats and governorships. These contests will determine which party controls the Senate and which party leads critical states.
The first component is the outstanding vote model. It calculates how much of the uncounted vote a trailing candidate needs to win. This assessment begins once 25% of a state’s expected vote is reported. It evaluates whether a comeback is possible based on current performance and the location of remaining ballots.
The second area is geography. This indicator checks if reported votes are evenly distributed across the state by region and partisan lean. It starts calculating once 10% of the expected vote is in. It assesses whether rebalancing uneven distributions would shift final results.
The third component compares current results to past data. It begins with pre-election ratings and polling. As results from other states arrive, it incorporates national environment signals. State-specific estimators start contributing once 10% of a state’s vote is reported. The model shifts its focus to direct comparisons with 2024 performance for counties that have reported a meaningful share of their totals.
The fourth area measures the size of the lead. It evaluates the durability of a candidate’s advantage across multiple models. This indicator activates when 10% of the expected vote is reported. It factors in how much confidence exists that the lead will hold as more votes are counted.
The final component analyzes vote methods. In states where all counties report specific voting types, the model estimates how well represented each method is. It begins when 10% of the vote is reported. It projects how results may change as underrepresented methods catch up. The relative weight of these five components changes throughout the night. Sightline provides these forecasts as distinct from formal CNN projections, reflecting the evolving knowledge of the Decision Desk experts.
