{"id":538071,"date":"2026-06-26T16:45:26","date_gmt":"2026-06-26T16:45:26","guid":{"rendered":"https:\/\/www.newjerseyheadlines.com\/news\/story\/538071\/campaignstrategylive-predictive-model-calls-oklahoma-governors-top-two-finishers-within-03-percentage-points.html"},"modified":"2026-06-26T16:45:26","modified_gmt":"2026-06-26T16:45:26","slug":"campaignstrategylive-predictive-model-calls-oklahoma-governors-top-two-finishers-within-03-percentage-points","status":"publish","type":"post","link":"http:\/\/www.northcarolinaheadlines.com\/news\/story\/538071\/campaignstrategylive-predictive-model-calls-oklahoma-governors-top-two-finishers-within-03-percentage-points.html","title":{"rendered":"CampaignStrategy.live Predictive Model Calls Oklahoma Governor\u2019s Top Two Finishers Within 0.3 Percentage Points"},"content":{"rendered":"
Behavioral intelligence platform correctly projects Drummond-Mazzei runoff while every major public poll showed a four-way statistical tie<\/div>\n

SCOTTSDALE, AZ – June 26, 2026 –<\/strong> CampaignStrategy.live<\/a>, a behavioral data and digital media platform, today announced that its proprietary predictive model projected every candidate in the June 16 Oklahoma Republican Governor’s Primary within 1.3 percentage points of the actual result — and called the top two finishers, Gentner Drummond and Mike Mazzei, within 0.3 points each. Every major public poll heading into election day showed a four-way statistical tie with no clear frontrunner.<\/p>\n

The Oklahoma State Election Board confirms Drummond at 26.26% and Mazzei at 25.97%, with all 1,984 precincts reporting. CSL’s model projected the final margin at 931 votes. The actual certified margin was 1,158 votes — a difference of 227 votes across an electorate of more than 400,000.<\/p>\n

“Traditional polling captures a snapshot of voter sentiment at a single point in time,” said Rick Walker, Founder and Chief Strategist of CampaignStrategy.live. “Our model integrates a much broader set of variables — local economic conditions, regional news cycles, media consumption patterns, issue salience by geography, and the velocity of political signals moving through specific communities — and we update continuously. That gives us a picture of the race that is both more precise and more current than any survey methodology can produce.”<\/p>\n

A Multi-Variable Approach to Predictive Modeling<\/strong><\/p>\n

Where traditional polling relies on self-reported voter preference, CSL’s platform synthesizes independent data inputs including:<\/p>\n