# Data Scientist Model Predicts Democratic Senate Control Amid GOP Slide Virtualtout.io model shows Democrats at 90% probability to win Senate majority seats. - **Source:** [Fortune | FORTUNE](https://brifing.si/source/769282ef-327a-4454-909a-3c7936216004) - **Published:** 2026-11-02 - **Topic:** [Business](https://brifing.si/c/business) - **Original article:** - **On Brifing:** https://brifing.si/s/affc3408-abac-4812-9856-7e363a4fc44f ## Predictive Model Shift Thomas Miller’s Virtualtout.io model currently assigns Democrats a 90% probability of securing at least 51 Senate seats. This sharp shift occurred rapidly, as the GOP’s chances of maintaining control plummeted from 23% on October 26 to under 10%. The model’s output significantly diverges from traditional polling data and standard punditry expectations. ## Methodology and Data Sources The model calculates probabilities by translating high-volume prediction market prices from Kalshi and Polymarket into actionable data. Miller integrates 10 to 12 underlying factors into multiple time series, updating these figures every 10 minutes. This approach creates a real-time ticker that captures voter sentiment fluctuations far more rapidly than conventional polling methods. ## Nationalized Political Dynamics Miller identifies voter perception regarding the current administration as the primary driver across all races. Key issues like affordability, the economy, and international conflicts like the war in Iran are causing states to move in unison. By nationalizing these concerns, the model suggests that individual state contests are increasingly linked to broader sentiment. ## Impact of Campaign Rhetoric The model indicates that President Trump’s campaign appearances are not providing a net positive for Republican candidates. Miller observed a specific decline in GOP support following Trump’s praise of a controversial advertisement in Ohio. The data suggests that his rhetoric often reinforces existing voter views rather than swaying undecided segments of the electorate. ## Midwestern Stronghold Volatility The most significant indicator of the current shift is the movement in traditionally Republican strongholds. In Kansas, Senator Roger Marshall’s reelection probability dropped to 43.9%, suffering a 7.1% decline in just 24 hours. Similarly, Iowa has transitioned into a virtual toss-up, with Republican candidate Ashley Hinson’s lead narrowing to 51.6% recently. ## Competitive Race Analysis In Michigan, the probability of a Republican flip has faded from over one-third in mid-September to 24.5%. Across five key elections targeted by Democrats, the GOP now holds less than 30% probability in each. Maine remains the Republicans' best opportunity, where incumbent Susan Collins maintains a 34.7% chance of holding her seat. ## Historical Model Accuracy Thomas Miller, a professor at Northwestern University, previously gained recognition for accurately forecasting the 2021 Georgia Senate runoff results. He also correctly predicted the 2024 Trump win, establishing credibility for his methodology. By focusing on market-driven data, his model consistently identifies trends that traditional political analysts often overlook during volatile election cycles. ## Path to GOP Survival Republicans face a narrow path to retaining the Senate, requiring them to hold Kansas and Iowa while winning in Maine. They must also defy current probabilities in states like Texas to maintain their majority. As the model continues to update through Election Day, it remains a critical tool for tracking real-time electoral shifts. ## Sources covering this story - https://fortune.com/2026/11/02/midterm-election-odds-us-senate-republicans-democrats-kansas-roger-marshall-blue-wave/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._