Sean McCann
Major-party general-election nominee.
Sean McCann vs. Bill Huizenga. Today's article: every forecast for this race →
Margin from the district's presidential lean on its 2026 lines, one fitted intercept and the national environment as a uniform swing; the win probability adds a decaying incumbency premium (Republican incumbent running). The 3 district polls are blended in by inverse variance, about 54% of the weight: the model alone said R+0.8.
Major-party general-election nominee.
Incumbent representative for MI-4. Voting record, ideology and biography →
Each pollster name links to the poll's source; the grade under it is its VotePredictor grade from past elections. Margin is the poll as published. The ± under the sample size is the 95% margin of error on each candidate's share, from the sample size (the gap between them is about twice as uncertain).
These polls move the forecast: their average is blended into the model's own margin by inverse variance, with about 54% of the weight on the polls (a single poll gets about half; more polls, more weight). The rule was preregistered and validated on 321 polled districts from 2018–2024. See methodology.
What each candidate's own campaign committees reported for the 2025–26 cycle; outside spending by PACs and parties is not included. Industries are classified from donors' reported employers. The House forecast's win probability reads the two nominees' shares of individual contributions shown here, a small term that never moves the predicted margin. Data: GovMoneyGraph, based on FEC records.
We have not yet ingested a district rating from these independent forecasters for MI-4; links go to their current national House ratings. Missing is shown as missing—not converted into a probability.

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Candidate field source: 2026 House election roster ↗