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H6MI10284

GREIMEL, TIM Open seat

 ·  MI-10 (House)
2.5
Influence Score · 2026
Lightly backed
Non-incumbent — only contributions, independent expenditures, and dark-money exposure are scored. Lobbying, vote alignment, bundle timing, and trade direction require committee assignments and roll-call records, neither of which exist for a non-sitting candidate. Maximum reachable score is about 23, on a challenger-only scale — incumbents are scored 0–100 across all twelve axes, so the two are not directly comparable. See methodology.

Score components

AxisRawNormalized (pts)Coverage
Direct contributions $669K 2.54 2026 cycle, principal committee
Outside spending — direct support $0 PACs that directly supported this candidate
Outside spending — indirect (OPPOSE against opponents) $0 OPPOSE spending against opponents in the same race, attributed proportionally
Outside spending — OPPOSE against this candidate $0 PACs that spent to defeat this candidate (not scored on this axis)
Total outside spending in favor $0 0.00 direct + indirect — drives the outside-spending axis
Lobbying exposure Requires committee assignment
Vote alignment Requires voting record
Contribution timing — money arriving near key votes Requires recorded-vote calendar
Dark-money exposure 0.0000 0.00 Disclosed-vs-dark outside spending share
Personal trade direction Requires STOCK Act filings

Race matchup  MI-10

Candidate Party Status Direct $ Outside $ Score Tier
JAMES, JOHN REP Inc. $836K $3.74M 49.3 Moderately exposed
BOUCHARD, MICHAEL REP Open $1.35M $0 5.1 Modestly backed
CHUNG, ERIC DEM Open $1.32M $0 5.0 Modestly backed
LULGJURAJ, ROBERT REP Open $1.17M $0 4.4 Modestly backed
GREIMEL, TIM DEM Open $669K $0 2.5 Lightly backed
HINES, CHRISTINA DEM Open $619K $0 2.4 Lightly backed

Challenger and open-seat scores reflect contributions, outside spending, and dark-money exposure only — a maximum of about 23. They are not directly comparable to incumbent scores, which run 0–100 across all twelve axes. Compare the dollar columns (Direct $, Outside $) for a like-for-like view.