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S6NH00208

SUNUNU, JOHN E Open seat

 ·  NH Senate (Senate)
9.7
Influence Score · 2026
Substantially 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 $2.30M 8.00 2026 cycle, principal committee
Outside spending — direct support $1.58M 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 $261K PACs that spent to defeat this candidate (not scored on this axis)
Total outside spending in favor $1.58M 1.69 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  NH Senate

Candidate Party Status Direct $ Outside $ Score Tier
SHAHEEN, JEANNE DEM Inc. $199K $83K 40.9 Moderately exposed
SUNUNU, JOHN E REP Open $2.30M $1.58M 9.7 Substantially backed
PAPPAS, CHRIS DEM Open $8.42M $69K 8.4 Substantially backed
BROWN, SCOTT P. REP Open $1.39M $65K 5.6 Modestly backed
INNIS, DAN REP Open $48K $65K 0.5 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.