House

Minnesota 2nd District

open seat · Election Day was November 3, 2026. The polls shown are the final pre-election field.

Pollsno polls
Money$2.3Mraised by listed candidates; Matt Little leads with $1.5M
Outside spending$1.0Mindependent expenditures for and against the listed candidates
Implied ratingNo pollsno polls

Candidates

CandidatePartyPoll avgLatest pollRaisedCashOutside for / against
Matt LittleD—52%$1.5M$205k$969k / $35k
Eric PrattR—40%$769k$173k$571 / $888

Polls 1 in the window

Field datesPollsterSampleResultD − R
Sep 13 from Sep 9Impact Research D-sponsored500 LVMatt Little D 52 · Eric Pratt R 40+12.0

Money

FEC candidate committee totals for the 2026 cycle, through October 14, 2026. Outside for / against is Schedule E independent spending by other committees to support or oppose the candidate. Each figure links to the candidate's FEC page.

Platform ad spend

Meta's Ad Library Report, Google's Ads Transparency Center and Snap's political-ads library. An advertiser is tied to a candidate only when its name carries the candidate's surname together with this state or the candidate's full name; outside groups that do not name a candidate appear in the state and district totals, not here.

No advertiser on either platform names a candidate in this race.

Meta in Minnesota: $1.6M Oct 25, 2026 - Oct 31, 2026 · Google in this district: $5.9M lifetime under the current map · Google in Minnesota: $52.1M lifetime · Snap targeted at Minnesota: $81k in 2026.

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Polls: PollResults.org (New York Times poll data), CC BY 4.0 (1,579 poll questions in the window). Money: FEC candidate totals and Schedule E independent-expenditure totals for the 2026 cycle. Platform ad spend: Meta Ad Library Report (U.S., 7-day preset, read from the report page), Google Ads Transparency Center CSV bundle and Snap political ads library, via Corvus Intel. Snapshot 2026-11-04 00:20 UTC, refreshed every six hours. No model wrote these figures, and no prediction-market price is used. Read how we work, or see the Politics desk for the analysis built on top of them. JSON.