Colorado 8th District
Candidates
| Candidate | Party | Poll avg | Latest poll | Raised | Cash | Outside for / against |
|---|---|---|---|---|---|---|
| Gabe Evans incumbent | R | — | 48% | $7.2M | $1.3M | $1.4M / $5.6M |
| Manny Rutinel | D | — | 46.3% | $9.5M | $1.0M | $7.5M / $9.7M |
Polls 1 in the window
| Field dates | Pollster | Sample | Result | D − R |
|---|---|---|---|---|
| Sep 17 from Sep 16 | McLaughlin & Associates for Enhancing American Competitiveness R-sponsored | 400 LV | Gabe Evans R 48 · Manny Rutinel D 46.3 | -1.7 |
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.
| Platform | Advertiser | Tied to | Spend | Window |
|---|---|---|---|---|
| MANNY RUTINEL FOR CONGRESS | Manny Rutinel D | $291k | last 4 weeks | |
| Snap | MANNY RUTINEL FOR CONGRESS 1 ads | Manny Rutinel D | $9k | 2026 to date |
Meta in Colorado: $1.9M Oct 25, 2026 - Oct 31, 2026 · Google in Colorado: $62.0M lifetime · Snap targeted at Colorado: $104k 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.