cribber
Menu

Checking sign-in status…

Top Real Estate Agents in Clayton, Denver, CO

November 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Clayton at a glance

80 agents & teams · 88 homes

Based on Cribber’s trailing-12-month listing-activity data, Evan Rice ranks first in Clayton, Denver, CO with 3 credited listings.

Leading agents by observed listing activity, Nov 10, 2025 – Nov 10, 2026.

Most listings

  1. 1Evan Rice3 listings
  2. T-2Donavon Paschall2 listings
  3. T-2Donna Bird2 listings
  4. T-2Ashley Bock2 listings
  5. T-2Chiara Subhas2 listings
  6. T-2Deborah Riley2 listings

Highest asking volume

  1. 1Donavon Paschall$2.2M
  2. 2Richard B. Kelley$1.6M
  3. 3Donna Bird$1.4M

A home’s history does not end when it leaves the market. Cribber keeps qualifying past listings in the comparison, helping you see an agent’s broader listing record over time. How rankings work

Agent leaderboard

80 agents · Sorted by listings

Agents in Clayton. Select Listings or Asking volume to sort highest first. Observed listing share uses 88 unique homes.
RankAgent / teamObserved
listing share
1Evan RiceRe-Assurance Homes3$1.1M
T-2Donavon PaschallParkview Real Estate2$2.2M
T-2Donna BirdColdwell Banker Realty2$1.4M
T-2Ashley BockViaterra Company2$1.4M
T-2Chiara SubhasHomesmart Realty Group2$1.1M
T-2Deborah RileyBrokers Guild Real Estate2$560K
T-7Richard B. KelleyMb Provident Real Estate1$1.6M
T-7Ramon VargasLegacy Real Estate Partners1$1.2M
T-7Makenzie RobertsonLiv Sotheby's International Realty1$950K
T-7Nancy ArnettMilehimodern1$885K
T-7Kifle LeulsegedBrokers Guild Homes1$869.9K
T-7Carrie Craig8z Real Estate1$850K
T-7Jeff Ploushatch realty, llc1$824.9K
T-7Taylor A. WashamCOMPASS1$750K
T-7Briana LopezOrchard Brokerage LLC1$739K
T-7Whitney SweetKeller Williams Integrity Real Estate1$730K
T-7Julio PerezReal Broker, LLC DBA Real1$715K
T-7Cam SmithMilehimodern1$710K
T-7Heidi CoxMilehimodern1$699.9K
T-7Katarina MillerThe Agency Denver1$699.9K

Showing 1–20 of 80 agents

Understanding these numbers ↓

Ranks are calculated across all 80 agents. Tied agents share a rank, including across pages.

Reading the rankings

Listings
Distinct qualifying homes credited to an agent or team during the reporting window. Current and past listings contribute under the same rules; co-listing agents each receive credit.
Asking volume
The combined selected observed asking prices of credited homes. A volume rank requires a usable asking price for every qualifying home.
Observed listing share
Credited homes ÷ 88 unique homes in this leaderboard. Co-listing credits overlap, so shares can total more than 100%. The denominator is this edition’s qualifying homes.

About the data

November 2026 edition

Reporting window
–
Coverage
80 agents & teams · 88 unique homes
Published
Data cutoff

Updated monthly. This edition preserves its published figures; daily ingestion does not change these rankings.

Methodology & supporting evidence

What counts as a listing?

Ranked by distinct homes credited over the trailing 12 months, including both endpoint UTC dates. Qualifying current and past sale listings contribute when their selected listing episode overlaps the reporting window. Recorded sales identify sold homes within that listing record; other off-market homes remain inactive.

How are agents credited?

A canonical, unit-aware property identity keeps repeat observations of the same home from becoming extra credits. The agents-listings-v7 reader selects the latest qualifying episode before geographic filters. Explicit distinct co-listing agents each receive full credit. Named teams can receive documented credit; team or brokerage membership alone does not create it. Ambiguous attribution is withheld.

How are areas defined?

Municipalities use official Census boundaries and coordinate assignments. Neighborhoods use retained high-confidence polygon assignments. A home may appear in its city and neighborhood comparisons, once within each geography.

How do ties and share work?

The authoritative reader orders Homes Listed by credited homes, with asking volume and stable agent identity resolving display order. Equal listing counts share a competition rank, including across pages. Observed listing share is credited homes divided by unique eligible homes in the edition; co-listing credits can overlap.

How are asking prices measured?

Asking Volume adds the latest usable observed asking price associated with each selected episode. A volume rank requires 100% usable price coverage. These are asking prices rather than recorded sale proceeds. Homes with missing prices still count toward Homes Listed. Typical Asking Price describes the stored median and priced-home sample; historical price-based standings retain their original five-home and 90% coverage eligibility policy.

When is the leaderboard updated?

Each geography freezes the first successful verified capture for its UTC monthly edition. Read the actual reporting window, cutoff and publication date on the page. Daily ingestion prepares evidence separately. Published historical figures are preserved; a correction creates a new revision.

How can I verify this comparison?

Each comparison covers the geography, reporting window and qualifying records stated in the edition. Supporting listings show the evidence behind the figures. Payment never changes eligibility, counts or rank.

Calculation: agents-listings-v7. Publication: 2152. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Clayton, Denver, CO. November 2026 edition. Listings and asking volume, Nov 10, 2025–Nov 10, 2026. Published Nov 10, 2026.

Permanent edition link ↗

Leaderboard downloads

The same dated edition, ready to read or analyze.

Markdown is readable text. JSON includes ranking data, dates, definitions, and evidence links.

Leaderboard editions

Explore the published monthly record.

Explore nearby leaderboards

Compare agents across cities and neighborhoods.

Explore Clayton →

Welcome back.

Sign in to your Cribber account.

New to Cribber?

By continuing, you agree to our Terms of Service and acknowledge our Privacy Policy.