Top Real Estate Agents in Closeburn-Glenkirk, Charlotte, NC

October 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Closeburn-Glenkirk at a glance

15 agents & teams · 15 homes

Based on Cribber’s trailing-12-month listing-activity data, Zachary Britt, Heather Montgomery, Andy Dameron, Verria Hairston, Isabelle Burbank, Chloe Faucher, Jarod Orrell, Michael Seaton, Sydney Platek, Bonnie Stroup, Jennifer Guice, Lilliah Moseley, Nicole Mcalister, Beth Preston, Joe Huneycutt share first place in Closeburn-Glenkirk, Charlotte, NC with 1 credited listings each.

Leading agents by observed listing activity, Oct 27, 2025 – Oct 27, 2026.

Most listings

  1. T-1Zachary Britt1 listings
  2. T-1Heather Montgomery1 listings
  3. T-1Andy Dameron1 listings
  4. T-1Verria Hairston1 listings
  5. T-1Isabelle Burbank1 listings
  6. T-1Chloe Faucher1 listings
  7. T-1Jarod Orrell1 listings
  8. T-1Michael Seaton1 listings
  9. T-1Sydney Platek1 listings
  10. T-1Bonnie Stroup1 listings
  11. T-1Jennifer Guice1 listings
  12. T-1Lilliah Moseley1 listings
  13. T-1Nicole Mcalister1 listings
  14. T-1Beth Preston1 listings
  15. T-1Joe Huneycutt1 listings

Highest asking volume

  1. 1Zachary Britt$2.7M
  2. 2Heather Montgomery$945K
  3. 3Andy Dameron$929K

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

15 agents · Sorted by listings

Agents in Closeburn-Glenkirk. Select Listings or Asking volume to sort highest first. Observed listing share uses 15 unique homes.
RankAgent / teamObserved
listing share
T-1Zachary BrittBritt Commercial Real Estate, LLC1$2.7M
T-1Heather MontgomeryCottingham Chalk1$945K
T-1Andy DameronKeller Williams Select1$929K
T-1Verria HairstonOpendoor Brokerage LLC1$835K
T-1Isabelle BurbankHelen Adams Realty1$465K
T-1Chloe FaucherHelen Adams Realty1$460K
T-1Jarod OrrellBerkshire Hathaway Homeservices Carolinas Realty1$460K
T-1Michael SeatonHelen Adams Realty1$460K
T-1Sydney PlatekHelen Adams Realty1$450K
T-1Bonnie StroupDickens Mitchener Residential Real Estate1$450K
T-1Jennifer GuiceHelen Adams Realty1$430K
T-1Lilliah MoseleyRedfin Corporation1$429K
T-1Nicole McalisterKeller Williams Ballantyne Area1$425K
T-1Beth PrestoneXp Realty1$425K
T-1Joe HuneycuttCOMPASS1$399K

Showing 1–15 of 15 agents

Understanding these numbers ↓

Ranks are calculated across all 15 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 ÷ 15 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

October 2026 edition

Reporting window
–
Coverage
15 agents & teams · 15 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: 293. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Closeburn-Glenkirk, Charlotte, NC. October 2026 edition. Listings and asking volume, Oct 27, 2025–Oct 27, 2026. Published Oct 30, 2026.

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

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