Top Real Estate Agents in Sardis Forest, Charlotte, NC

October 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Historical snapshot. Open the latest leaderboard.

Sardis Forest at a glance

113 agents & teams · 129 homes

Based on Cribber’s trailing-12-month listing-activity data, Lind Goodman, Paul Jamison share first place in Sardis Forest, Charlotte, NC with 3 credited listings each.

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

Most listings

  1. T-1Lind Goodman3 listings
  2. T-1Paul Jamison3 listings
  3. T-3John Siddons2 listings
  4. T-3Trevor Taefi2 listings
  5. T-3Roger Berrey2 listings
  6. T-3Tanya Jennings2 listings
  7. T-3Sherrie Andrews2 listings
  8. T-3Rocio Garcia2 listings
  9. T-3Jenna Lucas, Broker2 listings
  10. T-3Libby Peacock2 listings
  11. T-3Peter Dorninger2 listings
  12. T-3Jobey Thomas2 listings

Highest asking volume

  1. 1John Siddons$14M
  2. 2Miriam Peters$13.9M
  3. 3Lind Goodman$6.1M

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

113 agents · Sorted by listings

Agents in Sardis Forest. Select Listings or Asking volume to sort highest first. Observed listing share uses 129 unique homes.
RankAgent / teamObserved
listing share
T-1Lind GoodmanBSI Builder Services3$6.1M
T-1Paul JamisonKeller Williams South Park3$1.6M
T-3John SiddonsBerkshire Hathaway Homeservices Carolinas Realty2$14M
T-3Trevor TaefiRE/MAX Executive2$4.4M
T-3Roger BerreyBetter Homes and Gardens Real Estate Paracle2$4M
T-3Tanya JenningsKeller Williams Connected2$3M
T-3Sherrie AndrewsHelen Adams Realty2$1.4M
T-3Rocio GarciaNorthGroup Real Estate LLC2$1.4M
T-3Jenna Lucas, BrokereXp Realty2$1.3M
T-3Libby PeacockIvester Jackson | Christie's International Real Estate2$1.2M
T-3Peter DorningerRedfin Corporation2$1.1M
T-3Jobey ThomasCOMPASS2$1M
T-13Miriam PetersBrokerage not listed1$13.9M
T-13Debbie PearsonBSI Builder Services1$2.3M
T-13Josh KellyKeller Williams Ballantyne Area1$1.7M
T-13Jamie ThomasCorcoran HM Properties1$1.6M
T-13Hayes WillettNextHome Paramount1$1.3M
T-13Malisha EchevarriaERA Live Moore1$1.2M
T-13Briley BurrisBriley Burris Realty1$1.1M
T-13Alex KantorIvester Jackson | Christie's International Real Estate1$1.1M

Showing 1–20 of 113 agents

Understanding these numbers ↓

Ranks are calculated across all 113 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 ÷ 129 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
113 agents & teams · 129 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: 176. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Sardis Forest, 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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