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Top Real Estate Agents in Princeton Park, Chicago, IL

October 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Princeton Park at a glance

15 agents & teams · 15 homes

Based on Cribber’s trailing-12-month listing-activity data, Giovanni Laverde, Jake Wirtz, Robert Davis, Jason Hinsley, Leroy Tyree, Louie Psyhogios, Loria Hamilton-field, Hugo Araujo, Christopher A Lobrillo, Brian Ploszay, Kally Mcgill, David Williamson, Jose Leon, Tiffany Martinez, Kimberly Mcclinton share first place in Princeton Park, Chicago, IL with 1 credited listings each.

Leading agents by observed listing activity, Oct 30, 2025 – Oct 30, 2026.

Most listings

  1. T-1Giovanni Laverde1 listings
  2. T-1Jake Wirtz1 listings
  3. T-1Robert Davis1 listings
  4. T-1Jason Hinsley1 listings
  5. T-1Leroy Tyree1 listings
  6. T-1Louie Psyhogios1 listings
  7. T-1Loria Hamilton-field1 listings
  8. T-1Hugo Araujo1 listings
  9. T-1Christopher A Lobrillo1 listings
  10. T-1Brian Ploszay1 listings
  11. T-1Kally Mcgill1 listings
  12. T-1David Williamson1 listings
  13. T-1Jose Leon1 listings
  14. T-1Tiffany Martinez1 listings
  15. T-1Kimberly Mcclinton1 listings

Highest asking volume

  1. 1Giovanni Laverde$300K
  2. 2Jake Wirtz$300K
  3. 3Robert Davis$290K

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 Princeton Park. Select Listings or Asking volume to sort highest first. Observed listing share uses 15 unique homes.
RankAgent / teamObserved
listing share
T-1Giovanni LaverdeColdwell Banker Realty1$300K
T-1Jake WirtzWirtz Real Estate Group Inc.1$300K
T-1Robert DavisB & D Enterprise1$290K
T-1Jason HinsleyRe Max Metropolitan LLC1$275K
T-1Leroy TyreePaul Luxury Homes, LLC1$250K
T-1Louie PsyhogiosSr Realty Group Inc.1$249.9K
T-1Loria Hamilton-fieldCOMPASS1$239.9K
T-1Hugo AraujoColdwell Banker Realty1$200K
T-1Christopher A LobrilloGrandview Realty, Llc1$169.9K
T-1Brian PloszayAltura Realty Inc.1$124.9K
T-1Kally McgillMcgill Realty1$90K
T-1David WilliamsonChoice Realty Group Inc.1$69.9K
T-1Jose LeonRE MAX Partners1$59.9K
T-1Tiffany MartinezNORTH CLYBOURN GROUP, INC.1$57K
T-1Kimberly McclintonKeyed Realty Collective LLC1$50K

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: 836. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Princeton Park, Chicago, IL. October 2026 edition. Listings and asking volume, Oct 30, 2025–Oct 30, 2026. Published Oct 30, 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.

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