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Top Real Estate Agents in Logan Square, Chicago, IL

October 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Logan Square at a glance

543 agents & teams · 706 homes

Based on Cribber’s trailing-12-month listing-activity data, Kacia Snyder, Lauren Josefowicz share first place in Logan Square, Chicago, IL with 6 credited listings each.

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

Most listings

  1. T-1Kacia Snyder6 listings
  2. T-1Lauren Josefowicz6 listings
  3. T-3William Goldberg, Broker5 listings
  4. T-3Christopher Norton5 listings
  5. T-3Roman Popovych5 listings
  6. T-3Lucas Blahnik5 listings
  7. T-3Amanda Mcmillan5 listings
  8. T-3Joel Halperin5 listings
  9. T-3Jason O'beirne5 listings
  10. T-3Anna Huls5 listings

Highest asking volume

  1. 1William Goldberg, Broker$6.1M
  2. 2Christopher Norton$5.8M
  3. 3Roman Popovych$5.7M

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

543 agents · Sorted by listings

Agents in Logan Square. Select Listings or Asking volume to sort highest first. Observed listing share uses 706 unique homes.
RankAgent / teamObserved
listing share
T-1Kacia SnyderJameson Sotheby's International Realty6$3.7M
T-1Lauren JosefowiczGnp Realty Partners, Llc6$2.2M
T-3William Goldberg, BrokerFulton Grace Realty5$6.1M
T-3Christopher NortonCOMPASS5$5.8M
T-3Roman PopovychProdan Realty Inc5$5.7M
T-3Lucas Blahnik@properties Logan Square5$5.2M
T-3Amanda Mcmillan@properties Bucktown5$5M
T-3Joel HalperinDream Town Realty5$5M
T-3Jason O'beirneJameson Sotheby's International Realty5$4.7M
T-3Anna Huls@properties Logan Square5$3.5M
T-11Anthony AraqueChicagoland Brokers, Inc. - Oak Lawn4$5.3M
T-11Lauren HundmanWestward 3604$4.2M
T-11Grigory PekarskyVesta Preferred LLC / RNP Real Estate Group4$3.8M
T-11Niko ApostalEssex 312, LLC4$3.3M
T-11Eduardo PadroPearson Realty Group4$2.7M
T-11Patrick ShinoFulton Grace Realty4$2.2M
T-11Bari Levine Bruszer@properties East Lincoln Park4$2.2M
T-11Sarah Maxwell@properties Bucktown4$2.1M
T-11Brooke Vanderbok@properties North Center4$2.1M
T-11John Burks@properties Bucktown4$1.9M

Showing 1–20 of 543 agents

Understanding these numbers ↓

Ranks are calculated across all 543 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 ÷ 706 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
543 agents & teams · 706 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: 723. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Logan Square, 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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