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Top Real Estate Agents in Ravenswood, Chicago, IL

October 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Ravenswood at a glance

249 agents & teams · 289 homes

Based on Cribber’s trailing-12-month listing-activity data, Grigory Pekarsky, Shay Hata share first place in Ravenswood, Chicago, IL with 4 credited listings each.

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

Most listings

  1. T-1Grigory Pekarsky4 listings
  2. T-1Shay Hata4 listings
  3. T-3Jeff Lowe3 listings
  4. T-3Svitlana Creadon3 listings
  5. T-3Rose Leversha With @Properties Christie's International Real Estate3 listings
  6. T-3Chris Sears3 listings
  7. T-3Michael Tatar3 listings
  8. T-3Christie Carmody3 listings
  9. T-3Dominic Irpino3 listings

Highest asking volume

  1. 1Jeff Lowe$8.9M
  2. 2Marta Landrosh$4M
  3. 3Albert Suszycki$3.5M

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

249 agents · Sorted by listings

Agents in Ravenswood. Select Listings or Asking volume to sort highest first. Observed listing share uses 289 unique homes.
RankAgent / teamObserved
listing share
T-1Grigory PekarskyVesta Preferred LLC / RNP Real Estate Group4$2.8M
T-1Shay Hata@properties East Lincoln Park4$2.6M
T-3Jeff LoweCOMPASS3$8.9M
T-3Svitlana CreadonCOMPASS3$2.8M
T-3Rose Leversha With @Properties Christie's International Real Estate@properties North Center3$2.4M
T-3Chris Sears@properties Bucktown3$2.3M
T-3Michael Tatar@properties North Center3$1.9M
T-3Christie CarmodyFulton Grace Realty3$1.7M
T-3Dominic IrpinoIrpino Real Estate, Inc.3$1.5M
T-10Keith GoadBerkshire Hathaway HomeServices Chicago - Michigan Avenue Office2$3M
T-10Alex WolkingKeller Williams ONEChicago2$2.9M
T-10Sarah Maxwell@properties Bucktown2$1.8M
T-10James MillerDIRECT BROKER LLC2$1.7M
T-10Elizabeth LatourBaird & Warner2$1.6M
T-10Linda LevinJameson Sotheby's International Realty2$1.6M
T-10Maria E. Fernandez@properties Bucktown2$1.4M
T-10Ryan Douglas WellsKeller Williams ONEChicago2$1.3M
T-10Ellen Webber@properties North Center2$1.2M
T-10Lucas Baker@properties East Lincoln Park2$1M
T-10Alex StoykovCOMPASS2$929K

Showing 1–20 of 249 agents

Understanding these numbers ↓

Ranks are calculated across all 249 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 ÷ 289 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
249 agents & teams · 289 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: 762. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Ravenswood, 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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