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Top Real Estate Agents in Uptown, Chicago, IL

October 2026 · Ranked by observed listing activity over 12 months

Data through · Updated monthly · Edition details

Uptown at a glance

136 agents & teams · 154 homes

Based on Cribber’s trailing-12-month listing-activity data, Todd Szwajkowski ranks first in Uptown, Chicago, IL with 3 credited listings.

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

Most listings

  1. 1Todd Szwajkowski3 listings
  2. T-2Quinn Evans2 listings
  3. T-2Alex Wolking2 listings
  4. T-2Hadley Rue2 listings
  5. T-2Riz Gilani2 listings
  6. T-2Alley Ballard2 listings
  7. T-2Michael Hall2 listings
  8. T-2Christie Carmody2 listings
  9. T-2Kelly Parker2 listings
  10. T-2Mark M Zipperer2 listings
  11. T-2Scott Curcio2 listings
  12. T-2Brian Pistorius2 listings
  13. T-2Kit Welch2 listings
  14. T-2Nick Libert2 listings
  15. T-2Lance Kirshner2 listings
  16. T-2Olin Eargle2 listings
  17. T-2Andriy Diatkovych2 listings

Highest asking volume

  1. 1Quinn Evans$5.1M
  2. 2Mike Kaplun$2.2M
  3. 3Alex Wolking$2.1M

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

136 agents · Sorted by listings

Agents in Uptown. Select Listings or Asking volume to sort highest first. Observed listing share uses 154 unique homes.
RankAgent / teamObserved
listing share
1Todd SzwajkowskiDream Town Realty3$1.5M
T-2Quinn EvansEssex 312, LLC2$5.1M
T-2Alex WolkingKeller Williams ONEChicago2$2.1M
T-2Hadley RueBaird & Warner2$1.9M
T-2Riz GilaniALLURE Real Estate2$1.8M
T-2Alley Ballard@properties East Lincoln Park2$1.5M
T-2Michael HallBaird & Warner Lincoln Park2$1.5M
T-2Christie CarmodyFulton Grace Realty2$1.2M
T-2Kelly ParkerCOMPASS2$1.1M
T-2Mark M ZippererRE MAX PREMIER2$1M
T-2Scott CurcioBaird & Warner Lincoln Park2$1M
T-2Brian PistoriusCOMPASS2$895K
T-2Kit WelchBaird & Warner North Center2$850K
T-2Nick LibertEXIT STRATEGY REALTY2$849.8K
T-2Lance KirshnerCOMPASS2$829.9K
T-2Olin Eargle@properties Christie's International Real Estate2$605K
T-2Andriy DiatkovychKOLO PROPERTIES LLC2$450K
T-18Mike KaplunUniconte LLC1$2.2M
T-18Vince DinhHomeSmart Connect LLC- Edison Parl1$2M
T-18James MillerDIRECT BROKER LLC1$1.6M

Showing 1–20 of 136 agents

Understanding these numbers ↓

Ranks are calculated across all 136 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 ÷ 154 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
136 agents & teams · 154 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: 883. Quality checks: passed.

Sources & reuse

Cite this leaderboard

Cribber. Top Real Estate Agents in Uptown, 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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