Created on November 8, 2026 Market Data Source: SDAR 10K Research
8324 Regents Rd, Unit 2E
San Diego, CA 92122
2 bd · 2 ba · 894 sqft · Sold on Aug. 3, 2026
Estimates Update
United Home Price Estimate
$580,600
Based on the four automated model estimates below, checked on Nov. 8, 2026.
vs Last sold price $555,000: +$25,600 · +4.6%
This value is based on the four automated valuation models (AVMs) listed below. This is a home price estimate prepared by United Home Teams, Inc. based on automated calculations from available data online. This is not a formal appraisal. Tap any model for how its value works.
Local Market Performance
92122 · Attached · October 2026
Median Sales Price$638,500−15.9% vs last year−3.3% vs last month
Sales to List Price Ratio93.9%−0.2% vs last year−2.6% vs last month
Months Supply of Inventory4.6 mo−2.1% vs last year−2.1% vs last month
Avg. Days on Market43 days−18.9% vs last year+7.5% vs last month
University City condos have cooled noticeably over the past year: the median price is down 15.9%, and sellers are accepting roughly 94 cents on the asking dollar. With 4.6 months of inventory, supply and demand are near balance on paper — but pricing momentum and negotiating leverage currently sit with buyers, so well-priced condos still move while optimistic listings linger.
Market Heat Meter
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Zillow — Zestimate®: $548,900 (range $505,000 – $593,000). Slightly below the $555,000 paid at the August sale.
The best-known consumer automated valuation model (AVM) in the U.S., built from public records, MLS data, and user-submitted facts on hundreds of millions of homes.
Published accuracy: median error about 1.77% for on-market homes and about 7% for off-market homes. The wider off-market error is the honest caveat — without a live listing, the model cannot see condition or upgrades.
MLS-driven AVM
Redfin — Redfin Estimate: $620,820. Highest of the four headlines — up about $66K since the August sale, though down about $15K since October.
Redfin is both a brokerage and a portal, so its estimate draws directly on MLS data and hundreds of data points — Redfin cites 500+ — including listing details other portals may not receive as quickly.
Published accuracy: median error about 1.85% on-market and about 7.25% off-market — very close to Zillow, with a different data emphasis. Its higher figure here, and the pullback since October, show how sensitive an AVM is to which recent comparable sales it weighs most.
CoreLogic / Cotality AVM
Realtor.com® — provider estimates: $580,462 (average of the three providers below — Realtor.com showed no single headline number for this home, so the average is used as its figure).
Realtor.com surfaces several professional AVMs under one page. Its core engine traces to CoreLogic — now Cotality — the property-data firm whose models lenders, insurers, and appraisers have used for decades.
On this home: Collateral Analytics $551,000 · Cotality (CoreLogic) $560,328 · Quantarium $630,058. The Quantarium figure sits about $70–79K above the other two — a wider spread than the professional models usually show, and a reminder that even lender-grade models disagree on individual condos.
Aggregator · Not a standalone model
Homes.com — average of 4 AVMs: $572,218 (range $551,000 – $596,653; values based on September 2026).
Homes.com does not run its own valuation model — it aggregates four lender-grade AVMs and averages them: Collateral Analytics $551,000 · ICE Mortgage Technology $569,000 · First American no value returned · Quantarium $596,653. With First American returning no value for this home, the published average rests on the other three.
Collateral Analytics is now part of ICE via Black Knight; ICE Mortgage Technology powers a large share of U.S. mortgage origination; First American is a title-data giant whose records cover 99% of U.S. deeds, mortgages, and foreclosures; Quantarium is an AI-driven model trained on parcel and imagery data.
Our method
United Home Price Estimate: $580,600.
It is the equal-weight average of the four headline estimates on this page:
No single algorithm sees a home the way an appraiser walking through it would. Averaging four independent models — consumer, MLS-driven, lender-grade, and aggregated — smooths out any one model’s blind spots and outliers.
Heat score · 32 / 100 · Buyer's
How the 32 is built — each SDAR 10K Research input is scored 0–100 by band, then weighted:
Months Supply of Inventory — 4.6 mo Score 50 · × 40% = 20.0
Sales to List Price Ratio — 93.9% Score 0 · × 25% = 0
Days on market — 43 days Score 60 · × 20% = 12.0
Median price YoY — −15.9% Score 0 · × 15% = 0
Heat = 0.40 × Supply + 0.25 × Sales to List Price Ratio + 0.20 × DOM + 0.15 × Median YoY
Why buyer's, not balanced? Inventory on its own sits in the balanced band — 4.6 months of supply — and homes are selling a bit faster than a year ago. But price pulls the score down: sellers are closing at 93.9% of asking and the median is down 15.9% year over year, so both price inputs score zero and buyers hold the negotiating leverage.
Industry anchor (NAR): under 4 months of supply is a seller’s market, 4–6 balanced, over 6 a buyer’s market — which is why supply carries the largest weight.
