Every month, I sit down with TheMLS and pull the data myself.
Not a dashboard summary. Not a third-party report. Not an automated alert that tells me home values are "up 2.8% year over year" without telling me which street, which condition tier, or which price range that number actually applies to.
I pull the raw data. I work through it. And I build a current, specific, granular picture of exactly what is happening in the neighborhoods I serve, Ladera Heights, View Park-Windsor Hills, Baldwin Hills, and the southwest LA corridor.
Most agents don't do this. And that gap, between agents who consume market information and agents who actually generate it, has real, measurable consequences for every buyer and seller I work with.
I'm Danielle Edney, a third-generation Angeleno and Los Angeles real estate specialist. Here's exactly what I pull, what it reveals, and why no algorithm can replace it.
The Problem With Zillow - Straight From the Data
Let me start with something that will surprise you.
Zillow's Zestimate has a 7.49% median error rate for off-market homes. That means the estimate you're looking at right now, while your home is sitting off-market and you're deciding whether to sell, is the least accurate version of the number, with the fewest data inputs and the highest margin of error.
Let's make that concrete for the neighborhoods I serve:
On a $875,000 View Park-Windsor Hills home (median sold price): A 7.49% error = $65,538 in either direction
On a $1,712,500 Ladera Heights home (average sold price): A 7.49% error = $128,266 in either direction
If your home is worth $500,000, your Zestimate could be off by more than $34,000, and you wouldn't know it.
A seller who lists at their Zestimate, without a real CMA, could be leaving $65,000 to $128,000 on the table. Or pricing $65,000 too high and watching their listing sit for months while buyers pass it over.
Algorithms lag behind the market. They look backward. The real estate market moves in real time. By the time an online estimate adjusts, the opportunity has often already passed. The moment a home is listed in the MLS, many online estimates suddenly adjust to match the list price almost immediately. That alone tells you everything you need to know about how reactive these tools really are.
What Zillow Can't See, Ever
Here's what makes the Zestimate structurally limited in markets like View Park-Windsor Hills and Ladera Heights, not because the technology is bad, but because the information it needs simply doesn't exist in public records.
It cannot see inside your home.
Zestimates don't consider the condition of a property or its unique features. If the house needs repairs, the Zestimate could be higher than the actual value. Conversely, a new kitchen or beautifully landscaped yard might not be factored in, causing the Zestimate to be lower than the true market value.
In Ladera Heights and View Park-Windsor Hills, where homes are 60-80 years old and condition varies dramatically from property to property, this is not a minor limitation. It's a fundamental one.
It cannot see your street.
In more rural areas or when homes are unique and don't have good comps, Zestimates can be way off, missing the mark by six figures.
In my neighborhoods, it's not rural uniqueness that throws the algorithm, it's micro-market variation. A home on a quiet interior hillside street with city views in View Park can command $150,000-$200,000 more than a similar home on a busier street two blocks over. The Zestimate uses zip code and square footage. It cannot see the difference.
It cannot see buyer psychology in your specific price range.
The $875,000-$950,000 range in zip code 90043 has a completely different buyer pool, demand level, and competitive dynamic than the $1.1M-$1.4M range in the same zip code. An algorithm that averages across the entire market misses this entirely.
It cannot see what's coming before it's public.
My MLS data includes coming soon listings, days on market for active properties, and pending sales, giving me a real-time picture of what's in the pipeline before it affects the market. Zillow shows you what has already happened. I can see what's happening right now.
What My Monthly MLS Pull Actually Shows
Here's a specific breakdown of what I extract from TheMLS every month, and why each data point matters for the buyers and sellers I work with.
1. Sold Data - The Only Numbers That Actually Matter
The foundation of every pricing conversation I have is sold data, not active listings, not pending, not asking prices. What buyers have actually paid in the last 30-90 days for homes like yours, in your specific neighborhood.
From my most recent pull for zip codes 90043 and 90056 (April 2026):
View Park-Windsor Hills (90043):
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47 homes sold in 60 days
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Median sold price: $875,000
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Average sold price: $1,030,339
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Average price per sq. ft.: $623.72
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Sold vs. list price: 100.63%
Ladera Heights (90056) 12 months:
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64 homes sold
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Median sold price: $1,712,500
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Average sold price: $1,757,270
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Average price per sq. ft.: $671.09
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Sold vs. list price: 97.63%
Source: TheMLS™ April 10, 2026 | Danielle Edney, DRE #01826849
These are the numbers I use to price listings, advise buyers on offers, and evaluate whether a home is worth competing for. Not a Zestimate. Not a Redfin estimate. The actual transaction data from your actual neighborhood.
2. Days on Market Breakdown, The Data That Reveals Everything About Pricing
This is the data point that most separates my analysis from what any online tool provides, and it's the most important number for both buyers and sellers to understand.
View Park-Windsor Hills (90043) April 2026:
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0-30 days: 31 homes (65.96%) | Avg. sold vs. list: 101.49%
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31-60 days: 10 homes (21.28%) | Avg. sold vs. list: 99.00%
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61-90 days: 0 homes | Zero
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91-120 days: 1 home | Avg. sold vs. list: 97.64%
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120+ days: 5 homes (10.64%) | Avg. sold vs. list: 92.87%
No online tool gives you this breakdown for your specific zip code, updated monthly. This is the data that proves, with numbers, that overpriced homes in this market don't just sell slowly. They sell for 8.62 percentage points less than homes that moved in the first 30 days.
On a $875,000 home, that gap is $75,418.
3. Active Listings: Your Current Competition
Every month I pull the complete active listing picture for each zip code I serve: how many homes are currently on the market, what they're priced at, how long they've been sitting, and how they compare to your home in condition and features.
This tells me, before your home goes live, exactly what you're competing against and how to position you to win.
4. Price Per Square Foot by Condition Tier
This is where my local knowledge combines with the data in a way no algorithm can replicate. I track price per square foot not just as an average, but broken down by condition tier, fully updated, partially updated, original condition, so I can tell a seller exactly where their home falls within the market range based on its actual state.
An algorithm that averages $623.72/sq ft across all 47 recent View Park-Windsor Hills sales is giving you a number that includes fully renovated homes and original-condition homes in the same calculation. That number is nearly meaningless for pricing a specific property. My condition-tiered analysis is what actually determines where your home lands.
5. Absorption Rate: How Fast the Market Is Moving
The absorption rate tells me how many months of inventory currently exist at the current sales pace. A low absorption rate means it's a seller's market; a high one means buyers have more leverage. I calculate this specifically for each neighborhood and each price range, because the absorption rate at $875,000 in View Park-Windsor Hills is completely different from the absorption rate at $1.5M in Ladera Heights.
The Side-by-Side: Online Estimate vs. Real MLS Data
Let me show you what this actually looks like in practice.
A homeowner in View Park-Windsor Hills recently told me their Zestimate was showing $910,000.
Here's what my MLS pull showed for their specific home:
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Their home: 1,580 sq ft, original kitchen and bathrooms, no views, standard flat lot, well-maintained exterior
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Recent comparable sales within 0.5 miles, similar sq footage, similar condition: $855,000-$885,000
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Current active competition in similar condition at their price point: 2 homes, both sitting beyond 30 days
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Condition-adjusted price per sq ft for original-finish homes: $541-$560
Real market value range: $855,000-$885,000
Zestimate: $910,000
The gap: $25,000-$55,000 above what the market would pay
If that homeowner listed at their Zestimate, they would have experienced exactly what the days-on-market data predicts: sitting beyond 60 days, then selling at 92–97% of list price. The Zestimate didn't just give them a wrong number, it would have cost them real money and real time.
The MLS data gave them the honest number, and the pricing strategy to get the best possible outcome.
Why This Is the Data Advantage No Algorithm Can Replace
The confusion in the market "will, if anything, highlight the value of having an agent who is very knowledgeable about their local MLS," according to Redfin Chief Economist Daryl Fairweather.
The agents who will define the market in 2026 and beyond are not the ones who rely on the same online tools their clients use. They're the ones who go deeper, who pull the raw data, who understand the micro-market nuances, and who can translate that understanding into specific guidance for each client's specific situation.
The true value of a home is not determined by a website prediction. It is determined by buyers in the market today, and it comes down to demand, presentation, pricing strategy, and local expertise, especially in markets where values can change dramatically from one street to the next.
That's why I pull my own data. Not because it's more work, though it is. But because it's the only way to give the buyers and sellers I work with a genuine advantage in a market that moves fast, punishes misinformation, and rewards preparation.
What This Means for You
If you're a seller:
The number on Zillow is not your list price. It is a starting conversation, one that requires real local data to confirm, adjust, and transform into a pricing strategy that will generate the outcome you're looking for.
Every listing I take begins with a current MLS pull for your specific zip code, your specific price range, and your specific condition tier. That analysis, not an algorithm, is what sets your price.
If you're a buyer:
Knowing that a home is priced at $975,000 is only useful if you know whether comparable sales support that number. My monthly data pull means that when you find a home you love, I can tell you within hours whether the price is at market, above market, or below market, and what that means for your offer strategy.
Frequently Asked Questions
How accurate is Zillow's Zestimate for homes in Ladera Heights and View Park-Windsor Hills? Zillow's Zestimate has a 7.49% median error rate for off-market homes, meaning the estimate you see before a home lists is the least accurate version of the number. In Ladera Heights, where the average sold price is $1,757,270, a 7.49% error equals approximately $131,620 in either direction. For specific, accurate pricing, a professional CMA built on current sold data from TheMLS is the only reliable tool.
What does MLS data show that Zillow doesn't? MLS data shows actual sold prices (not asking prices), days on market breakdowns, condition-adjusted price per square foot, current active competition, pending sales, and absorption rates, all specific to your zip code and updated in real time. Zestimates don't consider the condition of a property or its unique features, which are critical when determining a home's value.
Why do online home value estimates change when a home lists? The moment a home is listed in the MLS, many online estimates suddenly adjust to match the list price almost immediately. This reveals that online tools are reactive, not predictive, they follow market data rather than generating it.
How often does Danielle Edney pull MLS data? Monthly, at minimum, and for any active buyer or seller client, I pull current data specific to their neighborhood and price range before every offer, every listing, and every pricing strategy conversation.
Why does pulling your own MLS data matter for buyers and sellers? Because the difference between pricing a home correctly and overpricing it by 7% in this market is the difference between a 15-day sale at 101% of list price and a 120-day ordeal that ends at 92.87% of list price. In View Park-Windsor Hills, that gap on a median-priced home represents over $75,000. The data is the foundation of every good decision in real estate, and the only reliable source of that data is the MLS, pulled and interpreted by someone who knows the neighborhood.
Ready for Data-Driven Guidance That's Actually Local?
If you're thinking about buying or selling in Ladera Heights, View Park-Windsor Hills, Baldwin Hills, or anywhere in the southwest LA corridor, I'd love to walk you through what the current data actually says about your specific situation.
Not a Zestimate. Not a county average. The real numbers from your real neighborhood interpreted by someone who has been living in this market for most of my life.
Visit DanielleEdneyHomes.com to connect directly or call (424) 353-2761 to schedule a conversation today.
Danielle Edney is a real estate agent in Los Angeles, California specializing in Ladera Heights, View Park-Windsor Hills, Baldwin Hills, Culver City, Playa Vista, Santa Monica, Venice, and Mar Vista, helping buyers and sellers navigate the LA market with confidence and concierge-level service.
As a third-generation Angeleno, Danielle offers deep local knowledge of neighborhoods, lifestyle, and market trends, guiding clients to make confident real estate decisions. She is known for her concierge-level service and results-driven approach, making her a trusted resource for buyers and sellers across Los Angeles.
Danielle Edney Real Estate Agent | Los Angeles, California
Data Source: TheMLS™ Listing Search April 10, 2026. Single-family homes, zip codes 90043 and 90056. Information deemed reliable but not guaranteed.
