live · 2h 26m · Oct 18, 8:54 PM CT
Pro plansTuro prices, with perspective.
Find cheaper pickup days, compare trip lengths, and see how today’s observed prices fit the history. Find a trip →
// renter evidence for 3-day Tesla trips near Chicago O’Hare (ORD) · observed about every four hours · methodology →
headline facts from the latest verified observation — every figure is proven by a panel below
Data quality: current prices verified
the cheapest well-supported ways to book this market right now
Best-priced 3-day pickup dates with reliable support
Each date has at least 30 listings, 95% fresh prices, and representative coverage. Close estimates are shown as ties instead of false winners.
Read Flexible on dates? These are the cheapest well-supported pickup dates in the current observation — the spread between them is what moving pickup can be worth.
method & limits
Ranks well-covered pickup dates by lowest observed typical listing price for this trip length; every date carries at least 30 listings, 95% fresh prices, and representative coverage. These are descriptive medians, not booking guarantees, and overlapping intervals do not establish a winner.
Date × duration explorer — Chicago O’Hare (ORD) ◉ latest observation
Median total and $/day · independent color scale within each duration · thin cells never set the scale or mobile ranking
Lowest 11 of 11 well-supported 3-day pickup options
Read Use the lower-priced pickup dates to narrow your search before comparing individual cars.
method & limits
Each cell places a supported pickup-date × trip-length combination within its own duration row’s observed price range. Color scales are row-local and cannot be compared across trip lengths; cells describe current available-listing prices, not future prices.
Free days — longer trip, lower total ◉ latest observation
Same car and pickup date where keeping the car longer totals less · top savings, one per car · full stored list in the Free Day finder above
| Car | Pickup | Shorter trip | Longer ↗ | You save |
|---|---|---|---|---|
| 2022 Model S | Oct 20 | 6d · $2,207 | 8d · $1,975 ↗ | −$232 |
| 2024 Cybertruck | Oct 19 | 7d · $3,361 | 8d · $3,148 ↗ | −$213 |
| 2025 Model S | Oct 19 | 7d · $2,668 | 8d · $2,500 ↗ | −$168 |
| 2022 Model S | Oct 20 | 7d · $2,117 | 8d · $1,975 ↗ | −$142 |
| 2024 Cybertruck | Oct 20 | 7d · $1,669 | 8d · $1,542 ↗ | −$127 |
| 2025 Cybertruck | Oct 21 | 7d · $1,759 | 8d · $1,654 ↗ | −$105 |
| 2020 Model 3 | Oct 20 | 6d · $594 | 8d · $491 ↗ | −$103 |
| 2023 Model X | Oct 19 | 7d · $2,065 | 8d · $1,970 ↗ | −$95 |
Top 8 of 772 qualifying quote-window opportunities across 87 distinct cars · one quote window = listing × pickup date × trip length.
Read A longer trip that costs less in total — hosts’ length discounts overshoot; book the longer option and return early if you like.
method & limits
Pairs the same listing and pickup date at two trip lengths inside the latest observation and keeps pairs where the longer total is strictly lower; one representative pair per car, largest savings first. Savings compare pre-tax bookable totals inside the observed quote window; availability can change before booking, and the stored list is capped.
Largest detected price decreases ⟲ 48h
44 listing events · 423 affected trip prices · 32 distinct listings
| Detected | Market | Listing | Representative trip | Affected surface | Price | Decrease |
|---|---|---|---|---|---|---|
| Oct 18, 5:00 PM CT | LAX | 2025 Model 3host view → | Oct 19–20 · 1d | 14 trip-price combinations · 1 pickup date · 1–14d | $394 → $116 | ↓70.6% |
| Oct 18, 8:45 PM CT | LAX | 2025 Model 3host view → | Oct 20–21 · 1d | 42 trip-price combinations · 3 pickup dates · 1–14d | $374 → $112 | ↓70.1% |
| Oct 18, 1:00 PM CT | LAX | 2023 Model Yhost view → | Oct 26–27 · 1d | 14 trip-price combinations · 1 pickup date · 1–14d | $276 → $131 | ↓52.5% |
| Oct 18, 9:15 AM CT | LAX | 2023 Model Yhost view → | Oct 25–26 · 1d | 28 trip-price combinations · 2 pickup dates · 1–14d | $306 → $146 | ↓52.3% |
| Oct 17, 5:30 PM CT | LAX | 2023 Model Yhost view → | Oct 18–19 · 1d | 28 trip-price combinations · 2 pickup dates · 1–14d | $240 → $150 | ↓37.5% |
| Oct 17, 9:45 AM CT | LAX | 2023 Model 3host view → | Oct 22–23 · 1d | 14 trip-price combinations · 1 pickup date · 1–14d | $153 → $106 | ↓30.7% |
| Oct 17, 5:30 PM CT | LAX | 2023 Model Yhost view → | Oct 19–20 · 1d | 2 trip-price combinations · 1 pickup date · 1–2d | $242 → $179 | ↓26.0% |
| Oct 18, 1:00 PM CT | LAX | 2026 Model Xhost view → | Oct 26–30 · 4d | 14 trip-price combinations · 1 pickup date · 1–14d | $1,078 → $820 | ↓23.9% |
| Oct 17, 9:45 AM CT | LAX | 2026 Model Yhost view → | Oct 22–23 · 1d | 14 trip-price combinations · 1 pickup date · 1–14d | $234 → $178 | ↓23.9% |
| Oct 17, 1:30 PM CT | LAX | 2023 Model 3host view → | Oct 23–24 · 1d | 14 trip-price combinations · 1 pickup date · 1–14d | $153 → $117 | ↓23.5% |
| Oct 18, 1:00 PM CT | LAX | 2024 Model Shost view → | Oct 26–31 · 5d | 14 trip-price combinations · 1 pickup date · 1–14d | $1,221 → $964 | ↓21.0% |
| Oct 18, 9:15 AM CT | LAX | 2022 Model Yhost view → | Oct 25–26 · 1d | 9 trip-price combinations · 1 pickup date · 1–9d | $148 → $117 | ↓20.9% |
| Oct 18, 1:00 PM CT | LAX | 2026 Model Yhost view → | Oct 26–27 · 1d | 3 trip-price combinations · 1 pickup date · 1–3d | $216 → $178 | ↓17.6% |
| Oct 18, 1:00 PM CT | LAX | 2026 Model Yhost view → | Oct 26–29 · 3d | 14 trip-price combinations · 1 pickup date · 1–14d | $462 → $382 | ↓17.3% |
| Oct 17, 1:30 PM CT | ORD | 2026 Model Yhost view → | Oct 23–27 · 4d | 14 trip-price combinations · 1 pickup date · 1–14d | $550 → $456 | ↓17.1% |
| Oct 17, 1:30 PM CT | ORD | 2018 Model 3host view → | Oct 23–24 · 1d | 5 trip-price combinations · 1 pickup date · 1–5d | $112 → $94 | ↓16.1% |
| Oct 18, 1:00 PM CT | LAX | 2026 Model Yhost view → | Oct 26–29 · 3d | 14 trip-price combinations · 1 pickup date · 1–14d | $410 → $353 | ↓13.9% |
| Oct 17, 5:30 PM CT | LAX | 2023 Model 3host view → | Oct 19–21 · 2d | 2 trip-price combinations · 1 pickup date · 1–2d | $243 → $210 | ↓13.6% |
| Oct 18, 5:00 PM CT | LAX | 2019 Model 3host view → | Oct 24–25 · 1d | 14 trip-price combinations · 1 pickup date · 1–14d | $144 → $126 | ↓12.5% |
| Oct 17, 1:30 PM CT | ORD | 2021 Model Yhost view → | Oct 23–25 · 2d | 9 trip-price combinations · 1 pickup date · 1–9d | $292 → $259 | ↓11.3% |
| Oct 18, 8:45 PM CT | LAX | 2027 Model Yhost view → | Oct 19–27 · 8d | 16 trip-price combinations · 3 pickup dates · 1–14d | $855 → $760 | ↓11.1% |
| Oct 17, 9:45 AM CT | LAX | 2025 Model 3host view → | Oct 22–23 · 1d | 1 trip-price combination · 1 pickup date · 1d | $243 → $216 | ↓11.1% |
| Oct 18, 1:00 PM CT | LAX | 2023 Model 3host view → | Oct 26–28 · 2d | 14 trip-price combinations · 1 pickup date · 1–14d | $227 → $202 | ↓11.0% |
| Oct 17, 9:45 AM CT | LAX | 2023 Model 3host view → | Oct 22–Nov 4 · 13d | 14 trip-price combinations · 1 pickup date · 1–14d | $1,017 → $911 | ↓10.4% |
| Oct 18, 1:00 PM CT | LAX | 2024 Model Yhost view → | Oct 26–28 · 2d | 6 trip-price combinations · 1 pickup date · 1–11d | $270 → $243 | ↓10.0% |
| Oct 17, 5:30 PM CT | LAX | 2023 Model Yhost view → | Oct 18–19 · 1d | 1 trip-price combination · 1 pickup date · 1d | $170 → $154 | ↓9.4% |
| Oct 18, 1:00 PM CT | LAX | 2023 Model Xhost view → | Oct 26–31 · 5d | 9 trip-price combinations · 1 pickup date · 1–9d | $756 → $686 | ↓9.3% |
| Oct 17, 1:30 PM CT | ORD | 2023 Model 3host view → | Oct 23–Nov 5 · 13d | 7 trip-price combinations · 1 pickup date · 8–14d | $1,066 → $967 | ↓9.3% |
| Oct 17, 5:30 PM CT | ORD | 2018 Model 3host view → | Oct 19–20 · 1d | 9 trip-price combinations · 2 pickup dates · 1–5d | $99 → $90 | ↓9.1% |
| Oct 18, 8:45 PM CT | LAX | 2027 Model Yhost view → | Oct 22–25 · 3d | 5 trip-price combinations · 2 pickup dates · 2–5d | $394 → $360 | ↓8.6% |
Read Every row names an exact trip that just got cheaper — the most directly actionable table on the page.
method & limits
Lists the largest listing-level price decreases detected across fresh listing, pickup-date, and trip-length prices during the retained 48-hour period. Detected time is when Carconomics observed the change, not when the host made it; the table is capped to recent large events and is not a complete host-pricing history.
Repricing behavior — listings cutting price repeatedly ⟲ 48h + ledger
Listings with two or more detected posted-price cuts · sorted by cut count · ledger recorded since Aug 16
| Listing | Market | Cuts · 48h | Cuts since Aug 16 | Largest single cut | Last detected |
|---|---|---|---|---|---|
| 2026 Model Yhost view → | LAX | 2 | 100 | ↓40.6% | Oct 18, 1:00 PM CT |
| 2026 Model 3host view → | LAX | 0 | 83 | ↓19.0% | Oct 2, 11:00 AM CT |
| 2026 Model Yhost view → | LAX | 0 | 81 | ↓26.8% | Oct 16, 9:45 PM CT |
| 2026 Model Yhost view → | LAX | 0 | 81 | ↓50.2% | Oct 15, 10:15 AM CT |
| 2026 Model Yhost view → | LAX | 1 | 80 | ↓17.3% | Oct 18, 1:00 PM CT |
| 2024 Model Shost view → | LAX | 1 | 80 | ↓21.8% | Oct 18, 1:00 PM CT |
| 2025 Cybertruckhost view → | LAX | 0 | 80 | ↓21.4% | Sep 24, 7:45 AM CT |
| 2026 Model Yhost view → | LAX | 0 | 79 | ↓28.8% | Oct 7, 8:15 AM CT |
| 2026 Model Yhost view → | LAX | 1 | 76 | ↓15.3% | Oct 18, 1:00 PM CT |
| 2026 Model Yhost view → | LAX | 0 | 76 | ↓15.2% | Sep 30, 4:15 PM CT |
Read A listing cutting its posted price again and again is walking its price down in the open — worth knowing before you book at the first number you see.
method & limits
Groups the retained 48-hour drop events by listing and, alongside them, an hourly Worker ledger that folds the same events into longer counts (recording began Aug 16); a listing qualifies with two or more detected cuts in either record. Counts are listing-level observed posted-price declines only: motive is not observable, frequent cuts describe pricing behavior rather than strategy, and listing control cannot be attributed to a named host. Detected time is when Carconomics observed each change.
how observed prices move with date, duration, model, and lead time
Current price by trip length ◉ latest observation
Typical listing’s median $/day within each independently supported duration · seven-day host-discount boundary marked
Hover, focus or tap a point to inspect the observation.
View trip-length data table
| Trip length | Median / day | Middle 80% | Listings | Support |
|---|---|---|---|---|
| 1 day | $130.25 | $94.70–$243.60 | 88 (88 fresh) | Supported |
| 2 days | $131.25 | $93.18–$245.53 | 88 (88 fresh) | Supported |
| 3 days | $115.83 | $87.50–$217.45 | 88 (88 fresh) | Supported |
| 4 days | $112.63 | $86.18–$211.47 | 88 (88 fresh) | Supported |
| 5 days | $107.50 | $83.29–$207.18 | 88 (88 fresh) | Supported |
| 6 days | $104 | $80.52–$204.38 | 88 (88 fresh) | Supported |
| 7 days | $98.07 | $72.49–$193.80 | 88 (88 fresh) | Supported |
| 8 days | $81.19 | $59.54–$160.91 | 88 (88 fresh) | Supported |
| 9 days | $80.44 | $59.21–$159.39 | 88 (88 fresh) | Supported |
| 10 days | $80.48 | $58.68–$158.17 | 88 (88 fresh) | Supported |
| 11 days | $80.05 | $58.70–$157.45 | 88 (88 fresh) | Supported |
| 12 days | $79.44 | $58.32–$157.44 | 88 (88 fresh) | Supported |
| 13 days | $79.90 | $58.03–$157.18 | 88 (88 fresh) | Supported |
| 14 days | $74.86 | $54.57–$148.21 | 88 (88 fresh) | Supported |
Read Read where per-day rates step down as trips stretch — the seven-day marker flags a common host discount-policy boundary.
method & limits
One listing-equal median $/day per independently supported trip length, in the latest observation. The seven-day marker identifies a common discount-policy boundary without proving it caused the step; each duration can contain a different supported listing cohort.
Current 3-day price by days before pickup ◉ selected trip length
Typical listing price per day · shaded middle 50% · optional market comparison
Hover, focus or tap a point to inspect the observation.
Read Find your days-out position on this curve: it shows whether close-in quotes look cheaper or pricier than far-out ones in the latest observation.
method & limits
Charts the typical listing $/day against days until pickup, one point per lead-time bucket, with the middle 50% shaded. An unadjusted cross-section: different pickup dates can contain different listings, and the pattern is not evidence that waiting changes a specific car’s price.
Price by pickup weekday ◉ 3-day trips
Listing-equal selected-duration medians with support and 95% intervals · association only
Typical daily price by pickup day. Green marks the lowest supported median; it does not predict a discount.
Pooled model-adjusted associations: Fri/Sat pickup +5.6% (95% interval 1.7% to 9.5%). These are not the raw bars above.
Read Pickup day can slide within the week? These bars are the currently observed weekday-to-weekday spread.
method & limits
Listing-equal selected-duration medians per pickup weekday, with support counts and 95% intervals. Raw, unadjusted bars confounded by which cars, dates, and hosts are present — they do not identify a best weekday or a causal weekday effect.
Price by model ◉ 3d
Listing-equal medians · 10–29 listings = thin · at least 30 required to highlight a lowest cohort
Read The observed cohort gap shows what switching model moves for the typical listing — weigh it against the date and length spreads above before picking which lever to pull.
method & limits
The typical listing’s median daily price within each current Tesla model cohort for this trip length. Compares current observed cohorts, not vehicle quality or ownership cost; cohort composition can differ, and overlapping intervals do not establish a definitive lowest segment.
Current price range ◉ future pickup dates
Listings quoted anywhere in the future window · 3-day distribution · ORD
Read The p10-to-p90 gap is what sorting by price is worth right now — the wider it is, the more comparing pays.
method & limits
Median and middle-80% range of current listing-level daily prices for the selected trip length, across the future quote window. p10–p90 means the middle 80% of listing-level values, not a confidence interval; listings quoted in the future window are observed supply — not demand, bookings, or occupancy.
3-day price distribution history ⟲ complete days only
Median and middle 80% of observed daily prices · up to 14 verified days · fresh listing counts below
14 verified observation days · gaps stay visible. Last complete day: . Supported observations enter history after the market day closes.
Hover, focus or tap a point to inspect the observation.
View 14-day data table
| Complete day | p10 | Median | p90 | Listings | Fresh listings |
|---|---|---|---|---|---|
| Sep 21 | $81.40 | $108.83 | $230.17 | 92 | 92 |
| Sep 22 | $80.52 | $102.58 | $213.37 | 92 | 92 |
| Sep 24 | $80.98 | $98.67 | $204.63 | 90 | 90 |
| Sep 26 | $82.10 | $101.83 | $215.30 | 99 | 99 |
| Sep 27 | $83.67 | $102.33 | $212.67 | 99 | 99 |
| Sep 28 | $80.92 | $102.33 | $209.67 | 96 | 96 |
| Sep 30 | $83.55 | $105.17 | $214.92 | 82 | 82 |
| Oct 3 | $87.17 | $110.33 | $180.17 | 86 | 86 |
| Oct 4 | $88.17 | $114.50 | $197.07 | 88 | 88 |
| Oct 5 | $83.07 | $114.67 | $199.53 | 89 | 89 |
| Oct 10 | $86.97 | $104.75 | $222.63 | 80 | 80 |
| Oct 12 | $84.05 | $103.50 | $220.67 | 90 | 90 |
| Oct 13 | $83.60 | $102.33 | $220.07 | 89 | 89 |
| Oct 15 | $83.13 | $104.17 | $223.38 | 80 | 80 |
Read See how observed prices changed. Early history appears after two verified days and builds to fourteen.
method & limits
Plots p10, median, and p90 of listing-level $/day, plus fresh listings seen, across complete supported observation days only. Missing days break the line. The band is the middle 80% of listing-level values; listing counts are supply observed in our quote window — not demand, bookings, occupancy, or a forecast.
Same-listing price movement over time ⟲ 3-day market index
Same listings, pickup dates and trip lengths · one point per observed day
Last plotted observation: . The Oct 18 comparison is unavailable; it needs two supported observations.
Hover, focus or tap a point to inspect the observation.
View market-index evidence
| Day | Status | Level | Period change | 95% bootstrap interval | Matched listings | Matched trip prices | Support evidence |
|---|---|---|---|---|---|---|---|
| Sep 18 | Unavailable | — | — | — | 94 | 736 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 19 | Unavailable | — | — | — | 93 | 593 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 20 | Unavailable | — | — | — | 90 | 532 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 21 | Unavailable | — | — | — | 90 | 665 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 22 | Reset | 100.00 | 0.0% | 0.0% to 0.0% | 90 | 595 | 1-day interval · 95.3% fresh · market-index-2.0 · Index rebased to 100 at its first supported point, after an unsupported interval, or after a gap longer than seven days. |
| Sep 23 | Unavailable | — | — | — | 87 | 480 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 24 | Unavailable | — | — | — | 80 | 386 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 25 | Unavailable | — | — | — | 87 | 480 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 26 | Unavailable | — | — | — | 95 | 621 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 27 | Reset | 100.00 | 0.0% | 0.0% to 0.0% | 98 | 864 | 1-day interval · 97.6% fresh · market-index-2.0 · Index rebased to 100 at its first supported point, after an unsupported interval, or after a gap longer than seven days. |
| Sep 28 | Supported | 100.00 | 0.0% | 0.0% to 0.0% | 94 | 774 | 1-day interval · 96.8% fresh · market-index-2.0 |
| Sep 29 | Unavailable | — | — | — | 83 | 549 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Sep 30 | Unavailable | — | — | — | 80 | 537 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 1 | Unavailable | — | — | — | 73 | 385 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 2 | Unavailable | — | — | — | 71 | 377 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 3 | Unavailable | — | — | — | 79 | 475 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 4 | Reset | 100.00 | 0.0% | 0.0% to 0.0% | 85 | 562 | 1-day interval · 95.8% fresh · market-index-2.0 · Index rebased to 100 at its first supported point, after an unsupported interval, or after a gap longer than seven days. |
| Oct 5 | Supported | 100.00 | 0.0% | 0.0% to 0.0% | 86 | 581 | 1-day interval · 96.7% fresh · market-index-2.0 |
| Oct 6 | Unavailable | — | — | — | 84 | 577 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 7 | Unavailable | — | — | — | 82 | 435 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 8 | Unavailable | — | — | — | 84 | 422 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 10 | Unavailable | — | — | — | 73 | 359 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 11 | Unavailable | — | — | — | 70 | 419 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 12 | Unavailable | — | — | — | 78 | 559 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 13 | Reset | 100.00 | 0.0% | 0.0% to 0.0% | 88 | 752 | 1-day interval · 96.1% fresh · market-index-2.0 · Index rebased to 100 at its first supported point, after an unsupported interval, or after a gap longer than seven days. |
| Oct 14 | Unavailable | — | — | — | 84 | 540 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 15 | Unavailable | — | — | — | 66 | 298 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 16 | Unavailable | — | — | — | 76 | 358 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 17 | Unavailable | — | — | — | 73 | 330 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
| Oct 18 | Unavailable | — | — | — | 76 | 481 | Daily reference does not have complete, cap-free market coverage. · market-index-2.0 |
Read See how prices moved for the same cars, with fleet changes removed from the comparison.
method & limits
Chains matching listing, pickup-date and trip-length prices across recorded observation days using the listing-equal median log relative. Later observations revise that day’s endpoint; the evidence table gives each actual comparison interval. Each point needs at least 30 matched listings and 95% freshness in both observations; the series resets to 100 after an unsupported interval or a gap longer than seven days, never interpolates, and describes the matched cohort rather than the entire market.
What each added trip day costs ◉ same listing and pickup
Same car and pickup date · adding day N · strict less-than is separated from equality
Listing-equal marginal-day companion is collecting. Quote-window pairs above are not treated as independent listings; distinct listing counts will appear when the producer publishes them.
Hover, focus or tap a point to inspect the observation.
◆ 7 days costs strictly less than 6 for 4.4%; the totals are exactly equal for 0.0% of eligible pairs.
Listing-equal captured-discount distribution is collecting. Legacy quote-level discount points are not promoted into a listing-level claim.
Read The counterintuitive win: near a host discount boundary, one added day can cost almost nothing — sometimes the longer trip totals less.
method & limits
Measures the observed total-price change when one day is added to the same listing and pickup date, with strictly-cheaper/equal weekly splits and listing-equal captured discounts when available. A quote-window pair is listing × pickup date × trip length, so pair counts are not independent listings; the listing-equal companion and discount distribution stay collecting until distinct listing support is published.
Cars quoting each forward pickup day ◉ observed supply
Distinct listings quoting a 3-day trip per forward pickup date · supply observed in our quote window — not demand, bookings, or occupancy
Tap or focus a bar to see its pickup lead and exact listing count. Gaps mean unsupported dates.
Between 25 and 71 listings quote each supported forward pickup date in the latest observation.
Read How deep the bookable pool is on each forward date — a shallow date means fewer cars to compare, not necessarily higher prices.
method & limits
Counts distinct listings quoting the selected trip length for each forward pickup date in the latest observation, on dates that clear the shared support gate. Observed supply in our quote window only — never demand, bookings, occupancy, or a forecast; dates below the support floor are omitted rather than shown as zero.
Cross-market price gap ◉ 3d matched segments
Same Tesla model in ORD and LAX · each market independently requires 30 listings and 95% freshness
| Tesla model | ORD | LAX | LAX − ORD |
|---|---|---|---|
| Model 3 | $108.67/day$101.67–$116.00 · 37 listings | $109/day$106.17–$116.17 · 106 listings | +$0.33/day+0.3% · rough comparison — no uncertainty range for this percentage |
| Model Y | $116.17/day$100.67–$130.00 · 35 listings | $127.17/day$121.33–$138.00 · 150 listings | +$11/day+9.5% · rough comparison — no uncertainty range for this percentage |
Read Same model, two cities — a quick check on which market quotes the cohort lower before you anchor on one quote.
method & limits
Compares current typical listing prices for the same Tesla model between ORD and LAX; each market independently requires 30 listings and 95% freshness. A descriptive market gap, not arbitrage; each market’s median has its own interval, and the displayed percentage ratio has none and is not a precise estimated effect.
// EVIDENCEreputation and badge associations · model-adjusted price factors · repricing activity — supporting context for the surfaces above
Price by listing history and badge ◉ 3-day trips
Selected-duration listing-equal associations · not demand, bookings, host earnings, or causal effects
Pooled model-adjusted association: +0.5% (95% interval -5.9% to 7.3%). Raw and adjusted estimates answer different questions.
Ratings are a noisy signal — retaliatory and erroneous reviews exist, and a 0 rating means never rated, not zero stars. Weigh any observed reputation premium accordingly.
Read What a longer track record sells for today — decide whether a proven listing is worth its observed premium to you.
method & limits
Groups current typical listing prices by completed trips on the listing, plus the separately gated share carrying an observed All-Star badge. Associations only — not review quality, host quality, or causal reputation effects; the badge-share denominator has its own support gate, and raw price gaps require both cohorts to be supported.
Price factors after controlling for the others validated on separate listings
Full-fit, distance-neutral associations shown only after listing-holdout validation · not causes
Left of zero means lower quoted prices; right means higher. Every bar uses the same scale.
Read The search filters that genuinely travel with price, separated from the knobs that mostly don’t move it.
method & limits
Shows which factors remain associated with price after the fitted Tesla model accounts for the other included variables, with accuracy reported on listings excluded from fitting. Model associations, not causes; held-out R² is the share of held-out price variation explained, typical multiplicative miss is the typical proportional prediction error, and Luxury remains unavailable until separately validated.
How often listings change price ⟲ newest 28 qualifying days
Listing changes ÷ listing comparisons · changed quote-comparison up/down share · selected inside a 90-day lookback
| Days until pickup | Listings repriced | Listing comparisons | Activity rate | Changed quote comparisons |
|---|---|---|---|---|
| 0–2d | 1,491 | 16,330 | 9.1%28 newest qualifying days | 34.0% down · 66.0% up21,610 changed quote-window comparisons |
| 3–6d | 2,064 | 19,945 | 10.3%28 newest qualifying days | 31.6% down · 68.4% up36,954 changed quote-window comparisons |
| 7–13d | 2,512 | 31,782 | 7.9%28 newest qualifying days | 56.3% down · 43.7% up63,393 changed quote-window comparisons |
| 14–20d | 8,720 | 38,450 | 22.7%28 newest qualifying days | 41.5% down · 58.5% up164,695 changed quote-window comparisons |
| 21–29d | 12,227 | 43,711 | 28.0%28 newest qualifying days | 42.4% down · 57.6% up286,190 changed quote-window comparisons |
| 30–44d | 15,884 | 50,909 | 31.2%28 newest qualifying days | 50.4% down · 49.6% up707,295 changed quote-window comparisons |
| 45d+ | 16,456 | 52,914 | 31.1%28 newest qualifying days | 49.9% down · 50.1% up790,035 changed quote-window comparisons |
Read If your lead-time bucket reprices often, yesterday’s quote may already be gone — recheck before deciding.
method & limits
Counts how often supported listings changed price within each pickup-lead bucket, and whether changed quote-window comparisons moved down or up. Repricing activity only — not a typical move magnitude, demand, or a recommendation to wait; each bucket needs 28 qualifying days within the latest 90-day lookback.