On June 25, 2026, Tesla began rolling out forecasted stall availability to eligible EVs with Google Maps built in, showing predicted open stalls at arrival time rather than just current availability. The feature is powered by a Tesla machine learning model trained on 9 million miles of aggregated vehicle trajectory...

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If you drive an EV, you know the stress of pulling up to a Supercharger only to find every stall taken. Tesla's latest update aims to eliminate that uncertainty by bringing forecasted stall availability to Google Maps—so you can see, before you arrive, how many stalls will likely be free when you get there.
On June 25, 2026, Tesla announced via its @TeslaCharging account that forecasted stall availability is rolling out globally to eligible EVs with Google Maps built-in . The feature predicts the number of Supercharger stalls that will be open when a driver arrives at a station—not just how many are free right now. Drivers must opt in to access predictions and contribute data that helps optimize charging for everyone
.
On November 11–12, 2025, Tesla opened its API to Google Maps for the first time, enabling live Supercharger stall availability data in Google Maps . This gave all EV drivers—not just Tesla owners—real-time visibility into how many stalls were open at any given moment across North America and Europe
. It marked a major expansion after years of Tesla keeping that data exclusive to its own ecosystem
.
The new forecasted availability goes a step further: it uses Tesla's data modeling to show the expected number of open stalls at the time of arrival . This solves the problem Google itself described in November 2025: "While Maps already shows you if a charger is available right now… it could be in use by the time you get there"
.
Google's own EV charger predictions, rolled out in November 2025 for networks like Electrify America, are based on Google's general crowd-sourced and historical data models . In contrast, Tesla's forecasted availability is powered by Tesla's own machine learning model, trained on 9 million miles of aggregated, anonymized vehicle trajectory data collected within Supercharger geofences worldwide—vastly richer and more precise data for Tesla stations specifically
.
Tesla's native navigation has included predictive elements for years:
In April 2026, Tesla deployed an updated machine learning model across its Supercharger network specifically to improve wait-time and availability predictions . Key details:
Accurate predictions have become increasingly critical as Supercharger demand surges:
The combination of record demand, rapid V4 expansion, and the new ML-powered forecast feature aims to reduce range anxiety and queue frustration for the growing number of EV drivers relying on the Supercharger network.
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On June 25, 2026, Tesla began rolling out forecasted stall availability to eligible EVs with Google Maps built in, showing predicted open stalls at arrival time rather than just current availability.
On June 25, 2026, Tesla began rolling out forecasted stall availability to eligible EVs with Google Maps built in, showing predicted open stalls at arrival time rather than just current availability. The feature is powered by a Tesla machine learning model trained on 9 million miles of aggregated vehicle trajectory data, reducing queue length estimation error to about 20%.
This follows the November 2025 launch of live Supercharger availability on Google Maps, and comes as Tesla's network hit a record 53 million charging sessions in Q1 2026.