Formula1.com F1 - The Official Home of Formula 1® Racing
Enter the world of Formula 1. Your go-to source for the latest F1 news, video highlights, GP results, live timing, in-depth analysis and expert commen...
Formula1.com Overview
When you first visit the Formula1.com website, you will be greeted with an engaging and immersive landing page. The website is the official home of Formula 1® and acts as a go-to source for the latest F1 news, video highlights, GP results, live timing, in-depth analysis, and expert commentary. The website caters to an average of 58,845 unique users per day, with a total page view of 163,000.65. According to website valuation tools, formula1.com has an estimated site value of around $2,141,820 US dollars.
The website is hosted by Amazon.com, Inc. and uses SSL issued by GlobalSign nv-sa. When it comes to child safety, the Formula1.com website is safe and family-friendly - this is a non-issue that parents need not worry about.
A closer look at the website's structure shows a well-organized user interface. The first section showcases current and upcoming races alongside highlights, news, and other relevant content. The next section is a news reel that showcases the latest F1 news updated by the minute. Then, users will find a featured section that prioritizes relevant articles, races, or interviews. These sections give visitors a quick overview of what's happening in the sport.
One of the significant selling points of the Formula1.com website is its in-depth analysis and expert commentary. The website uses a data-driven approach to analyze past, current, and upcoming races, giving users access to exclusive insights on the sport.
The website's information architecture is well-designed and intuitive. The website features a clear navigation system with a menu that guides visitors to different sections of the site, including news, video, teams, live timing, and more. The website also features a search bar that allows users to find specific content easily.
Finally, the website's loading speed is another critical factor that contributes to its overall success. According to PageSpeed Insights, Formula1.com has a speed score of 40, which is lower than what's considered ideal. Therefore, there's a need to improve the website's loading speed to provide a more seamless user experience.
In summary, the Formula1.com website is a well-structured and intuitive platform that caters to F1 fans worldwide. It provides the latest news, in-depth analysis, expert commentary, and LIVE race coverage data-driven by insightful data analytics. While there is room for improvement, the website's current structure showcases an immersive and enjoyable online experience.
Formula1.com Rank Summary
Global Rank
4,180
Average Load Time
1.67sec
Links In Count
4,003
Website Value
$2.1 M
Audience Geography. Where are formula1.com visitors located?
| Country | Visitors |
|---|---|
 United States US | 15.7% |
| United Kingdom GB | 9.1% |
| Japan JP | 5.4% |
| Australia AU | 4.8% |
| Germany DE | 4% |
| Italy IT | 3.9% |
| China CN | 3.7% |
| Canada CA | 3.5% |
| India IN | 3.4% |
| Other | 46.3% |
| Country | Pageviews |
|---|---|
| United States US | 15.4% |
| United Kingdom GB | 8.2% |
| Japan JP | 6.6% |
| Australia AU | 5.2% |
| Canada CA | 4.6% |
| Italy IT | 3.6% |
| India IN | 3.5% |
| Portugal PT | 3.4% |
| Germany DE | 3.3% |
| Other | 46.3% |
| Country | Rank |
|---|---|
| Portugal PT | 731 |
| Norway NO | 1128 |
| Denmark DK | 1190 |
| Netherlands NL | 1272 |
| Australia AU | 1365 |
| Romania RO | 1378 |
| Belgium BE | 1541 |
| Ireland IE | 1557 |
| Bulgaria BG | 1610 |
| Finland FI | 1697 |
| United Kingdom GB | 1738 |
| Serbia RS | 1906 |
Where do visitors go on formula1.com?
| Subdomain | Pageviews |
|---|---|
| formula1.com | 79.31% |
| f1store.formula1.com | 5.28% |
| f1tv.formula1.com | 4.88% |
| account.formula1.com | 4.81% |
| tickets.formula1.com | 3.09% |
| fantasy.formula1.com | 2.5% |
| account-staging.formula1.com | 0.08% |
| other | 0.05% |
| Subdomain | Pageviews per User |
|---|---|
| f1store.formula1.com | 5.1 |
| tickets.formula1.com | 2.7 |
| formula1.com | 2.41 |
| f1tv.formula1.com | 1.9 |
| fantasy.formula1.com | 1.4 |
| account.formula1.com | 1.2 |
| account-staging.formula1.com | 1 |
| Subdomain | Reach |
|---|---|
| formula1.com | 88.13% |
| account.formula1.com | 10.94% |
| f1tv.formula1.com | 7.05% |
| fantasy.formula1.com | 4.91% |
| tickets.formula1.com | 3.07% |
| f1store.formula1.com | 2.75% |
| account-staging.formula1.com | 0.17% |
How popular is formula1.com?
| Period | Global Rank | Global Rank Delta |
|---|---|---|
| past 3 months | 4180 | 509 |
| past month | 5687 | 2482 |
| past week | 2936 | -5247 |
| yesterday | 6439 | 214 |
| Days | Pageviews Rank | Pageviews Rank Delta | Pageviews per Million | Pageviews per Million Delta | Pageviews per User | Pageviews per User Delta |
|---|---|---|---|---|---|---|
| 90 | 5140 | 723 | 147 | -17.35% | 2.77 | -4.15% |
| 30 | 7071 | 3113 | 106 | -44.82% | 2.68 | -5.634% |
| 7 | 3636 | -6865 | 206 | 190% | 2.9 | 10% |
| 1 | 7752 | 797 | 10 | -11.15% | 3 | -9.668% |
| Days | Reach Rank | Reach Rank Delta | Reach per Million | Reach per Million Delta |
|---|---|---|---|---|
| 90 | 4160 | 444 | 197 | -13.94% |
| 30 | 5606 | 2415 | 146 | -41.48% |
| 7 | 2912 | -5083 | 266 | 150% |
| 1 | 6613 | 75 | 130 | -1.59% |
Formula1.com Website Safety
Overview
Last Updated: 12/25/2024
Overall result - formula1.com is safe.
We gather website safety and reputation data and compare it with available third-party sources so we calculate own safety and trustworthiness rate based on information that we get.
We gather website safety and reputation data and compare it with available third-party sources so we calculate own safety and trustworthiness rate based on information that we get.
Norton Connect Safe
Last Updated: 03/21/2024
formula1.com is safe.
Norton ConnectSafe evaluates formula1.com for any unsafe and insecure content. The results are critical for families with young children.
Norton ConnectSafe evaluates formula1.com for any unsafe and insecure content. The results are critical for families with young children.
Google Safe Search
Last Updated: 10/10/2016
formula1.com is safe.
SafeSearch is used as a parental control tool to filter out any inappropriate for your children search results on your devices: phones, tablets or personal computers.
SafeSearch is used as a parental control tool to filter out any inappropriate for your children search results on your devices: phones, tablets or personal computers.
Google Safe Browsing
Last Updated: 01/09/2019
formula1.com is safe.
Malware: not found.
Phishing: not detected.
Unwanted software: not found.
Harmfull applications: not found.
Google Safe Browsing notifies when websites are compromised by malicious actors. These protections work across Google products and provide a safer online experience.
Malware: not found.
Phishing: not detected.
Unwanted software: not found.
Harmfull applications: not found.
Google Safe Browsing notifies when websites are compromised by malicious actors. These protections work across Google products and provide a safer online experience.
Site Advisor
Last Updated: 02/22/2021
formula1.com is safe.
McAfee assesses formula1.com for a meaningful set of security threats. Featured dangers from annoying pop-ups to hidden Trojans, that can steal your identity, will be revealed. McAfee does not analyze formula1.com for mature or inappropriate content, only security checks are evaluated.
McAfee assesses formula1.com for a meaningful set of security threats. Featured dangers from annoying pop-ups to hidden Trojans, that can steal your identity, will be revealed. McAfee does not analyze formula1.com for mature or inappropriate content, only security checks are evaluated.
Web of Trust
Last Updated: 01/09/2019
formula1.com child safety is
very good.
The WOT calculates reputation of the formula1.com. This reputation system receives ratings from users and information from third-party sources, assesses the formula1.com for safety features and confirms, whether formula1.com is suitable for children.
The WOT calculates reputation of the formula1.com. This reputation system receives ratings from users and information from third-party sources, assesses the formula1.com for safety features and confirms, whether formula1.com is suitable for children.
SSL Information
| Domain | formula1.com |
| Issuer Organization | Amazon |
| Issuer | Amazon RSA 2048 M02 |
| Algorithm | RSA-SHA256 |
| Valid form | 12/22/2023 |
| Expiration | 01/19/2025 |
| Signed | Certificate is not self signed |
| Additional Domains |
formula1.com |
Formula1.com Rank History
Alexa Rank shows how popular formula1.com is in comparison with other sites. The most popular site has Alexa Rank equals 1. If formula1.com has Alexa Rank equals 100,000, then it is in TOP 100,000 popular sites in the world. The rank is calculated using a combination of average daily visitors to formula1.com and pageviews on formula1.com over the past 3 months.
Formula1.com Hosting Information
Server Location
ASN Information
ASN ID: 16509
ASN Title: AMAZON-02 - Amazon.com, Inc., USLast Update: 07/07/2024
#
# ARIN WHOIS data and services are subject to the Terms of Use
# available at: https://www.arin.net/whois_tou.html
#
# If you see inaccuracies in the results, please report at
# https://www.arin.net/resources/whois_reporting/index.html
#
# Copyright 1997-2018, American Registry for Internet Numbers, Ltd.
#
ASNumber: 16509
ASName: AMAZON-02
ASHandle: AS16509
RegDate: 2000-05-03
Updated: 2012-03-02
Ref: https://rdap.arin.net/registry/autnum/16509
OrgName: Amazon.com, Inc.
OrgId: AMAZON-4
Address: 1918 8th Ave
City: SEATTLE
StateProv: WA
PostalCode: 98101-1244
Country: US
RegDate: 1995-01-23
Updated: 2017-01-28
Ref: https://rdap.arin.net/registry/entity/AMAZON-4
OrgAbuseHandle: AEA8-ARIN
OrgAbuseName: Amazon EC2 Abuse
OrgAbusePhone: +1-206-266-4064
OrgAbuseEmail: abuse@amazonaws.com
OrgAbuseRef: https://rdap.arin.net/registry/entity/AEA8-ARIN
OrgTechHandle: ANO24-ARIN
OrgTechName: Amazon EC2 Network Operations
OrgTechPhone: +1-206-266-4064
OrgTechEmail: amzn-noc-contact@amazon.com
OrgTechRef: https://rdap.arin.net/registry/entity/ANO24-ARIN
RTechHandle: AC6-ORG-ARIN
RTechName: Amazon-com Incorporated
RTechPhone: +1-206-266-2187
RTechEmail: ipmanagement@amazon.com
RTechRef: https://rdap.arin.net/registry/entity/AC6-ORG-ARIN
#
# ARIN WHOIS data and services are subject to the Terms of Use
# available at: https://www.arin.net/whois_tou.html
#
# If you see inaccuracies in the results, please report at
# https://www.arin.net/resources/whois_reporting/index.html
#
# Copyright 1997-2018, American Registry for Internet Numbers, Ltd.
#
Formula1.com Domain Registration and Settings
WHOIS
Domain Name: FORMULA1.COM
Registry Domain ID: 5135973_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.comlaude.com
Registrar URL: http://www.comlaude.com
Updated Date: 2024-03-10T23:07:57Z
Creation Date: 1999-04-09T04:00:00Z
Registry Expiry Date: 2025-04-09T04:00:00Z
Registrar: Nom-iq Ltd. dba COM LAUDE
Registrar IANA ID: 470
Registrar Abuse Contact Email: abuse@comlaude.com
Registrar Abuse Contact Phone: +442074218250
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Domain Status: serverDeleteProhibited https://icann.org/epp#serverDeleteProhibited
Domain Status: serverTransferProhibited https://icann.org/epp#serverTransferProhibited
Domain Status: serverUpdateProhibited https://icann.org/epp#serverUpdateProhibited
Name Server: DNS1.COMLAUDE-DNS.COM
Name Server: DNS2.COMLAUDE-DNS.NET
Name Server: DNS3.COMLAUDE-DNS.CO.UK
Name Server: DNS4.COMLAUDE-DNS.EU
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of whois database: 2024-09-09T11:41:17Z
DNS Records
| Host | A Record | TTL |
|---|---|---|
| formula1.com | 80.231.178.248 | 300 |
| formula1.com | 195.219.248.104 | 300 |
| Host | MX Record | Priority | TTL |
|---|---|---|---|
| formula1.com | eu-smtp-inbound-2.mimecast.com | 10 | 300 |
| formula1.com | eu-smtp-inbound-1.mimecast.com | 10 | 300 |
| Host | NS Record | TTL |
|---|---|---|
| formula1.com | dns1.comlaude-dns.com | 300 |
| formula1.com | dns2.comlaude-dns.net | 300 |
| formula1.com | dns3.comlaude-dns.co.uk | 300 |
| formula1.com | dns4.comlaude-dns.eu | 300 |
| Host | TXT Record | TTL |
|---|---|---|
| formula1.com | google-site-verification=1AmCEr3B1NdRtgIdIIqWCIw-bVXPdhClG-VXXTZZYMo | 300 |
| formula1.com | C3NVWlNeD2Os1EtyvLDuaFAviuxTTzZxtpwHmdQZ+sU= | 300 |
| formula1.com | facebook-domain-verification=ftrjzgr3iiw25bw1aq50ryu0nat12t | 300 |
| formula1.com | v=spf1 a mx include:gootickets.com include:eu._netblocks.mimecast.com include:servers.mcsv.net include:mail.zendesk.com include:aspmx.sailthru.com ~all | 300 |
| formula1.com | wqQKGIFRDXHfXRqiSRiJNxeHYOkqpuLz0fumvD4Xuyw= | 300 |
| formula1.com | google-site-verification=c5YbhVdOMnYwFVLGB-Rkz8A6aX1hxzxgSKu0Ch0xBaA | 300 |
dns1.comlaude-dns.com
TTL: 300
Email address: hostmaster.comlaude.com
Serial: 2019072933
Refresh: 86400
Retry: 7200
Expire: 2419200
Minimum: 3600
Formula1.com HTML Check
Warnings
Consider avoiding viewport values that prevent users from resizing documents.
The “navigation” role is unnecessary for element “nav”.
The “main” role is unnecessary for element “main”.
Section lacks heading. Consider using “h2”-“h6” elements to add identifying headings to all sections.
Article lacks heading. Consider using “h2”-“h6” elements to add identifying headings to all articles.
Empty heading.
Errors
Element “meta” is missing one or more of the following attributes: “content”, “property”.
Bad value “100%” for attribute “height” on element “iframe”: Expected a digit but saw “%” instead.
Bad value “100%” for attribute “width” on element “iframe”: Expected a digit but saw “%” instead.
The “frameborder” attribute on the “iframe” element is obsolete. Use CSS instead.
An “img” element must have an “alt” attribute, except under certain conditions. For details, consult guidance on providing text alternatives for images.
Bad value “Mar 24 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 26 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 24 2017 13:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 24 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 24 2017 17:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 25 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 25 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 25 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Mar 25 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
The text content of element “time” was not in the required format: The literal did not satisfy the time-datetime format.
Bad value “Apr 07 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 09 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 07 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 07 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 07 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 08 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 08 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 08 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 08 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 14 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 16 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 14 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 14 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 14 2017 19:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 15 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 15 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 15 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 15 2017 19:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 28 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 30 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 28 2017 12:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 28 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 28 2017 16:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 29 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 29 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 29 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Apr 29 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 12 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 14 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 12 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 12 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 12 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 13 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 13 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 13 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 13 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 25 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 28 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 25 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 25 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 25 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 27 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 27 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 27 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “May 27 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 09 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 11 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 09 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 09 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 09 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 10 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 10 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 10 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 10 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 23 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 25 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 23 2017 14:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 23 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 23 2017 18:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 24 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 24 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 24 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jun 24 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 07 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 09 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 07 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 07 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 07 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 08 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 08 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 08 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 08 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 14 2017 09:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 16 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 14 2017 10:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 14 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 14 2017 14:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 15 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 15 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 15 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 15 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 28 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 30 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 28 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 28 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 28 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 29 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 29 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 29 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Jul 29 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 25 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 27 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 25 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 25 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 25 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 26 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 26 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 26 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Aug 26 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 01 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 03 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 01 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 01 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 01 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 02 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 02 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 02 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 02 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 15 2017 16:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 17 2017 20:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 15 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 15 2017 20:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 15 2017 22:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 16 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 16 2017 19:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 16 2017 21:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 16 2017 22:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 29 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 01 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 29 2017 12:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 29 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 29 2017 16:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 30 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 30 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 30 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Sep 30 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 06 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 08 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 06 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 06 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 06 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 07 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 07 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 07 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 07 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 20 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 22 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 20 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 20 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 20 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 21 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 21 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 21 2017 16:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 21 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 27 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 29 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 27 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 27 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 27 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 28 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 28 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 28 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Oct 28 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 10 2017 10:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 12 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 10 2017 11:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 10 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 10 2017 15:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 11 2017 11:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 11 2017 12:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 11 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 11 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 24 2017 13:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 26 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 24 2017 14:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 24 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 24 2017 18:30” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 25 2017 14:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 25 2017 15:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 25 2017 17:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “Nov 25 2017 18:00” for attribute “datetime” on element “time”: The literal did not satisfy the time-datetime format.
Bad value “extra-links” for attribute “role” on element “nav”.
End tag “div” seen, but there were open elements.
Unclosed element “footer”.
Stray end tag “footer”.
Stray end tag “div”.
Formula1.com Desktop Performance
Last tested: 12/02/2019
Desktop Speed
Optimize images
Leverage browser caching
Eliminate render-blocking JavaScript and CSS in above-the-fold content
Prioritize visible content
Minify CSS
Enable compression
Minify HTML
Desktop Resource Breakdown
| Total Resources | 155 |
| Number of Hosts | 45 |
| Static Resources | 89 |
| JavaScript Resources | 40 |
| CSS Resources | 2 |
Formula1.com Mobile Insights
Last tested: 12/02/2019
Mobile Usability
Size tap targets appropriately
Mobile Speed
Eliminate render-blocking JavaScript and CSS in above-the-fold content
Optimize images
Leverage browser caching
Prioritize visible content
Minify CSS
Enable compression
Minify HTML
Mobile Resource Breakdown
| Total Resources | 148 |
| Number of Hosts | 44 |
| Static Resources | 86 |
| JavaScript Resources | 40 |
| CSS Resources | 2 |
Formula1.com Similar Audits
Formula1.com Common Typos
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