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...
Online Status
Online
Server IP address resolved: Yes
Http response code: 200
Response time: 0.32 sec.
Last Checked: 01/22/2025
Formula1.com attracts 62,964 unique visitors daily, generating 174,411 pageviews. The estimated value of formula1.com is 2,291,747 USD. Each visitor views approximately 2.96 pages on average.
According to Majestic's traffic estimates, formula1.com ranks 1,993 globally, with the majority of its visitors coming from United States, where it holds the 5,721 position.
Formula1.com is hosted by AMAZON-02 - Amazon.com, Inc., US in United Kingdom; however, migrating the server to United States could further improve page load times for the majority of users.
See the list of other websites hosted by AMAZON-02 - Amazon.com, Inc., US.
Formula1.com is registered with the .COM top-level domain. Explore additional websites within the .COM zone.
A recent examination on (October 13, 2024), indicates that formula1.com has an expired SSL certificate issued by Amazon (expired on January 19, 2025). Click the "Refresh" button in the Safety Information section for updated SSL details. See the list of websites using SSL certificates issued by Amazon.
According to Google Safe Browsing, Google Safe Search, Symantec and Web of Trust formula1.com appears to be a safe domain.
Based on Google's Mobile-Friendly test, formula1.com is optimized for mobile and tablet devices, although the web page loading speed could be improved.
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% |
Overview
Last Updated: 01/22/2025
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.
Formula1.com | SSL Certificate 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 |
Server Location
Formula1.com ASN Information
ASN ID: 16509
ASN Title: AMAZON-02 - Amazon.com, Inc., US
Last Update: 07/07/2024
ASN Whois
#
# 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.
#
WHOIS
Domain 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
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”.
Last tested: 12/02/2019
Desktop
Desktop Speed
52%
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 |
Last tested: 12/02/2019
Mobile
Mobile Usability
99%
Size tap targets appropriately
Mobile Speed
40%
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 |
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