Tools & Wizards About Us
statsprofessor.org screenshot

Report Summary

  • 27

    Performance

    Renders faster than
    46% of other websites

  • 53

    Accessibility

    Visual factors better than
    that of 22% of websites

  • 50

    Best Practices

    More advanced features
    available than in
    19% of websites

  • 82

    SEO

    Google-friendlier than
    44% of websites

statsprofessor.org

Stats Professor | NFL Stats Against The Spread Trends

Page Load Speed

5.2 sec in total

First Response

92 ms

Resources Loaded

3.6 sec

Page Rendered

1.6 sec

statsprofessor.org screenshot

About Website

Welcome to statsprofessor.org homepage info - get ready to check Stats Professor best content right away, or after learning these important things about statsprofessor.org

NFL Statistics and analysis you will not find anywhere else. Get the edge you have been missing and enhance your sports handicapping decisions

Visit statsprofessor.org

Key Findings

We analyzed Statsprofessor.org page load time and found that the first response time was 92 ms and then it took 5.1 sec to load all DOM resources and completely render a web page. This is a poor result, as 75% of websites can load faster.

Performance Metrics

statsprofessor.org performance score

27

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value3.7 s

29/100

10%

LCP (Largest Contentful Paint)

Value4.5 s

36/100

25%

SI (Speed Index)

Value14.3 s

1/100

10%

TBT (Total Blocking Time)

Value21,280 ms

0/100

30%

CLS (Cumulative Layout Shift)

Value0.018

100/100

15%

TTI (Time to Interactive)

Value34.6 s

0/100

10%

Network Requests Diagram

statsprofessor.org

92 ms

www.statsprofessor.org

122 ms

www.statsprofessor.org

224 ms

2975350028-css_bundle_v2.css

39 ms

jquery.min.js

69 ms

Our browser made a total of 90 requests to load all elements on the main page. We found that 4% of them (4 requests) were addressed to the original Statsprofessor.org, 11% (10 requests) were made to 2.bp.blogspot.com and 11% (10 requests) were made to Googleads.g.doubleclick.net. The less responsive or slowest element that took the longest time to load (1.2 sec) relates to the external source 2.bp.blogspot.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 361.6 kB (31%)

Content Size

1.1 MB

After Optimization

788.0 kB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Statsprofessor.org main page is 1.1 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 75% of websites need less resources to load and that’s why Accessify’s recommendations for optimization and resource minification can be helpful for this project. Images take 534.9 kB which makes up the majority of the site volume.

HTML Optimization

-81%

Potential reduce by 130.6 kB

  • Original 162.0 kB
  • After minification 160.4 kB
  • After compression 31.4 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 130.6 kB or 81% of the original size.

Image Optimization

-9%

Potential reduce by 49.3 kB

  • Original 534.9 kB
  • After minification 485.6 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Stats Professor images are well optimized though.

JavaScript Optimization

-41%

Potential reduce by 181.7 kB

  • Original 438.4 kB
  • After minification 334.9 kB
  • After compression 256.8 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 181.7 kB or 41% of the original size.

CSS Optimization

-0%

Potential reduce by 3 B

  • Original 14.3 kB
  • After minification 14.3 kB
  • After compression 14.3 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Statsprofessor.org has all CSS files already compressed.

Requests Breakdown

Number of requests can be reduced by 31 (41%)

Requests Now

75

After Optimization

44

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 75 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Stats Professor. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 24 to 1 for JavaScripts and from 4 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

statsprofessor.org

statsprofessor.org

92 ms

www.statsprofessor.org

www.statsprofessor.org

122 ms

www.statsprofessor.org

www.statsprofessor.org

224 ms

2975350028-css_bundle_v2.css

2975350028-css_bundle_v2.css

39 ms

jquery.min.js

jquery.min.js

69 ms

adsbygoogle.js

adsbygoogle.js

543 ms

platform.js

platform.js

265 ms

epn-smart-tools.js

epn-smart-tools.js

1032 ms

4150139458-widgets.js

4150139458-widgets.js

38 ms

ga.js

ga.js

392 ms

1.js

1.js

111 ms

white-background-1.38.0.1024.768.1024.768.c.png

white-background-1.38.0.1024.768.1024.768.c.png

467 ms

logo7.png

logo7.png

574 ms

collegebasketballats.png

collegebasketballats.png

584 ms

rsz_signature.png

rsz_signature.png

456 ms

tvcontractsrevenue.png

tvcontractsrevenue.png

647 ms

averagesalary.png

averagesalary.png

462 ms

btc-usd%E2%80%9D

btc-usd%E2%80%9D

270 ms

twitter%20follow%20me.png

twitter%20follow%20me.png

461 ms

revenuesports.png

revenuesports.png

719 ms

numberofrussiansplayinginthenhl.png

numberofrussiansplayinginthenhl.png

1152 ms

howoftendoeslinemovematter17.bmp

howoftendoeslinemovematter17.bmp

1152 ms

w2b_home.png

w2b_home.png

804 ms

numberofrussiansplayinginthenhl.png

numberofrussiansplayinginthenhl.png

901 ms

revenuesports.png

revenuesports.png

803 ms

sharpspublic17.bmp

sharpspublic17.bmp

1150 ms

howoftendoeslinemovematter17.bmp

howoftendoeslinemovematter17.bmp

1149 ms

collegebasketballats.png

collegebasketballats.png

1151 ms

authorization.css

authorization.css

266 ms

ticketprices.png

ticketprices.png

875 ms

nflstrengthofschedule.jpg

nflstrengthofschedule.jpg

1148 ms

russiansdraftedbynhl.png

russiansdraftedbynhl.png

808 ms

w2b_next.png

w2b_next.png

807 ms

nflstrengthofschedule.jpg

nflstrengthofschedule.jpg

1149 ms

rsz_rss_apples_128.png

rsz_rss_apples_128.png

716 ms

subscribemail.png

subscribemail.png

568 ms

footer_submit_button.gif

footer_submit_button.gif

266 ms

averagevalueofsportsteams.png

averagevalueofsportsteams.png

1149 ms

usavsrussiannhlplayers.png

usavsrussiannhlplayers.png

1149 ms

juniorcomputer2.jpg

juniorcomputer2.jpg

1150 ms

cb=gapi.loaded_0

cb=gapi.loaded_0

222 ms

google_top_exp.js

google_top_exp.js

256 ms

like.php

like.php

459 ms

share_buttons_20_3.png

share_buttons_20_3.png

192 ms

__utm.gif

__utm.gif

68 ms

authorization.css

authorization.css

145 ms

navbar.g

navbar.g

79 ms

show_ads_impl.js

show_ads_impl.js

141 ms

zrt_lookup.html

zrt_lookup.html

272 ms

icons_gray.png

icons_gray.png

269 ms

platform:gapi.iframes.style.common.js

platform:gapi.iframes.style.common.js

81 ms

arrows-black.png

arrows-black.png

352 ms

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3_bXvdojNDveiu_oBTbPy2wLGZpUpXSReHYqqVShPJk11EYpXNitRFYj44W5hEFPKEYSWaWhHmz30OHuYEYsc-sJrku6lSR3erXEgaQMoSbQzXmzhBDWHZTvYjHfpNNwZ8y1D8K1XxbujuTcy0_qhwck33x57L4AdCZ0g7U66nfiy_bOw39EfawPOs2Rtl_m3a274LQ7kB6krlL1RcbUTe_fa_tWKjBH_j8GcpnNEl-oEKskefml5RakAFrQl1lKtmK0uUSa6U_um0maVaPM7Om1nToX7dbJhpVxB9PXqifhiEcblMCgyVgKSayhJhkRqI27HIfqF5KeHqeYHeCRyPBHet0cCWqDR-HpVAU1nVjoh7sGuCNm4EYgit1ZiiT4-Phnh8ycFTaHk3Zo5Fm_FnfsJRJ0d6ZJ87eDE1U_qJ7VU2XhwEKjLyqGWkah9cG48b27AjRPNzORSHHsOROfgNer1fdQq9wYtp9lsj4iP3pV_2-zMV4rnzbD1hSpnGneCsZ1osrgBaKpslj2RPE1d3D5-AYdHvJ8tScM-pejVWx7xN3qbsMJ_ddMGJ3y78x1P9mskKFvMzL7XAS21eK66485-swYtRlu1cWIZR-JuJSRKdtJesPKX7HVQmvwm_JHF9oHKltOQhXxpfYnRsX9WUQE3ZW4J3AjSmeDQjpz98bZBcihoJ2giC9BxloaH3nEcKAl9Jn8kjRl0JkNK10IXB2j0szZ98qoq_It2lgx8Qm8pt84uxxct3snREX8Lx33641fUrJS9C5VxZRCJyctzOvn_TVoWIFM5nULp0uPR-8fFyCl7mJuYXugIHx5OQbwQirAoZCzD_Ovr6_pQFn_Nu_Vx5Hx14-4UNEDrmH3YaSM1XjY7nsGaIvUBL9uOikWc4WXWpOSvKBsFg5mwu1_mS2onnMfPwjZNxKTg4w6acgv7qj8wFADeq0xDFkgpFWOrPqjql4rZL5ihAjzKuKtqPGP8vhgeFouxCSN1jVGYxaQReNP1vCPHwFlvk6bVtOfixreyrAsxGB0K2m8KMjjiPSd_kvrsRVJhhNq9z3mf1KiKyPbMed_DYuis4F3la1PNrN4kXHccK-G0EZRoBMBxwY1B4MUGlhowSVIS1JofG-bwyJVM34zAnmMoKGkHrPDBMMpz9y7srhRmiQ6v2YB2TsHSkXeTJ9Gn6ZvPXTNPmZY6NxuWtGmZEaQ0Xor-sr_OCSe0Ne5mqHcnHqm8rM34NNMk3h6CsFwXC5SclK30u0rOf1zoJQVXZBE8_53wcTa65oToNLhkj656ctvzuhleOqwZn6GbzemGeCw55_lx322CqP32mAGj34a0T0iYjKNw6jM_BE2IB_WOcv2e9TvRL6ULIug7Mxx43czCFNmBszn1gXWqfsO8jTwVtTlGGFFzAtUWo_KkHJ8zhYPNtP0qY8RyBAtXkAC5z0vM03aFk3Kwn_wZDM3Hc5g2QzBih3SXM0rbMAEkbRiO3-M9dzl8yUkWmY5eg5kd7YPjVAzeVulVLnnA9IeaeurlFkU1ns4JiQCJr5OOLYvndxwdCTraJjKNSA2U2NMexTcl_VGNLWLRxGtGGH7Cy2UQdYPpIbbVEpvjPTRSv51-lWD04OjPJot3gdmYcrZtmcL2u4A80exTvOdnRVlf34qkwcwPU8RdmXG8vqPFz_iGb_6ygb3VXg6du7SXPReQO91C20kzOYS0nOB0PkOgDc4O11F2l5vvsdRRv8PxK9FqPNVbzcii9-p7BEKrMkc149TMT-j8luOyDSyjpVKILk8p08SBDBr-cAUwuxN8ExaKwXBp8qSjnaPpXVhbJykcESfF8_Ik2Ja5n0gV6K2_Plbnfd67mnwrNDj9zeMXuOkH3TLmjuovzPDH9cWVJdNBaJoFNjnEKeA3apLnDHcGTB_EGQz4itOSMsOy2m77XcVbxDZ2aRydKt0_gUL7FaYEs7777RT5ga-RoPsv8aWFskw7psiXrfutVMymODEOHH9PO_sklbeMT8nv_qvJ2Gk2F-PqkcBKLzgmQXEHT73MNv2-Rg5dbuVepK-fq2t9zhKeMMCEz2xJ-gFJCUKsXSjKn8ba5ST0l6xlyrp00OpisrpLSRVCv3N0cpkuAAYKZJSt59gGFTWq8UTspn-2WW2TXbqp31tQDoed6dw3jmDCYxG6B_W4fMHvnGBVl89gNZVkWCE0gqohg7LPZyrWkOe2uzkI_hx_aIS7T_HOduCejasXQK7s7vD-72H_36v_3M0SzbcnTSoiMwUmLDTTbugnjJqDwv8QHbvgl8DOHWzKZXp2NdavMmHrU7T05E-uoISqye4pbgk-sM7hktToAIAS6BcnluiKUP1ziro4sILv_n95nGeQNSAIwMuiJtRL45VAnu4F4_i9HCNXiJX4vh61qnekrqofg3nxkH62ToFm71MOFknOJDA2e2_7rs03c_hVtBPR35t7qsuIMDfkO9cLBuYiX5-PnAw_OhC7FeilVNrsl_GfVTlYBt8lTuQTZ-J9i5cCDsxYTlJhKx-SNAo0oSx9tBtwxr3H38qIXBhsN5wHKlqp12HKaWJlyWw2a2tmRGdxRUha3X4Hi54YY_-BmydjsOLcwzNfRnq6AMe3Ru7UxION9vNmKDAEokKJl1P1E3SLCKKn9NrCfd-yvQTfdhIUGYWuUrny9FqCT3i4nk3DEkPwDzZDzlg2-utjqTgsov_1-JVlhdGVa5ubjR7RlwJBGPZNLqjHVXnsiOncMccIZr0KBQmfQIALAYvMZi2d_eAgfnPyKbLiB16bvMI2CVhyp_VNWFD6bKzJBGt62cIcH1-K-gOWOklCeAIf9De7DI-6zy-xJrXBjdSbari1xb6ofH_XFW0PGDetRMD617wdWNlPmRgo0O8y20fGeQvo-4a4zWjUpDPMjNpNO4IdiXJFCm83NFqncRc7Mrnz6bWCLrHWkyDjVqDc-7q3HDEOFL-a5aFjaitBmIP3jYWvOikAIM2C4ifN_VPxrCaLBrZxeBJ5_bNU8381yH66eDwUbdj49OtfQ5WlfPLHorJquAwtiydKrpWP_1FzsccidN_AV6QjixY9f6RnasYqr4Xm1Gt7rNe_9r7E0S0cH_UVntA6fRjY_4nnKG8vBZVtmClDHI7OSGtcJEyOFLz3PEHGHt5rsHHvJzRtiGxp_zQOdY5won7WTI77pSYNI_IkNqMq47E7T4Jazup9_HCGQz9qLxn69GP51e_MGd2WieCekk5oEJdz3EOKEQ0gPBhWvi9FB30J2aprL5lhyMd9xSRg8cpFLmNRqBwa8WDAEWcCsQK59EGcbxKSAKzyFF42sY_S3lPPL-UZu1m1W_BPwW8T6wY2G4yQewAiNa0813gJgoaRlDZsYIWeiiKzYn7sdYQqi50JqHAPD5mN3fLbvL5h71GQTdxUGXLFuvf1hemT71wx1m2Ah3v2MXLFeiJJz4_4jOfDRu2dgbXpDZOuE6p2yRd7SOZRN57ZHme2jLibsLYm5XiEkuhPvIMp_EbMBfHqtiipSMK9KmOQIseZeZ8g6YNgui0SBxyV9AjvszU38_7YxMG7B5OCDrnxywiB8fjVGFQwoOBn6sEfAryY7K8HOelcULWYgI33Mvh00pq3-Cu_2VD2JRrYTD0KE-5AtJhqL7LOErs3m4L_NB1KZ0aUFtLuzQVGsbPvD3G9F0sUqwX4AndBHDufuRLVLtpmt956iFbsC0wVgVAojMRa-9k8evhVsPcXvQrmJV2-aKWHPHVJhqvVCK5cHFdWoO5HilB3yX-lz8UxxaAfBg-2-3xMMKHWPLYp73CdRVULJ85zGRFJRwmiSzdEkzbCiXkA2ZhO8wuR2SR8hxNSd3Jcf72r3gyn2G_YPpsq0JbV6-_Y6-rD9kTojvNxDqDILUNRjipOkQKryGihSzA5Phninm_0uzWKSy_FLd4TtCtk00xxCflT3fq5cWcC-EUUqTwYB--XjQq0ESt4WJl5FBSBxek_srwVu9i-yJYNa7TbCF2QWfgO2NdU8DekOc8zC0N-eceM8V5CRn2ewdGjkt4qbS2__f6Z81pO15PAgq4buyV4tbzR-uITxP0XLUWlfSYBJNQfsSN8Wa5o7wMv9nJDgZH_BLNJXz3eYMbDHnOcI00xNbHB-KKU-xQx9c0HlyWUBjj5YlAKmito7geTMGpO91wjiyjwySStw_20mhqe1rdHXJx9yYoS57sJl3dXbd2x7ugWybdtYeV_SP3-yZ949EZyfeUJ5VyB_TdEaMr9W5Vl7SD5VFFvmzFGd2Xae_45qcyYN5giEroCb0cTJJ06am_DnYuwSen7S37O9eZdc43OtTp9H69KEm2bZ85cYd1ey8ygtcwk8HfUnq_DJagZxiyAP6gOQdFukP7ijCAlwWsA2UHeWk637vYHtL4xUbGZE3wiJmqzwwYCNHXG-KQ5z74aXQxQmvTrCoWm33bv714Zjf39TzvZxS5Kc1hk3jAbSpTrWHwVW5E55p8y26bPhiARnf_KvIBXLF90uwaTZwwTyhfSOuDncGcStbKw-ZHvZUd9Exy_DPJF8XUvjN56MiNe3QxyEeqZBsYQQYKFMxRJYH5r_nGCdda0gBIxZ5jWAZ61WqiwDN3IwqJD1K-LgOP8eVeQf6USJ_tiXwV_A3HWwBBj0rFBqeQpYMGOjiD0HSBkqQHQBbN7t2F-yYObgDolUnmhltbtebX73SBHxCnco1GPer3ewPdnAg1AVEma4fb5mh0g-9uOMMHTZJ18IGI-DRZzVOwQGBUfvfY4TQUvjvfkHFO9hfyrLgJJg4yzlplPh08hMCW7Po1RnCKFWpejvZvl_eYW9WrpbqjXAXO47luB58XQW06bRQeQdThLCccO8FcuHhhFd5RVzBXxv2TG0hCR3XqN6HbdQVmsAZ21YvPwm3he4VEXvuJkO23ImvAhYZa0d7rgWJRL_c0TLMPfZbmSFEH_OykVbAYqFx7N2k1dJ8hSSWBFXOy-hDJcKNkuCvsp_4zv_MsLSnt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s160

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widgets.js

widgets.js

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s640

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411 ms

cb=gapi.loaded_0

cb=gapi.loaded_0

177 ms

r2dcYedPhVV.js

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267 ms

FEppCFCt76d.png

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268 ms

cookie.js

cookie.js

185 ms

integrator.js

integrator.js

174 ms

ads

ads

571 ms

ads

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536 ms

ServiceLogin

ServiceLogin

299 ms

ServiceLogin

ServiceLogin

332 ms

ServiceLogin

ServiceLogin

364 ms

widget_iframe.c4bdc17e77719578b594d5555bee90db.html

widget_iframe.c4bdc17e77719578b594d5555bee90db.html

174 ms

cb=gapi.loaded_1

cb=gapi.loaded_1

169 ms

cb=gapi.loaded_2

cb=gapi.loaded_2

624 ms

fastbutton

fastbutton

631 ms

settings

settings

820 ms

integrator.js

integrator.js

283 ms

ads

ads

419 ms

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413 ms

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524 ms

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642 ms

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671 ms

developers.google.com

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postmessageRelay

postmessageRelay

142 ms

button.c6c95b9789db97ea1e9742d215fff751.js

button.c6c95b9789db97ea1e9742d215fff751.js

5 ms

embeds

embeds

70 ms

follow_button.c4bdc17e77719578b594d5555bee90db.en.html

follow_button.c4bdc17e77719578b594d5555bee90db.en.html

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1832714284-postmessagerelay.js

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Accessibility Review

statsprofessor.org accessibility score

53

Accessibility Issues

ARIA

These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

[aria-*] attributes do not match their roles

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

Names and labels

These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

<frame> or <iframe> elements do not have a title

High

Image elements do not have [alt] attributes

High

<input type="image"> elements do not have [alt] text

High

Form elements do not have associated labels

High

Links do not have a discernible name

Internationalization and localization

These are opportunities to improve the interpretation of your content by users in different locales.

Impact

Issue

High

<html> element does not have a [lang] attribute

Tables and lists

These are opportunities to improve the experience of reading tabular or list data using assistive technology, like a screen reader.

Impact

Issue

High

Lists do not contain only <li> elements and script supporting elements (<script> and <template>).

Best Practices

statsprofessor.org best practices score

50

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

High

Includes front-end JavaScript libraries with known security vulnerabilities

Low

Ensure CSP is effective against XSS attacks

User Experience

Impact

Issue

High

Displays images with incorrect aspect ratio

High

Serves images with low resolution

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

High

Page has valid source maps

High

Issues were logged in the Issues panel in Chrome Devtools

SEO Factors

statsprofessor.org SEO score

82

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

Links are not crawlable

Content Best Practices

Format your HTML in a way that enables crawlers to better understand your app’s content.

Impact

Issue

High

Image elements do not have [alt] attributes

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

High

Tap targets are not sized appropriately

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    N/A

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Statsprofessor.org can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and neither this language nor any other was claimed in <html> or <meta> tags. Our system also found out that Statsprofessor.org main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

statsprofessor.org

Open Graph description is not detected on the main page of Stats Professor. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: