Podcast thumbnail for Data.Set.Hike.

Data.Set.Hike.

Claim This Podcast

by Alex

5.0(3 reviews)
10 episodes
Updated Daily
Accepts GuestsHas Sponsors

Podcast Overview

Predicting the winners of NFL games can be tricky and, sometimes, near impossible. Join Alex and Jay each Thursday for a preview of the coming weeks professional football games and a look into what their WL Score says for each match-up. Every episode contains powerful insight into each match-up using statistical predictive modeling, to help turn the odds in your favor.

Language

πŸ‡ΊπŸ‡²

Publishing Since

12/6/2020

1 verified contact email on file for Data.Set.Hike.

Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.

Recent Episodes

Episode thumbnail for S1E22 - 2020 Season Wrap-up

February 23, 2021

S1E22 - 2020 Season Wrap-up

2020 Season Wrap-up and Super bowl thoughts.

Episode thumbnail for S1E21 - Superbowl

February 5, 2021

S1E21 - Superbowl

<p>Alex and Jay cover the Superbowl for the 2020 NFL season and give their picks along with the algorithm WLS picks for:</p> <ul> <li>Chiefs @ Tampa Bay</li> </ul> <p>WLS is picking winners with 66% accuracy, will it pick the Superbowl winner?</p> <p>Find out more at <a href="https://data-set-hike.pinecast.co" rel="nofollow">https://data-set-hike.pinecast.co</a></p>

Episode thumbnail for S1E20 - Conference Championships

January 24, 2021

S1E20 - Conference Championships

<p>Alex and Jay cover the Conference Championships for the 2020 NFL season and give their picks along with the algorithm WLS picks for:</p> <ul> <li>Buccaneers @ Green Bay</li> <li>Bills @ Kansas City</li> </ul> <p>WLS is picking winners with 66% accuracy after the first playoff weekend, will it pick the Superbowl winner?</p> <p>Find out more at <a href="https://data-set-hike.pinecast.co" rel="nofollow">https://data-set-hike.pinecast.co</a></p>

10 total episodes available

Deep-dive analytics for Data.Set.Hike.

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Data.Set.Hike.?

Predicting the winners of NFL games can be tricky and, sometimes, near impossible. Join Alex and Jay each Thursday for a preview of the coming weeks professional football games and a look into what their WL Score says for each match-up. Every episode contains powerful insight into each match-up using statistical predictive modeling, to help turn the odds in your favor.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

No, this podcast does not typically feature guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.