Staturdays | Sports Stats + Analytics

Sports stats & analytics + bets and insight. From the minds and computers of @kylebeni012, @drewbennison.

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Staturdays Newsletter: Fantasy Football Playoff Predictions https://t.co/tXNX3zMl2o

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Oregon came to play!

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@jmcgonigal9 I thought

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@LateKickJosh Once in a decade stuff, sorry for the minor inconvenience.

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@fbintheboot DMing you

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This article was a great resource on how to watch football a bit smarter as a fan and get more understanding out of what you’re seeing on TV.

https://t.co/QiBkSX2Zhr

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No college football content but here’s some NFL content I’ve been sitting on for a while.

Should an NFL team sign @BobanMarjanovic to block kicks for them?

https://t.co/dbd1pWrxEQ

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to just watch games and see the cool work that the #cfbstats community and @CFB_Data come up with this season!

If you’re interested in CFB stats and want an easy way to get started, check out the package I created in the off-season, https://t.co/JpPHTIHniF

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Quick update on the 2022 CFB season:

I (Kyle) got a puppy 1 week before the season started and have had no time to do the work I was hoping to do for the 2022 season, so that’s why we aren’t posting so far this year.

Hopefully I’ll find the time, but in the meantime excited…

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With the #Indycar season starting tomorrow at the @GPSTPETE, be sure to follow @DrewBennison's work over at @thesingleseater for all your open-wheel racing data analytics.

#FirestoneGP

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End of Q4:

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During tonight's #NationalChampionship game, we will have some graphs of the sentiment of tweets related to the game, broken out by team specific hashtags. More positive tweets are higher on the y-axis, and more negative tweets are lower. Here are the pregame numbers:

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End of Q3:

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@kylebeni012 Additionally, these are grouped by five minute intervals. So perhaps no one can stay happy for more than 5 minutes to really show a difference 🤷🏻‍♂️

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@kylebeni012 Definitely surprising to me. My current thought is that people might tweet more when mad, and some calls have been temporarily bad for one team & then bad for the other. For example, the first drive fumble - Alabama mad at first, Georgia mad after it was reversed evens them out?