Discover and read the best of Twitter Threads about #pac12

Most recents (7)

It's media day for the #Pac12, which faces an uncertain future after USC and UCLA announced their departure for the Big Ten Conference in 2024. latimes.com/sports/story/2…
“I love the complexity. It’s three-dimensional chess, and it’s fun to play.”

That's what George Kliavkoff said about conference realignment last summer.

A year later, we're about to find out whether the Pac-12 commissioner can actually play chess. latimes.com/sports/story/2…
ICYMI from @BradyMcCollough and @Ryan_Kartje: How USC lured Oklahoma's Lincoln Riley: The 12 hours that transformed @USC_FB latimes.com/sports/usc/sto…
Read 7 tweets
We are roughly 2 months away from the start of #CFB season! Lets talk expectations. Ill go through each team & give what my model predicts as the % chance each team gets to bowl eligbility, and also the % chance each team gets 10+ Ws given their respective schedules. Lets go!🧵
#SEC (% Chance @ 6+ Ws/% Chance @ 10+ Ws)

#Alabama #RTR 99.9%/89.5%
#Arkansas #WPS 55.3%/11.0%
#Auburn #WarEagle 36.9%/1.8%
#Florida #Gators 81.0%/17.4%
#Georgia #UGA 99.9%/93.3%
#Kentucky #BBN 66.7%/7.3%
#LSU #GeauxTigers 81.8%/29.1%
#HailState 47.8%/2.6%
#SEC (% Chance @ 6+ Ws/% Chance @ 10+ Ws) (cont)
#Mizzou 69.2%/11.6%
#OleMiss 96.9%/41.4%
#SouthCarolina 31.2%/0.8%
#Tennessee #Vols 95.3%/35.6%
#TAMU #GigEm 99.0%/75.1%
#Vanderbilt #AnchorDown 2.3%/ <0.1%
Read 12 tweets
Ready for the #CFB Analytics Spring Top 40? Here we go. This Power Ranking is derived from a model which utilizes full Coach Staff efficiency metrics, roster talent, & returning production among other metrics. No opinion here, I just regurgitate the numbers. #NoOpinionJustNumbers
40 #Kentucky #BBN #SEC Power Rating: 61.726
Returning Production for the Wildcats may be a problem. At 39.72%, it puts them at 113th in the country. The schedule is manageable tho drawing Ole Miss & Miss State out the West. #CFB
39 #Washington #PurpleReign #Pac12
Power Rating: 62.271
Really like the new coaching staff in Seattle. Should put them in a better position to win. Roster talent purge from the prev regime will have an early effect (last 2 classes were 39th, 86th) but the ship has been righted.
Read 42 tweets
So far everything Ive commented on in the realm of conference expansion has been make believe. Just day dreams. I did a little reading tho & wanted to go thru what is reality & most importantly, why? Ill be going thru all remaining P5 confs to shed light on their situation. #CFB
First, lets take a look at the #ACC. You can ignore anything you read regarding #NotreDame or any of the the #ACC schools leaving. Just keep right on scrolling, bc it isn’t happening. Why not? The #ACC has a grant of rights agreement which extends until 2036. (continued)
No school is going to be putting their TV revenue on the line for the next 15 yrs. Just wont happen. By the end of this grant of rights agreement tho, the #ACC will be making nearly half of what the #BigTen & #SEC will be in TV revenue (only $34 Million per team in ’19). (cont)
Read 16 tweets
New preprint showing a #SARSCoV2 nucleocapsid variant that impacts antigen test performance. One sample just didn't want to play ball with the Quidel SARS Antigen FIA, of #pac12 and #big10 fame. So we sequenced it...

medrxiv.org/content/10.110…
Using additional clinical specimens and recombinant nucleocapsid, we mapped to D399N. Looks like a ~1000-fold effect on assay performance. Doesn't affect Quidel QuickVue or BinaxNOW. This is a rare mutation, occurring in 0.02% global genomes. But variants are everywhere.
big thanks to @GAPerchetti for initially pulling this thread and Jon Reed and Quynh Phung in the lab for recombinant work, Michelle Lin for data viz, Dr. Lori Bourassa for coordination and @DrKimHarmon for the initial tests.
Read 3 tweets
So the German JAMA #COVID19 cardiology study that has been referenced thousands of times to shut down the #Big10 and #PAC12 seasons by media including @ESPN presents data that is statistically impossible. Basically everything in this table below is bogus. Let me explain:
For this example I'm going to use systolic blood pressure but it can be anything that was highlighted above by @ProfDFrancis. In the table above, the parentheses mean they found an interquartile range for systolic BP of 125-133 - or 50/100 of their subjects fell in this range.
This is a problem. In a much larger study across the German population the IQR is much larger. For example, if we take the 41-50 age range from this larger study (similar range to the JAMA study) they found a mean of 130.5 and a standard deviation of 16.8.
Read 8 tweets
Version 3 of the #CFBPlayoff rankings were released last night. What you expected? If youve followed along since early Oct you know the process. You werent surprised. For the rest of you, lets take a look & compare to what was projected using the same process used for 5 yrs.
First off, why does the committee use this process? Think about it. 14 busy guys make up this committee. They have roughly 60 hrs from when the last game ends on Sat to when they need to have this Top 25 created on Tues. If they evaluate only 30 teams to get that 25, how much
time is adequate to evaulate? 1 hr? Thats 30 hrs of evaluation. Half the time is gone & no one has slept. The process of getting a consensus out of 14 people hasnt even started. Thats why this process is kept so simple, & its why they have a defined predictable process.
Read 29 tweets

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