Thread: I compiled all D1 team stats listed on the NCAA site from the last full NCAA softball regular season and here’s what I found from 297 teams.
⬇️

1/

Let’s start with the most important stat of all: Winning.

The two stats correlated most to Winning% are Runs Scored & ERA.

I think most of us could have guessed that scoring more runs than you’re allowing is a good recipe for success.

2/
What is the best way to score runs? A high OPS.

I also added the correlation between Stolen Bases per Game & Runs per Game. I was surprised by this, are you?

3/
Winning in the regular season helps set up a chance for the postseason. The NCAA loves their RPI metric for determining their postseason qualifiers and here’s how Wins, Losses, & SOS correlate to RPI.

4/
Here’s how the postseason looked based on RPI & SOS. I’m not going to elaborate on this. We’ll continue with something more fun.

5/
Based on regular season offensive statistics do we have a good idea of who will achieve Postseason Success?

The elite teams appear to separate themselves a little bit.

6/
You saw the defensive stats, let’s now look at the defensive side. The NCAA site doesn’t have a lot of stats on defense but here are 3 they did have.

They do say, “Defense wins Championships”

7/
As many of you have seen probably more than once now, here is my own defensive data I collected from the last full softball season.

8/ https://t.co/mTl9MpMJlU
With the 2021 season upon us, will we see some of the same statistical occurrences or did the last full D1 softball season have anomalies?

9/

More from For later read

How I created content in 2020

A thread...

Back in Aug 2016, I started creating content to share my experiences as an entrepreneur.
Over 3 years I had put out 1,200+ hours of content - posting every week without


Little did I know that something I started almost 4 years back would give my life an entirely new direction.

At the end of 2019, my biggest platform was LinkedIn with ~700K followers.

In Jan 2020, I decided to build a team that would help me with the content.

I ran a month long recruitment drive to hire a team of interns.

It comprised 4 detailed rounds - starting with my loved 20 questions, then an assignment, then a WhatsApp video round and finally F2F.

Through 1,200+ applications, I finally selected 6 profiles, starting March.

I am a firm believer in @peterthiel's one task, one person philosophy
So the team was structured such that everyone was responsible for ONLY one task

1. Content ideas
2. Videography
3. Video editing
4. LinkedIn (+TikTok) distribution
5. FB+IG distribution
6. YouTube distribution
#IDTwitter #IDFellows
Introducing our new series: “IDFN top 10 articles every fellow should read”🔖

#1: SAB management
by @mmcclean1 @LeMiguelChavez
Reviewers @KaBourgi, @IgeGeorgeMD, @Courtcita, @MDdreamchaser

We know is subjective & expect feedback/future improvements 👇

1. Clinical management of Staphylococcus aureus bacteremia: a review.
https://t.co/9tBCtp9mlP
👉 A must read written by Holland et al. where they review the evidence of the management of SAB.

2. Impact of Infectious Disease Consultation on Quality of Care, Mortality, and Length of Stay in Staphylococcus aureus Bacteremia: Results From a Large Multicenter Cohort Study.
https://t.co/XujO68pCuH
👉ID consult associated with reduced inpatient mortality.

3. Predicting Risk of Endocarditis Using a Clinical Tool (PREDICT): Scoring System to Guide Use of Echocardiography in the Management of Staphylococcus aureus Bacteremia
https://t.co/otcA1pxjAw
👉Predictive risk factors for infective endocarditis, and thus the need for TEE.

4. The Cefazolin Inoculum Effect Is Associated With Increased Mortality in Methicillin-Susceptible Staphylococcus aureus Bacteremia.
https://t.co/CQZiryVWZz
👉Presence of cefazolin inoculum effect in the infecting isolate was associated with an increase 30-day mortality.

You May Also Like

Trading view scanner process -

1 - open trading view in your browser and select stock scanner in left corner down side .

2 - touch the percentage% gain change ( and u can see higest gainer of today)


3. Then, start with 6% gainer to 20% gainer and look charts of everyone in daily Timeframe . (For fno selection u can choose 1% to 4% )

4. Then manually select the stocks which are going to give all time high BO or 52 high BO or already given.

5. U can also select those stocks which are going to give range breakout or already given range BO

6 . If in 15 min chart📊 any stock sustaing near BO zone or after BO then select it on your watchlist

7 . Now next day if any stock show momentum u can take trade in it with RM

This looks very easy & simple but,

U will amazed to see it's result if you follow proper risk management.

I did 4x my capital by trading in only momentum stocks.

I will keep sharing such learning thread 🧵 for you 🙏💞🙏

Keep learning / keep sharing 🙏
@AdityaTodmal