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Manny Diaz Show... wow

The Franchise said:
This is what happens when you turn over the reins to a major college iconic program to an analytics stats nerd. That stuff is nice for fantasy football dorks and fat slob degenerate gamblers with congealed blood slowly dribbling through their clogged arteries. But I don’t want to hear that pvssy **** gurgling from the mouth of a man charged with the duty of leading other men. My fcking men!

Leaders of men do not concern themselves with spontaneous acts of kindness. Anyway, if it’s truly spontaneous, you can’t coach it. So why bother with it? This dude is caught up in dabbling in some dog ****.
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Bro, have you seent our S&P+? We have way more wins on paper, bro.
 
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The problem isn’t analytics nerds... it’s peeps like Manure who think analytics are the future, but aren’t analyzing the right things!

I mean... u are gonna do some kindergarten **** and give participation trophies to JW15 and a golden star for every spontaneous rah rah you give?!? This is the type of stuff they do for my autistic son!

Just... wow

The Franchise said:
This is what happens when you turn over the reins to a major college iconic program to an analytics stats nerd. That stuff is nice for fantasy football dorks and fat slob degenerate gamblers with congealed blood slowly dribbling through their clogged arteries. But I don’t want to hear that pvssy **** gurgling from the mouth of a man charged with the duty of leading other men. My fcking men!

Leaders of men do not concern themselves with spontaneous acts of kindness. Anyway, if it’s truly spontaneous, you can’t coach it. So why bother with it? This dude is caught up in dabbling in some dog ****.
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ALLoverCANE said:
LOL. Let me get this straight. You think "analytics" will become LESS relevant in the future?

Ha, let's check in again in 20 years.

"Analytics" is not a fad. It is the byproduct of technological advancements in the ability to capture data, store data, transfer data, and transform data. Technological advancement only moves 1-way: forward.

I'm not too interested in having this discussion, because (1) the trend is plain as day, and (2) the more some people decide to stick their head in the sand, the easier it is for analytically inclined people to differentiate themselves.

But this is an amusing take.
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Well, you don't have it straight. Not even a little.

Considering that I make a living at analytics and have for over 20 years, I'd say I have a pretty clear perspective on trends in the field.

I'm saying there are plenty of meaningless statistics out there and the problem is going to get worse. Without knowing what problem you're trying to solve and having good data quality, you're not going to get the metrics you need to get an accurate picture. As more money is being spent on analytics, more unqualified people are going to be capitalizing on that.

Look at trying to measure spontaneous celebrations of other players' successes. Knowing they are going to be measured, do you think they will be more or less frequent now? Does that improve or degrade the data quality?

I'm not saying there's no value in analytics, obviously. Just that good metrics are going to be harder to discern.
 
Rousseau: "Hey coach, I'm 7 feet tall 300 pounds with 2% body fat and I can tie my shoes without bending over -- can I start at DE this year?"

Mandy: "How many high-fives did you give this Spring?

Rosseau: "uhh..?"

Mandy leans toward the open door: "Patchan! You're starting."
 
Appears his analytic staff cis members were screaming for are analyzing all the wrong things. Obvious they have done nothing for the win loss record
Old school myself but trust eye test a lot more than all the useless things being analysed
 
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JD08 said:
Well, you don't have it straight. Not even a little.

Considering that I make a living at analytics and have for over 20 years, I'd say I have a pretty clear perspective on trends in the field.

I'm saying there are plenty of meaningless statistics out there and the problem is going to get worse. Without knowing what problem you're trying to solve and having good data quality, you're not going to get the metrics you need to get an accurate picture. As more money is being spent on analytics, more unqualified people are going to be capitalizing on that.

Look at trying to measure spontaneous celebrations of other players' successes. Knowing they are going to be measured, do you think they will be more or less frequent now? Does that improve or degrade the data quality?

I'm not saying there's no value in analytics, obviously. Just that good metrics are going to be harder to discern.
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You hit the nail on the head! This is the world we live in now, everyone wants reports of this and that and expect it to solve problems. The key to having the wealth of data is deciphering what it tells you, and putting together an action plan based off of that data (executing said plan is a whole different story lol).
 
This isn't that surprising when you actually pay attention to this team.....................I find it amusing that enough people are still excited by this game Saturday like it actually means something anymore. Then again if incompetence is what gets your juices flowing....................this is your Super Bowl.
 
Yup..this amateur thinks he's the smartest guy in the room. He has no clue. Bring me a **** football coach to Miami man!
 
ben said:



15:30 mark:
“We actually chart this, believe it or not. We actually give out points in our productivity chart when you spontaneously react to the success of another teammate”
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I wonder if it’s charted positively with we celebrate even bad plays
 
JD08 said:
Well, you don't have it straight. Not even a little.

Considering that I make a living at analytics and have for over 20 years, I'd say I have a pretty clear perspective on trends in the field.

I'm saying there are plenty of meaningless statistics out there and the problem is going to get worse. Without knowing what problem you're trying to solve and having good data quality, you're not going to get the metrics you need to get an accurate picture. As more money is being spent on analytics, more unqualified people are going to be capitalizing on that.

Look at trying to measure spontaneous celebrations of other players' successes. Knowing they are going to be measured, do you think they will be more or less frequent now? Does that improve or degrade the data quality?

I'm not saying there's no value in analytics, obviously. Just that good metrics are going to be harder to discern.
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It is curiously defeatist for someone who works in analytics to say that we'll just have too much data we won't know what to do with it.

There will be more data available, no doubt. It's going to get more complex, but so will our tools to make sense of it. And people who can make sense of it - and in doing so, differentiate themselves from those unqualified people that you are referring to - are going to do very well for themselves and ascend to more prominent positions.

If players celebrate their teammates' successes more frequently because they are being measured...isn't that validation of the approach? Measurement would have had the desired affect. You can argue maybe the celebrations become "artificial", but smart people will come up with workarounds. You can randomize rewards for celebrations to diminish the incentive to "fake" a celebration. You can rotate measurement among position groups, so that players don't always assume they are being measured. And eventually once the culture is in place you can do away with measurement altogether - and randomly bring it back for a week or two whenever you feel it's trending in the wrong direction.

FYI, I work at a data analytics company too. One of our investors is the owner of a Big 4 professional sports team that has won multiple championships this decade. Analytics are everywhere and only increasing.
 
There is a big difference between using analytics for a purpose and using analytics for the sake of using it. We have a staff member actually charting players reactions after each play. Why? What will that help us achieve? Momentum? Then why do we almost always go 3-and-our after a turnover?

Why is an undersized undercoached overmatched no-technique true freshman at LT with a right-handed QB? Did we use analytics that back up that decision?

Why are we throwing outside fades to the two shortest receivers on the team who get matched up with the tallest CBs? Analytics?

At the g*dd*mn least, take the guy charting cheerleading and give him to Enos to help him decide what play to call. It still takes us 30 seconds to pick a f*cking play.
 
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Is anyone here an actual fan or have we fell into only trolls, Manny did a SHOW and I found it enjoyable and like how he showed the pieces that come together for a successful play. No I in team or TEAMWORK. Some here need a life.
 
ALLoverCANE said:
LOL. Let me get this straight. You think "analytics" will become LESS relevant in the future?

Ha, let's check in again in 20 years.

"Analytics" is not a fad. It is the byproduct of technological advancements in the ability to capture data, store data, transfer data, and transform data. Technological advancement only moves 1-way: forward.

I'm not too interested in having this discussion, because (1) the trend is plain as day, and (2) the more some people decide to stick their head in the sand, the easier it is for analytically inclined people to differentiate themselves.

But this is an amusing take.
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Seems like you're partial to analytics. Easy to assume the truth is somewhere in the middle.
 
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