Analytics in football
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Well, your clue involved Solomon, so it is likely supposed to be the Queen of Sheba. But wasn't Sheba from like Ethiopia? So shouldn't Sheba be black?
And didn't she take the Ark of the Covenant back to Ethiopia with her?
You're halfway there. Who played the Queen of Sheba?
Gina ! I know that this is going way off topic but in a nice way.
Half credit.?
You're halfway there. Who played the Queen of Sheba?
Half credit.?
Lollo...
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You're halfway there. Who played the Queen of Sheba?
Half credit.?
Lollo...
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From Haslam’s press conference if 30 people say nice things about you, you should be a NFL head coach
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The reason it worked for the A's was because of competitive advantage: Nobody else was using it.
Now, everyone is using it... and the teams that don't are falling behind -- because they can't stop fawning over players who would only make one above-replacement-value play per game because it was spectacular. [the analogy is the .200/200K/50 HR adam dunn]
Baseball has been using analytics for thousands of years. That’s how we know Jesus couldn’t hit a curveball.
The A’s simply prioritized different stats. Instead of dingers and batting average, they prioritized things like OBP and productive at bats. Nobody at the time was paying big bucks for guys who got on base a lot but didn’t hit a lot of homers.
What are the equivalent stats that the Browns are using to gain an advantage on other teams? Possession receivers? Guys who catch the ball well but don’t do much afterwards?
Sure tacklers? Guys who aren’t the quickest but who make a tackle more often than not?
Baker seems to need receivers who catch the ball over their head a lot. Do they really break down success rates of receivers catching high, intermediate, and low passes? And how reliable is that data?
As l mentioned before, the volume of data in baseball is so much greater than in football that l question the reliability of it in football.
Conceivably, you could go really crazy and measure a guy’s success rate at catching passes that come in at 30 mph and at a 20 degree angle 30 yards from the line of scrimmage, but how many passes did that player really see that fit those metrics? A dozen? Half dozen?
The A’s simply prioritized different stats. Instead of dingers and batting average, they prioritized things like OBP and productive at bats. Nobody at the time was paying big bucks for guys who got on base a lot but didn’t hit a lot of homers.
Sort of, but Billy Beane & Depo did not simply "prioritize different stats", Bill James' analyses revealed which stats produced the highest correlation with winning... and OBP was the king of these. Other analysis yielded lesser contributing factors such as no sacrifice bunting or stealing that they adopted. Anything to maximize your opponent's pitch count...
Because James was working with game recounts he minimized defense because he had no way of analyzing its impact. Now with seasons of live-charted games in the data banks Defensive considerations have been revived... as even Bill had to know they would be... since good Defense minimizes that team's pitch count.
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