Analytics in football
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Test time youngster. Name her. Surely you possess the wisdom of Solomon.?
An actress out of an old biblical movie with nice tits?
An actress out of an old biblical movie with nice tits?
If you give up you can click on the picture for the answer.?
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An actress out of an old biblical movie with nice tits?
If you give up you can click on the picture for the answer.?
If you give up you can click on the picture for the answer.?
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?
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An actress out of an old biblical movie with nice tits?
Those are great tits Gip. Not nice tits. You are fired from the analytical strike force. You don’t even know great tits from nice tits.
Those are great tits Gip. Not nice tits. You are fired from the analytical strike force. You don’t even know great tits from nice tits.
Need a better resolution to give them an upgraded rating.
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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?
l question the reliability of it in football.
Did the player [O or D] get into the right initial position as determined by the play. If yes, +1 for that play for that player.
Did he make the correct read as the play happened -- I turn my head as an OG and see that I should switch off the DT and pick up the DE that's now looping around the DT
Did he execute the final tackle or catch or block that he read as the play happened -- Complete the block of the stunting DE, for example.
And each of these is one play. There's nearly 70 plays in a game each side of the ball. Add up player score, normalize to "out of 100" based on some weighting of each of these questions -- to adjust for differing number of plays run each game.
It measures performance over the game based on what play was called -- not just the one or five that the TV camera captured.
You can find things like: somebody always gets to the right spot but whiffs on the tackle, always tackles but isn't athletic enough to get to the right spot, a backup OT always loses to speed-to-power but never gets beat around the edge.The idea is that players are what the data says they are.. I don't care how much "heart" you have if you can't execute.. -
l question the reliability of it in football.
Did the player [O or D] get into the right initial position as determined by the play. If yes, +1 for that play for that player.
Did he make the correct read as the play happened -- I turn my head as an OG and see that I should switch off the DT and pick up the DE that's now looping around the DT
Did he execute the final tackle or catch or block that he read as the play happened -- Complete the block of the stunting DE, for example.
And each of these is one play. There's nearly 70 plays in a game each side of the ball. Add up player score, normalize to "out of 100" based on some weighting of each of these questions -- to adjust for differing number of plays run each game.
It measures performance over the game based on what play was called -- not just the one or five that the TV camera captured.
You can find things like: somebody always gets to the right spot but whiffs on the tackle, always tackles but isn't athletic enough to get to the right spot, a backup OT always loses to speed-to-power but never gets beat around the edge.The idea is that players are what the data says they are.. I don't care how much "heart" you have if you can't execute..Did the player [O or D] get into the right initial position as determined by the play. If yes, +1 for that play for that player.
Did he make the correct read as the play happened -- I turn my head as an OG and see that I should switch off the DT and pick up the DE that's now looping around the DT
Did he execute the final tackle or catch or block that he read as the play happened -- Complete the block of the stunting DE, for example.
And each of these is one play. There's nearly 70 plays in a game each side of the ball. Add up player score, normalize to "out of 100" based on some weighting of each of these questions -- to adjust for differing number of plays run each game.
It measures performance over the game based on what play was called -- not just the one or five that the TV camera captured.
You can find things like: somebody always gets to the right spot but whiffs on the tackle, always tackles but isn't athletic enough to get to the right spot, a backup OT always loses to speed-to-power but never gets beat around the edge. I of course don't know what stats are going to be looked at -- but the idea is that players are what the data says they are..Really good explanation. Thank you. Gonna stew on this and l may be back for more.
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Those are great tits Gip. Not nice tits. You are fired from the analytical strike force. You don’t even know great tits from nice tits.
Need a better resolution to give them an upgraded rating.
Need a better resolution to give them an upgraded rating.
You’re still fired. We need people who recognize great tits in real time and minimal resolution to succeed. Time is money.
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An actress out of an old biblical movie with nice tits?
If you give up you can click on the picture for the answer.?
If you give up you can click on the picture for the answer.?
Gina ! I know that this is going way off topic but in a nice way.
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si to the rescue....
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It's About Time The Browns Joined Football's Modern Age
Pete Smith
17 hours ago
In the wake of hiring Kevin Stefanski as the head coach of the Cleveland Browns, there's been a bunch of excellent reporting delving into the process that went into the hire as well some of the details that are going to come as a result. One of the areas that has been mentioned is the notion of Paul DePodesta's analytics department being involved in game planning, which is to say the coaching staff will be providing them with game plans.
https://twitter.com/DustinFox37/status/1216510921947914240As mentioned by Dustin Fox of 92.3 The Fan, the coaching staff would provide game plans to the analytics department and have some meetings with them before games. This is not only smart, but should be expected from a team that is worth over $1 billion that is trying to compete each and every week, because other teams are already doing it.
While this is being interpreted as micromanagement, it's actually an incredibly supportive role that just becomes an extension of the coaching staff and only helps them as well as players become more prepared before as well as during the game.
A coach provide the analytics department a gameplan. That department then provides relevant data to help both the coaches and players, going along with their film work. For example, if the Browns are planning to use a specific personnel group on offense, the analytics department is going to provide them with as much information as possible as it relates to what the defense has shown up to that point.
Defenses are lining up certain ways, depending on down and distance, their likelihood to blitz, where they tend to blitz, what type of coverages they are likely to run, their specific tendency for dealing with a primary receiver, so on and so forth. They would also provide some self scouting information such as how often they are successful in that personnel group, which formations they've experienced the most success and particular plays or players that have excelled.
They aren't telling the coaching staff what to do, but are simply giving them data, so when they are deciding, they are able to make an informed decision, assuming they choose to use it. Being less reliant on a gut instinct and feeling more confident in decisions because there's information saying it's a prudent decision is beneficial and improves time management.
The meetings that would happen before the game would largely be for the analytics department to make sure they have all the relevant data the coaching staff wants. In other words, at no point in the game are they caught flat footed, unable to provide desired information to a coach. This is no different from what coaches meetings discuss before games; making sure they have everything covered, so they can be prepared during the game. The analytics department is simply a support staff that is trying to anticipate the needs of the coaching staff, so they can focus entirely on beating the opponent rather than searching for information.
During a game, Kevin Stefanski will have access to his coaches through his headset, but he also effectively has access to the internet and a team of people willing to get him whatever he wants at a moment's notice. While coaches are talking to the offense on the sideline, the analytics department is gathering information that's relevant for what they are discussing in the moment as well as information for the next drive.
An effective analytics department during the game acts effectively as a coaching staff's personal assistant. They take care of some of the tasks the coach doesn't want to do during the game, so they can focus on on the critical decisions they were hired to make. At times, the data going to be a factor at all, but there are times when that extra set of eyes and hands specifically geared to make the coach's job easier are going to make a huge difference.
Any number of successful teams do this, but the Baltimore Ravens and Philadelphia Eagles are quite public about their willingness to embrace data in games. They are operating on the cutting edge while anyone who isn't embracing this type of data is at a disadvantage. The fact the Browns weren't doing this before is what should be of concern. They are coming at this and adapting late, which given their results for the past few decades, shouldn't come as a surprise.
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... or as Billy Beane put it... "Adapt or die, bitches"...
Actually I added the "bitches"...
OK- when I first heard this it was WTF in hell are they going to try now? So teams are now going to play an extremely advanced computerized game of Madden. Except it's for real, in Actual NFL games. This being the case, no wonder McDaniels told the Browns- "No Thanks".
I borrowed this from Dustin Fox's Twitter feed. I'm sure a lot of Browns fans share the sentiment.
Here's Jimmy, Depodesta, and the rest of the analytics team going over the head coaches game plan at the end of the week to give their approval.
OK- when I first heard this it was WTF in hell are they going to try now? So teams are now going to play an extremely advanced computerized game of Madden. Except it's for real, in Actual NFL games. This being the case, no wonder McDaniels told the Browns- "No Thanks".
I borrowed this from Dustin Fox's Twitter feed. I'm sure a lot of Browns fans share the sentiment.
Here's Jimmy, Depodesta, and the rest of the analytics team going over the head coaches game plan at the end of the week to give their approval.
Dustin Fox was also ecstatic about Hue's hiring. Nobody knows how this will pan out.
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Need a better resolution to give them an upgraded rating.
You’re still fired. We need people who recognize great tits in real time and minimal resolution to succeed. Time is money.
You’re still fired. We need people who recognize great tits in real time and minimal resolution to succeed. Time is money.
Damn...I must be losing my fastball.
I least I haven't gotten to the point where my comment was "Tits? What are tits?" But, maybe I do need much closer access to them than was provided in that old photo. So, in the future, help an old man out. Put those tits up closer so I can see them properly. This would probably work:
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You’re still fired. We need people who recognize great tits in real time and minimal resolution to succeed. Time is money.
Damn...I must be losing my fastball.
I least I haven't gotten to the point where my comment was "Tits? What are tits?" But, maybe I do need much closer access to them than was provided in that old photo. So, in the future, help an old man out. Put those tits up closer so I can see them properly. This would probably work:
Damn...I must be losing my fastball.
I least I haven't gotten to the point where my comment was "Tits? What are tits?" But, maybe I do need much closer access to them than was provided in that old photo. So, in the future, help an old man out. Put those tits up closer so I can see them properly. This would probably work:
Ha! You can only fit so much in your mouth. That’s my motto anyway.
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I guess those still in a tizzy over the Friday review meeting with "Analytics" haven't listened to Stef's intro presser yet...
"When you have a shared vision it is a lot easier to make unpopular decisions." - Paul DePodesta "When you win, say nothing. When you lose, say less." - Paul Brown Complete 2017 Browns Board Mock: http://thebrownsboard.com/forums/index.php?showtopic=46196 -
I guess those still in a tizzy over the Friday review meeting with "Analytics" haven't listened to Stef's intro presser yet...
I guess those still in a tizzy over the Friday review meeting with "Analytics" haven't listened to Stef's intro presser yet...
Yeah- and it sounds like the press about those meetings was, as Stef said- "silly season over reporting".
Great if Jimmy wants to know what's going on- but keep your nose out of the proceedings..... We'll give you 5 minutes to let you know what we're thinking of doing this Sunday- subject to change on how the game is going....
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If you give up you can click on the picture for the answer.?
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?
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.?
-
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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