NOTE: Our tools will be updated each week as soon as data from our stats provider is available. Generally, data from Sunday’s games will be available early Tuesday afternoon. For an immediate look at the games from the previous weekend, please check out our Monday Review tool which includes a collection of preliminary stats.
Tight end is a position that has created some challenges in recent years if forecasting via Similarity Scores is what we want to do. There are fewer tight ends than wide receivers or running backs, and the emergence of guys like Rob Gronkowski and Jimmy Graham has meant that we have multiple tight ends per year that we’re trying to match up with historical seasons…...
Just a quick post here as I was looking at some Google Trend data and thought that it was worth sharing. Even in the offseason, fantasy football is a more popular search term than basketball or baseball. I wonder how much of that is attributable to “fantasy football” catching people looking for American football and also soccer… [edit: I figured out how to restrict the…...
If it weren’t for the infamous Fail Mary debacle on Monday Night Football, Golden Tate would have gone completely under the radar in 2012 despite logging a very solid season of production. Tate finished 34th in total fantasy points among wide receivers with 688 yards and 7 TDs (six if you’re not counting the charity he received from the replacement refs)…....
In the first part of this series Shawn Siegele articulated why he has a negative view of Randall Cobb going into the 2013 season. In this installment Frank DuPont/The Fantasy Douche will share his thoughts on Cobb. Shawn and I probably agree on the big broad strokes that are relevant to whether you want to own Cobb in 2013. But before I get to the…...
As you read in part 1 of this article, Pac-12 wide receivers are going extinct. Now it’s time to examine some similarities among failed Pac-12 prospects and see if we can find a trend. Hopefully we can get a read on California WR Keenan Allen…....
Rap Battle will be a running series that originated out of emails that Money in the Banana Stand’s Shawn Siegele and Frank DuPont/The Fantasy Douche exchange from time to time where they share their thoughts on players. It’s probably worth noting that the very first time Shawn and Frank ever exchanged emails, it was Shawn telling Frank that Frank was wildly underrating Rob Gronkowski… that…...
Jon Moore’s article from earlier today, which discussed the lack of impact that Pac-12 wide receivers are having in the NFL, has had me thinking about possible explanations. One reason that may seem obvious to you, but which wasn’t immediately obvious to me is that the Pac-12 suffers from both a time zone and a geography problem. Most of the population of the U.S. lives…...
Let’s play a word association game. If I say ‘Peanut Butter,’ you say ______. If I say ‘Salt,’ you say _______. If I say ‘Pac 12 wide receivers,’ you say ______…....
One of the great things you can do with the Similarity Score apps is that you can create custom adjustments with very little effort. I primarily use Similarity Scores when I project players for the coming fantasy season. But one thing I’ve struggled with in the past is how to treat players that will see usage changes. The custom features on the app make quick…...
Using the ADP Arbitrage app we can look at a receiver and then see what the Average Draft Position of similar receivers is. This is a way of checking market value. I figured I would bang out a quick article illustrating how I would use the app in making decisions for my fantasy team…....
Calvin Johnson is the greatest. 2012 saw the Georgia Tech alum set the NFL single season record for receiving yards, solidifying himself as the best receiver in the game…....
I’ve coded up another app that will let you look at some similarity scores, with the focus going to quarterbacks this time around. One useful addition this time is that I’ve added a fantasy points/game projection in the 2nd tab (the N+1 tab). The projection is the average of the fantasy points scored in Season N+1 for the comparable group. …...
According to this article on ESPN.com, Kiper’s top 5 wideouts are Cordarrelle Patterson, Keenan Allen, DeAndre Hopkins, Quinton Patton and Tavon Austin. Using the career graph comparison app that I posted here, we can pretty quickly compare the receivers based on their body of work in college. NFL evaluators probably don’t give enough credence to a theory of evaluating wideouts that says basically “If he…...
Just a quick post here on the news that Titus Young has been claimed off of waivers by the St. Louis Rams. Young may be an interesting name if for no other reason than that he could see the ball more in STL than he did in DET. However, I thought it might be interesting to compare Young’s market share numbers from college with the…...
Using the app I posted yesterday which allows you to compare the college careers of receivers, I decided I would take a look at a group of receivers that sort of fit into a group insofar as they have some similarities, but where we can look at their college careers as a way to set expectations for the future…....
The play by play database published by cfbstats.com makes it possible to look at college receivers in terms of efficiency stats, rather than just viewing them in terms of pure counting stats. I thought that maybe one interesting application would be to compare graphs of receivers based on efficiency stats. The app below will let you compare as many receivers as you want based on…...
This is just for fun, but I coded up a quick similar games finder for purposes of looking at the Super Bowl point spread. The app lets you do a few cool things. First, you could look at matchups between any two teams from the 2012 season. If you’re a bummed out Pats fan and you want to see what a point spread might have…...
If you’ve had some time to play around with the running back similarity score app, you may have noticed that pass catching running backs tend to look a little bit better on a year over year change basis. They tend not to fall off as much as running backs that have acquired all of their points in the running game. To illustrate this trend we…...
One of the things I’m always looking for during a fantasy draft is the ability to pick up a player that I think is 90% of another player, but for a much reduced price. Last year I thought that it was realistic to expect that Marques Colston could put up most of Larry Fitzgerald’s production, but for a much lower price (WR16 for Colston, compared…...
Forecasting running back results is an incredibly difficult business. They’re extremely usage dependent, which means that they are subject to the changes in game plan that a team might have either on the season level or at the individual game level. Running backs take a beating, which means that they’re sensitive to injuries. To make matters even more difficult, the NFL is moving steadily towards…...
Tight end is a position that has created some challenges in recent years if forecasting via Similarity Scores is what we want to do. There are fewer tight ends than wide receivers or running backs, and the emergence of guys like Rob Gronkowski and Jimmy Graham has meant that we have multiple tight ends per year that we’re trying to match up with historical seasons…...
Just a quick post here as I was looking at some Google Trend data and thought that it was worth sharing. Even in the offseason, fantasy football is a more popular search term than basketball or baseball. I wonder how much of that is attributable to “fantasy football” catching people looking for American football and also soccer… [edit: I figured out how to restrict the…...
If it weren’t for the infamous Fail Mary debacle on Monday Night Football, Golden Tate would have gone completely under the radar in 2012 despite logging a very solid season of production. Tate finished 34th in total fantasy points among wide receivers with 688 yards and 7 TDs (six if you’re not counting the charity he received from the replacement refs)…....
In the first part of this series Shawn Siegele articulated why he has a negative view of Randall Cobb going into the 2013 season. In this installment Frank DuPont/The Fantasy Douche will share his thoughts on Cobb. Shawn and I probably agree on the big broad strokes that are relevant to whether you want to own Cobb in 2013. But before I get to the…...
As you read in part 1 of this article, Pac-12 wide receivers are going extinct. Now it’s time to examine some similarities among failed Pac-12 prospects and see if we can find a trend. Hopefully we can get a read on California WR Keenan Allen…....
Rap Battle will be a running series that originated out of emails that Money in the Banana Stand’s Shawn Siegele and Frank DuPont/The Fantasy Douche exchange from time to time where they share their thoughts on players. It’s probably worth noting that the very first time Shawn and Frank ever exchanged emails, it was Shawn telling Frank that Frank was wildly underrating Rob Gronkowski… that…...
Jon Moore’s article from earlier today, which discussed the lack of impact that Pac-12 wide receivers are having in the NFL, has had me thinking about possible explanations. One reason that may seem obvious to you, but which wasn’t immediately obvious to me is that the Pac-12 suffers from both a time zone and a geography problem. Most of the population of the U.S. lives…...
Let’s play a word association game. If I say ‘Peanut Butter,’ you say ______. If I say ‘Salt,’ you say _______. If I say ‘Pac 12 wide receivers,’ you say ______…....
One of the great things you can do with the Similarity Score apps is that you can create custom adjustments with very little effort. I primarily use Similarity Scores when I project players for the coming fantasy season. But one thing I’ve struggled with in the past is how to treat players that will see usage changes. The custom features on the app make quick…...
Using the ADP Arbitrage app we can look at a receiver and then see what the Average Draft Position of similar receivers is. This is a way of checking market value. I figured I would bang out a quick article illustrating how I would use the app in making decisions for my fantasy team…....
Calvin Johnson is the greatest. 2012 saw the Georgia Tech alum set the NFL single season record for receiving yards, solidifying himself as the best receiver in the game…....
I’ve coded up another app that will let you look at some similarity scores, with the focus going to quarterbacks this time around. One useful addition this time is that I’ve added a fantasy points/game projection in the 2nd tab (the N+1 tab). The projection is the average of the fantasy points scored in Season N+1 for the comparable group. …...
According to this article on ESPN.com, Kiper’s top 5 wideouts are Cordarrelle Patterson, Keenan Allen, DeAndre Hopkins, Quinton Patton and Tavon Austin. Using the career graph comparison app that I posted here, we can pretty quickly compare the receivers based on their body of work in college. NFL evaluators probably don’t give enough credence to a theory of evaluating wideouts that says basically “If he…...
Just a quick post here on the news that Titus Young has been claimed off of waivers by the St. Louis Rams. Young may be an interesting name if for no other reason than that he could see the ball more in STL than he did in DET. However, I thought it might be interesting to compare Young’s market share numbers from college with the…...
Using the app I posted yesterday which allows you to compare the college careers of receivers, I decided I would take a look at a group of receivers that sort of fit into a group insofar as they have some similarities, but where we can look at their college careers as a way to set expectations for the future…....
The play by play database published by cfbstats.com makes it possible to look at college receivers in terms of efficiency stats, rather than just viewing them in terms of pure counting stats. I thought that maybe one interesting application would be to compare graphs of receivers based on efficiency stats. The app below will let you compare as many receivers as you want based on…...
This is just for fun, but I coded up a quick similar games finder for purposes of looking at the Super Bowl point spread. The app lets you do a few cool things. First, you could look at matchups between any two teams from the 2012 season. If you’re a bummed out Pats fan and you want to see what a point spread might have…...
If you’ve had some time to play around with the running back similarity score app, you may have noticed that pass catching running backs tend to look a little bit better on a year over year change basis. They tend not to fall off as much as running backs that have acquired all of their points in the running game. To illustrate this trend we…...
One of the things I’m always looking for during a fantasy draft is the ability to pick up a player that I think is 90% of another player, but for a much reduced price. Last year I thought that it was realistic to expect that Marques Colston could put up most of Larry Fitzgerald’s production, but for a much lower price (WR16 for Colston, compared…...
Forecasting running back results is an incredibly difficult business. They’re extremely usage dependent, which means that they are subject to the changes in game plan that a team might have either on the season level or at the individual game level. Running backs take a beating, which means that they’re sensitive to injuries. To make matters even more difficult, the NFL is moving steadily towards…...
Tight end is a position that has created some challenges in recent years if forecasting via Similarity Scores is what we want to do. There are fewer tight ends than wide receivers or running backs, and the emergence of guys like Rob Gronkowski and Jimmy Graham has meant that we have multiple tight ends per year that we’re trying to match up with historical seasons…...
Just a quick post here as I was looking at some Google Trend data and thought that it was worth sharing. Even in the offseason, fantasy football is a more popular search term than basketball or baseball. I wonder how much of that is attributable to “fantasy football” catching people looking for American football and also soccer… [edit: I figured out how to restrict the…...
If it weren’t for the infamous Fail Mary debacle on Monday Night Football, Golden Tate would have gone completely under the radar in 2012 despite logging a very solid season of production. Tate finished 34th in total fantasy points among wide receivers with 688 yards and 7 TDs (six if you’re not counting the charity he received from the replacement refs)…....
In the first part of this series Shawn Siegele articulated why he has a negative view of Randall Cobb going into the 2013 season. In this installment Frank DuPont/The Fantasy Douche will share his thoughts on Cobb. Shawn and I probably agree on the big broad strokes that are relevant to whether you want to own Cobb in 2013. But before I get to the…...
As you read in part 1 of this article, Pac-12 wide receivers are going extinct. Now it’s time to examine some similarities among failed Pac-12 prospects and see if we can find a trend. Hopefully we can get a read on California WR Keenan Allen…....
Rap Battle will be a running series that originated out of emails that Money in the Banana Stand’s Shawn Siegele and Frank DuPont/The Fantasy Douche exchange from time to time where they share their thoughts on players. It’s probably worth noting that the very first time Shawn and Frank ever exchanged emails, it was Shawn telling Frank that Frank was wildly underrating Rob Gronkowski… that…...
Jon Moore’s article from earlier today, which discussed the lack of impact that Pac-12 wide receivers are having in the NFL, has had me thinking about possible explanations. One reason that may seem obvious to you, but which wasn’t immediately obvious to me is that the Pac-12 suffers from both a time zone and a geography problem. Most of the population of the U.S. lives…...
Let’s play a word association game. If I say ‘Peanut Butter,’ you say ______. If I say ‘Salt,’ you say _______. If I say ‘Pac 12 wide receivers,’ you say ______…....
One of the great things you can do with the Similarity Score apps is that you can create custom adjustments with very little effort. I primarily use Similarity Scores when I project players for the coming fantasy season. But one thing I’ve struggled with in the past is how to treat players that will see usage changes. The custom features on the app make quick…...
Using the ADP Arbitrage app we can look at a receiver and then see what the Average Draft Position of similar receivers is. This is a way of checking market value. I figured I would bang out a quick article illustrating how I would use the app in making decisions for my fantasy team…....
Calvin Johnson is the greatest. 2012 saw the Georgia Tech alum set the NFL single season record for receiving yards, solidifying himself as the best receiver in the game…....
I’ve coded up another app that will let you look at some similarity scores, with the focus going to quarterbacks this time around. One useful addition this time is that I’ve added a fantasy points/game projection in the 2nd tab (the N+1 tab). The projection is the average of the fantasy points scored in Season N+1 for the comparable group. …...
According to this article on ESPN.com, Kiper’s top 5 wideouts are Cordarrelle Patterson, Keenan Allen, DeAndre Hopkins, Quinton Patton and Tavon Austin. Using the career graph comparison app that I posted here, we can pretty quickly compare the receivers based on their body of work in college. NFL evaluators probably don’t give enough credence to a theory of evaluating wideouts that says basically “If he…...
Just a quick post here on the news that Titus Young has been claimed off of waivers by the St. Louis Rams. Young may be an interesting name if for no other reason than that he could see the ball more in STL than he did in DET. However, I thought it might be interesting to compare Young’s market share numbers from college with the…...
Using the app I posted yesterday which allows you to compare the college careers of receivers, I decided I would take a look at a group of receivers that sort of fit into a group insofar as they have some similarities, but where we can look at their college careers as a way to set expectations for the future…....
The play by play database published by cfbstats.com makes it possible to look at college receivers in terms of efficiency stats, rather than just viewing them in terms of pure counting stats. I thought that maybe one interesting application would be to compare graphs of receivers based on efficiency stats. The app below will let you compare as many receivers as you want based on…...
This is just for fun, but I coded up a quick similar games finder for purposes of looking at the Super Bowl point spread. The app lets you do a few cool things. First, you could look at matchups between any two teams from the 2012 season. If you’re a bummed out Pats fan and you want to see what a point spread might have…...
If you’ve had some time to play around with the running back similarity score app, you may have noticed that pass catching running backs tend to look a little bit better on a year over year change basis. They tend not to fall off as much as running backs that have acquired all of their points in the running game. To illustrate this trend we…...
One of the things I’m always looking for during a fantasy draft is the ability to pick up a player that I think is 90% of another player, but for a much reduced price. Last year I thought that it was realistic to expect that Marques Colston could put up most of Larry Fitzgerald’s production, but for a much lower price (WR16 for Colston, compared…...
Forecasting running back results is an incredibly difficult business. They’re extremely usage dependent, which means that they are subject to the changes in game plan that a team might have either on the season level or at the individual game level. Running backs take a beating, which means that they’re sensitive to injuries. To make matters even more difficult, the NFL is moving steadily towards…...
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