An NFL statistician, who asked not to be identified, has spent nearly a decade trying to quantify the number of yards and touchdowns a player receives for every pass.
For the past two seasons, he has also analyzed statistics about the number and types of receptions and kickoffs a player makes.
His goal is to understand the true value of each play, how often a player’s role can affect the outcome of a game, and how much influence a team has on the outcome.
For his work, he said, he relies on three factors: his own experience, the league’s statistical data, and the league-wide stats of each team.
His first step was to study every pass thrown in each NFL game.
The goal is, essentially, to find the average number of times each pass is thrown per pass attempted.
He then analyzed each play in a way that shows a player can influence the outcome on every play.
His approach was also aimed at helping the league analyze data.
In his data, he looked at every play in the league and divided it into two categories: plays that were completed with a first down or a touchdown, and plays that resulted in a first downs.
He also examined whether a play had any sort of spike in play-action, a play that was played when the quarterback had the ball in his hands.
The spike occurs when the ball is snapped but the quarterback can’t complete a pass, and it occurs more frequently in the fourth quarter of games.
To determine how often each of these plays occurs, he used data from every NFL game from 2013 to 2016.
That allowed him to use all of the data that was available to him, such as the number or types of catches that each receiver made, the number that each quarterback made or failed to make, and whether the offense completed passes that resulted from plays where either of the two players made contact with the other.
He said he was particularly interested in whether a player who had the first down had a better chance of being the first one to complete a play than a player that had the other one.
“If a player was more likely to have the first chance to complete the play, he was more successful, because he had more time to complete it,” he said.
“The more time he had, the higher his completion percentage was.”
He also analyzed whether a team had a greater chance of scoring a touchdown than a team that had not.
The touchdown rate was the percentage of plays that a team scored a touchdown in the first half of a half.
To figure out whether a game was close, he compared that to a game’s scoring average in the second half.
“For a touchdown scored, we looked at the touchdown percentage of the teams that had scored the touchdown,” he explained.
“And we looked back at the score to see if that number was higher than the team score.
So, if we look back and say, ‘This was a close game, we’re going to win this one,’ we’ll say ‘Yes.'”
He found that teams that scored touchdowns tended to have better scoring average than teams that didn’t score touchdowns, he found.
But, he noted, it was unclear how much of that was the result of a team’s ability to score touchdowns or whether the teams were equally good at scoring touchdowns.
He then compared the scoring average to how often the quarterback completed the play and whether he threw the ball or not.
He used the same metrics to look at the number, type and types or percentages of passes that a player had thrown.
“What we found was, if a team made fewer passes than the league average, they would score more points,” he continued.
“There was no difference in the number one and second most efficient passing offenses.
If a team was averaging fewer passes, they’d score fewer points.”
The team that scored the most points also scored the highest in points per game.
“So, if you look at a team like the Packers that scored over 2,000 points per season, they have a scoring average that was about 2,500 points,” said K.J. Costello, who helped design the NFL statistics.
“So, they were scoring more points per possession than their opponents.
That’s a very strong correlation.”
In other words, teams that made fewer plays were more likely than teams with more possessions to score more goals and more points.
“And the teams who scored the more points were scoring in the playoffs, so, they’re winning,” Costello added.
“That’s a strong correlation, but it doesn’t say much about whether the league is going to do well or not.”
Costello said he is not a statistician by training.
He is an analyst who works with teams.
He has done his own research, he did not work with a team, and he does not know the league or its players personally.
Costello’s research, however