
is a rating system that penalizes based on the OT either being beaten or allowing himself or the rusher to enter three zones around the QB: buffer (1.5yds), danger (1.0yds) or sack (<.7yds). It is based on a scale of 0-3 and comprises the primary metric for overall evaluation akin to PFF ranking of OL. These are strictly speaking position based or coordinate based ratings relative to the QB. Qualitative metrics are noted below I use two scales the QBI and the QBI+Style Metrics for evaluation. QBI data is held in the qbi_metrics table in the db.

Is an evaluation of such things as Momentum, the euclidean distance relative to start and end of play during interface between blocker and defender, the QB-DE rating and euclidean scores. So that 3 metrics are created through the block metrics algo: qb-de rating (0,1), qb-de euclidean (float), momentum (0-100) and efficiency (0-100). QB-DE Euclidean is the measurement of whether the distance has increased from the start of itnerface to the end of the interface b/w the Blocker and Defender, increase in distance of defender from QB. Momentum is a measure of whether the blocker slows the rate of closure on the QB, measured on a frame by frame basis, score reflects total percentage of frames where momentum decreased during interface. Efficiency is a measure of whether a block is using arm block or close or control block style (i.e. body close to other body)

Is an evaluation based on the concept of divergence of the defender from taking a straight line toward the quarterback, the ability of the blocker to deter the rusher from the shortest path toward his target, the QB, it is also based in measuring the euclidean. This euclidean is a measurement from the defenders position compared to his predicted position on a straight line to the QB from his previous position. The higher the euclidean distance the better the result, the higher one is off the straight line to the QB.

Is a measure that looks at the d between the DE and the QB. If the d of the DE increases, between the QB and DE, from the start of the interaction to the end of the interface length a positive score is given and the QB-DE Rating is given as 1, otherwise it is scored as 0 (0,1). If the euclidean average value is above 4yds then a positive score is given. It is important to note that this value usually increases on edge rushes when the arc is affected by the OT to push the rusher away or outward from the QB, arc increases. This can be seen in the plots provided at the link below. A source of noise for this measurement is a scrambling QB that either scrambles toward the DE or away, future versions will need to detect this anomaly.
born and raised near Canton, OH, home of the HOF, I developed an intense interest in all things football, so it is natural to apply Data Science to football as an adult. I use Python for backend development of algorithms to put the ratings together and HTML5 and Javascript for web and mobile presentation layers. Read Research Paper about these Metrics
measuring straight line distances
Euclidean distance, also known as the "straight-line" distance, is a measure of the distance between two points in a multi-dimensional space. It is one of the most commonly used distance metrics in mathematics and computer science, and is named after the ancient Greek mathematician Euclid.
The Euclidean distance between two points, P and Q, is defined as the square root of the sum of the squares of the differences between the corresponding coordinates of the two points. In other words, given two points P(x1, y1) and Q(x2, y2), the Euclidean distance between them is:
d(P,Q) = sqrt((x2-x1)^2 + (y2-y1)^2)
This can be extended to more than two dimensions as well. It is just sum of the square of the difference of the coordinates. For Example, if we have point P(x1,y1,z1) and Q(x2,y2,z2) the euclidean distance will be:
d(P,Q) = sqrt((x2-x1)^2 + (y2-y1)^2+(z2-z1)^2)
Euclidean distance is widely used in various fields such as physics, engineering, and computer science, particularly in the fields of pattern recognition, image processing, and computer vision. In machine learning, it is used in algorithms such as k-means clustering, which groups similar data points together based on their distance from the centroid of the group.
It is important to note that Euclidean distance is sensitive to the scale of the coordinates and the units of measurement. In cases where the units of measurement are not the same for all coordinates, it's better to normalize the data before calculating the Euclidean distance. Moreover, when working with large numbers, the Euclidean distance can become very large, and in such cases, it is more meaningful to use a normalized or relative distance measure.
different positions of protecting the QB and opening up running lanes
The offensive line is one of the most important units in an American football team. The offensive line's main responsibility is to block for the quarterback and open running lanes for the running backs. The offensive line is made up of five players, each with a specific role and responsibilities. These roles are the center, guards, and tackles.
The center is the player who snaps the ball to the quarterback to start each play. They are also responsible for making the blocking calls for the offensive line and adjusting the protection schemes to account for any pre-snap movement by the defense. The center is typically the smallest player on the offensive line and must have quick feet, good balance, and strong hands to handle the snap effectively.
The guards are the players who line up on either side of the center. They are responsible for protecting the inside running lanes and keeping defenders away from the quarterback. Guards are typically the bigger and stronger players on the offensive line, with a combination of size, strength, and agility to move defenders out of the way.
The tackles are the players who line up on the ends of the offensive line. They are responsible for protecting the edges of the line, and keeping the defensive ends and outside linebackers away from the quarterback. Tackles are typically the tallest and heaviest players on the offensive line, with size, strength, and quickness to handle the fast and agile pass rushers.
Each position has different characteristics, skills, and physical attributes that are necessary to play their role on the offensive line. Centers need quick feet, good balance, and strong hands; guards need size, strength and agility; Tackles need size, strength and quickness. They also have different roles during pass protection, run blocking, and different schemes.
The offensive line is a critical part of a football team's success. The offensive line's ability to protect the quarterback and open up running lanes can make or break an offense. The five players on the offensive line must work together as a unit, with each player taking responsibility for their specific role. With the right combination of talent and teamwork, an offensive line can help lead a team to victory.
In conclusion, the offensive line is a vital part of an American football team, they are the ones who pave the way for the offense. They are made up of five players, the center, guards, and tackles, each with specific roles and responsibilities. They require different characteristics, skills and physical attributes to perform their role effectively, and their coordination and collaboration can play a crucial role in a team's success.
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