Yards After Catch Calculator

Analyze receiver performance by calculating yards gained after catching the ball. Track YAC efficiency, compare players, and evaluate offensive schemes based on reception location and defensive factors.

About Yards After Catch Calculator

Understanding Yards After Catch (YAC)

Yards After Catch (YAC) represents one of the most important and nuanced statistics in modern football analytics, measuring the distance a receiver gains after successfully catching the football. This metric provides critical insights into offensive efficiency, receiver skills, and scheme effectiveness that simple reception and yardage totals cannot convey. As football has evolved into a more pass-oriented game, YAC has become increasingly central to offensive success, with some NFL offenses specifically designed to maximize yards after reception.

The significance of YAC extends beyond individual player evaluation to broader strategic considerations. Teams with high YAC production often run offenses designed to create space for receivers, prioritize players with exceptional open-field abilities, and employ quarterbacks skilled at ball placement that facilitates additional yardage. The San Francisco 49ers under Kyle Shanahan and the Kansas City Chiefs under Andy Reid have demonstrated how YAC-focused offensive philosophies can create sustainable success even with receiver personnel changes.

Advanced analytics have transformed YAC from a simple counting stat into a sophisticated evaluation tool with predictive value. Modern analysis distinguishes between "expected YAC" based on catch situation and "YAC over expectation" that measures player performance relative to opportunity. This evolution reflects the growing understanding that context—defender proximity, catch depth, field position, and scheme—dramatically impacts YAC potential. The most valuable insights often come not from raw YAC totals but from efficiency metrics that reveal which players and systems consistently outperform situational expectations.

Types of Receptions and YAC Potential

Different reception types offer varying YAC potential due to fundamental differences in field position, defender alignment, and receiver momentum at the catch point. Screen passes typically generate the highest YAC, as they're designed specifically to provide receivers with the ball in space with blockers ahead. These plays sacrifice yards at the catch point (often behind the line of scrimmage) to maximize YAC opportunity. NFL teams average approximately 8-10 YAC per completion on screen plays, though elite execution can produce significantly higher figures.

Short passes (0-10 yards beyond scrimmage) offer moderate YAC potential, with slants, quick outs, and crossing routes being particularly conducive to additional yardage. These routes allow receivers to maintain speed through the catch and often create natural separation from defenders. League averages show approximately 5-6 YAC per completion on short passes, with slot receivers and running backs typically excelling in this area due to their positioning and skill sets.

Medium and deep passes present diminished YAC opportunities but compensate with greater yards at the catch point. Medium passes (10-20 yards) average approximately 3-4 YAC per completion, while deep passes (20+ yards) typically generate only 1-3 YAC. This reduction occurs because defenders have more time to converge on the receiver, who often must adjust speed or position to catch the ball. The notable exceptions are "catch-and-run" deep crossers or post routes where receivers maintain stride through the reception, occasionally producing spectacular YAC totals on longer completions.

YAC Potential by Reception Type

Reception Type	Avg. YAC	YAC %
Screen Passes	8-10	100%+
Short (0-10 yds)	5-6	40-60%
Medium (10-20 yds)	3-4	15-25%
Deep (20+ yds)	1-3	5-10%

Most YAC-Friendly Routes:

Slant: Allows receiver to maintain speed while angling away from coverage
Shallow Cross: Creates horizontal separation with momentum
Angle/Option: Lets running backs leverage space against linebackers
Bubble Screen: Designed specifically to maximize YAC opportunity
Mesh Concepts: Creates traffic that defenders must navigate

Player Attributes that Maximize YAC

Several key athletic attributes significantly impact a player's YAC production potential. Speed remains the most obvious and measurable contributor, with faster players more likely to turn modest gains into explosive plays. Next Gen Stats tracking reveals that players who regularly achieve top speeds above 19-20 mph in games produce approximately 20% more YAC than those with top speeds below 17 mph, even in similar catch situations. This advantage becomes particularly pronounced on longer receptions where players can reach top speed.

Agility and change-of-direction ability often prove even more valuable than straight-line speed for consistent YAC production. Players with exceptional lateral quickness can make defenders miss in tight spaces, turning contained plays into significant gains. The three-cone drill and short shuttle times from player evaluations correlate strongly with YAC efficiency, particularly on short and medium receptions where space navigation is critical. The most productive YAC receivers typically combine these attributes—elite acceleration with the ability to maintain speed through directional changes.

Physical strength and contact balance round out the essential physical traits for YAC production. Breaking tackles represents a crucial component of YAC, with approximately 25% of all YAC in the NFL coming after initial contact. Players who consistently break or avoid tackles generate substantially more YAC than those who don't, regardless of speed profiles. This explains why certain receivers with modest speed measurements like Deebo Samuel or A.J. Brown consistently rank among the league leaders in YAC—their ability to remain upright through contact creates additional yardage opportunities that pure speed cannot.

Key YAC-Generating Abilities:

Acceleration: Ability to reach top speed quickly after catch
Contact Balance: Maintaining stability through defender contact
Field Vision: Identifying and exploiting running lanes
Elusiveness: Making defenders miss in open space
Breaking Tackles: Power to run through arm tackles and glancing hits
Body Control: Changing direction without significant speed reduction

Scheme and Play Design for YAC Optimization

Offensive scheme design plays a crucial role in creating YAC opportunities independent of individual player abilities. The most YAC-efficient systems share common characteristics: they create defensive conflict through misdirection, employ formation and motion to establish leverage advantages, and prioritize plays that allow receivers to catch the ball while maintaining momentum. These principles explain why certain coaches consistently produce high YAC offenses regardless of personnel changes.

Formation and alignment choices significantly impact YAC potential. Bunch and stack formations naturally create traffic that defenders must navigate, often providing receivers with clean release paths and early separation. Wide splits stretch defenses horizontally, creating larger voids in zone coverage schemes. Pre-snap motion serves both to identify coverage types and to create momentum advantages for receivers. Statistical analysis shows that receivers in motion at the snap generate approximately 1.5 more YAC per reception than stationary receivers on similar route concepts.

Route combinations designed to create defensive conflicts consistently yield higher YAC figures than isolated routes. Mesh concepts, where receivers cross paths at shallow depths, force defenders to navigate traffic or switch responsibilities, often creating separation opportunities. High-low concepts that place multiple receivers at different depths in the same vertical lane stress zone defenders' responsibilities. Flood concepts that overload one side of the field with multiple receivers at different levels force defense into coverage compromises. These structured route combinations collectively account for a disproportionate percentage of high-YAC plays in the NFL.

NFL Teams Ranked by YAC Production (Recent Season)

Team	YAC/Reception	% of Total Yards
San Francisco 49ers	6.6	53%
Kansas City Chiefs	6.2	50%
Los Angeles Rams	5.8	48%
NFL Average	5.1	42%
Bottom Team	3.8	32%

Defensive Impact on YAC

Defensive structure and technique significantly influence YAC opportunities and production. Zone coverage schemes typically yield higher YAC figures than man coverage, as defenders playing zone must first identify the completion before transitioning from coverage responsibility to pursuit mode. This brief processing delay creates additional space for receivers to operate after the catch. NFL Next Gen Stats data shows that completions against zone coverage average approximately 1.2 more YAC than similar completions against man coverage.

Defender proximity at the catch point represents perhaps the most direct determinant of YAC potential. NFL tracking data reveals a strong inverse relationship between defender distance and YAC production. When the nearest defender is within 1 yard at the catch point, average YAC drops to approximately 2.8 yards. When the nearest defender is 3+ yards away, average YAC jumps to approximately 6.5 yards. This relationship explains why offenses increasingly emphasize creating separation through scheme rather than relying solely on receiver talent to win individual matchups.

Tackling proficiency varies dramatically across defensive units and significantly impacts YAC allowed. Teams with poor tackling fundamentals typically surrender 15-20% more YAC than teams with strong tackling techniques, even when initial defender positioning is similar. This factor explains why certain defenses consistently outperform expectations in limiting YAC despite surrendering high completion percentages—they compress passing windows effectively and tackle reliably when completions occur. The correlation between tackling efficiency (missed tackles per attempt) and YAC allowed is one of the strongest statistical relationships in defensive analytics.

Defensive Factors Limiting YAC:

Tight Coverage: Minimizing separation at catch point
Pursuit Angles: Defenders taking efficient paths to ball carrier
Gang Tackling: Multiple defenders converging to reduce broken tackles
Defensive Recognition: Quickly identifying play type and responding
Speed Matching: Having defenders with comparable speed to receivers
Pattern Matching: Hybrid coverages that combine zone principles with man techniques

Advanced YAC Metrics and Analytics

Modern football analytics have developed increasingly sophisticated approaches to evaluating YAC beyond simple counting statistics. Expected YAC (xYAC) models incorporate multiple variables—route type, defender distance, field position, down and distance—to establish a baseline expectation for each reception. This approach allows analysts to identify which players and schemes consistently outperform situational expectations. The most advanced models can predict expected YAC within approximately 1.5 yards based solely on pre-catch variables.

YAC over Expected (YAC+) represents the difference between actual YAC and the model's prediction based on situational factors. This metric has proven more stable and predictive than raw YAC totals, as it controls for the vast differences in opportunity between reception types. Players with consistently positive YAC+ figures demonstrate true value-added ability independent of scheme advantages. Similarly, offenses that regularly generate positive YAC+ across multiple receivers likely feature scheme elements that create advantages not fully captured by the baseline model.

Contextual filtering enhances YAC analysis by isolating specific situations to reveal more nuanced insights. Breaking down YAC by route type, coverage scheme, down and distance, or game situation often reveals specialized skills or weaknesses that aggregate statistics obscure. For instance, certain receivers excel at YAC specifically against zone coverage but struggle against man, while others show the opposite pattern. These filtered insights allow teams to deploy personnel optimally against specific defensive approaches and help coordinators design situation-specific play calls that maximize YAC potential.

YAC+ Leaders (Sample Season)

Player	YAC/Rec	YAC+
Deebo Samuel	9.8	+3.2
Christian McCaffrey	8.5	+2.9
A.J. Brown	7.1	+2.6
Justin Jefferson	6.8	+2.4

Historical Evolution of YAC in Football

The importance of YAC in football strategy has evolved dramatically over the sport's history. In the early decades of professional football, when passing was less frequent and less efficient, YAC received minimal attention. The game's vertical orientation—with an emphasis on downfield passing or grinding running games—meant most completed passes were caught near where the receiver would be tackled. Statistical tracking of YAC as a distinct metric didn't begin until the 1990s, reflecting the relatively recent recognition of its strategic importance.

The West Coast Offense, pioneered by Bill Walsh with the Cincinnati Bengals and San Francisco 49ers in the 1970s and 80s, represented the first systematic approach to maximizing YAC. This revolutionary scheme emphasized shorter, high-percentage passes designed to put receivers in position to gain additional yardage after the catch. The offense's precision timing and specific route depths were explicitly designed to create YAC opportunities. The 49ers' dynasty teams featuring Jerry Rice—arguably the greatest YAC receiver in NFL history—demonstrated how this approach could produce both efficiency and explosiveness.

Modern offensive evolution has made YAC central to passing game strategy across the NFL. The proliferation of spread concepts, increased use of running backs and tight ends as receivers, and emphasis on quick-release passing to counter improved pass rushes have all contributed to YAC's growing importance. Recent rule changes protecting receivers from certain types of hits have further enhanced YAC opportunities by reducing defenders' ability to deliver immediate stops. These factors collectively explain why YAC now accounts for approximately 50% of all passing yards in the NFL, up from roughly 35-40% two decades ago.

YAC Evolution Timeline:

1970s: West Coast Offense development emphasizes ball placement for YAC
1980s-90s: Rice and 49ers dynasty showcase YAC potential in championship offenses
Early 2000s: Slot receiver specialization increases with emphasis on quick passes
2010s: RPO (Run-Pass Option) concepts create natural YAC opportunities
Late 2010s-Present: Motion usage increases dramatically to create YAC advantage
Present: Analytics-driven approaches optimize play design specifically for YAC

Position-Specific YAC Analysis

Different offensive positions produce YAC through distinct mechanisms and at varying rates. Running backs typically generate the highest YAC per reception among position groups, averaging approximately 8.5 yards after catch across the NFL. This advantage stems from several factors: they often receive passes in designed screen scenarios with blockers ahead, frequently catch passes in the flat with room to operate, and possess running skills specifically developed for creating yardage after contact. Additionally, defenders covering running backs are often linebackers who may have disadvantages in open-field tackling against shifty athletes.

Wide receivers show the greatest variance in YAC production based on usage patterns and skill profiles. Slot receivers typically generate more YAC than outside receivers, averaging approximately 5.5 YAC per reception compared to 4.2 for boundary receivers. This differential reflects both opportunity (slot receivers more often run routes designed for YAC) and skill specialization (slots typically emphasize quickness and route-running precision over contested catch ability). Within these positions, dramatic differences exist between YAC specialists and traditional "possession" receivers, with the former sometimes doubling the YAC production of the latter.

Tight ends present unique YAC considerations due to their hybrid positioning. Modern "move" tight ends who frequently align in the slot or as H-backs typically generate more YAC (approximately 5.0 per reception) than traditional inline tight ends (approximately 3.8 per reception). This difference reflects both their typical usage patterns and athletic profiles. However, tight ends as a group often produce some of the most efficient YAC on a per-opportunity basis because their size makes them difficult to tackle immediately, particularly for defensive backs, while their improving athleticism allows them to outrun linebackers after the catch.

Average YAC by Position

Position	Avg. YAC	YAC % of Total
Running Backs	8.5	~75%
Slot Receivers	5.5	~50%
Tight Ends	5.0	~45%
Outside Receivers	4.2	~35%

Using the YAC Calculator

Our Yards After Catch Calculator provides a comprehensive tool for analyzing receiver performance by estimating YAC production and efficiency based on key contextual factors. The calculator employs a model derived from NFL tracking and statistical data to estimate both total YAC and YAC efficiency ratings. By inputting total receiving yards, number of receptions, average catch position, defenders near the catch point, and player speed, users receive detailed analysis of YAC performance relative to expectations.

For most accurate results, users should input precise values that reflect the specific receiving scenarios being analyzed. The total receiving yards and number of receptions establish the baseline production metrics. Average catch position should reflect where the majority of receptions occur—screen/behind line of scrimmage, short (0-10 yards downfield), medium (10-20 yards), or deep (20+ yards). The average number of defenders near the catch point significantly impacts YAC potential, with fewer defenders generally creating greater opportunity. Player speed, ideally measured in top miles per hour, helps the model account for athleticism in YAC projection.

The calculator has multiple practical applications beyond simple performance measurement. Coaches can use it to evaluate which receivers excel in YAC production relative to their opportunities, helping inform personnel deployment in specific situations. Offensive coordinators might leverage the insights to identify which route types and field positions maximize YAC potential for particular players. Fantasy football players can utilize the calculator to identify receivers who might be undervalued based on traditional statistics but demonstrate excellent YAC efficiency. The tool also serves educational purposes, helping fans better understand the components that contribute to effective receiving performance beyond simple yardage totals.

Calculator Applications:

Player performance evaluation and comparison
Offensive scheme assessment and optimization
Fantasy football player analysis and projection
Receiver development focus areas identification
Route tree and passing game design optimization
Historical comparison of receiver performances

Educational Applications and Coaching

Understanding YAC principles offers substantial value to coaches developing receivers at all levels of competition. Youth and high school coaches can implement fundamentals that enhance YAC production even before players reach physical maturity. Emphasizing proper catching technique—securing the ball quickly and transitioning to a running position without breaking stride—creates habits that maximize YAC potential. Teaching field vision through cone drills and small-area games helps young receivers develop the spatial awareness necessary for finding running lanes after receptions.

Practice structure can significantly impact YAC development when designed with specific principles in mind. Drills that isolate key YAC skills—such as "catch and cut" exercises requiring immediate directional changes after reception—build muscle memory for game situations. Competitive drills pitting receivers against defenders in open-field scenarios after controlled catches help players develop situational awareness and tactical decision-making. Incorporating variable defender angles and approaches teaches receivers to identify and exploit leverage advantages in real time.

Film study focused specifically on YAC production provides valuable educational opportunities for players. Breaking down successful YAC plays to identify decision points, body positioning, and defender manipulation techniques shows receivers the subtle details that create additional yardage. Comparative analysis of similar plays with different outcomes helps illustrate how small technical adjustments can dramatically change results. Technology integration, including tracking player movement and speed during practice, enables coaches to provide data-driven feedback on acceleration, cutting efficiency, and other technical elements of YAC production.

YAC Development Drills:

Gauntlet Drill: Catching passes while running between obstacles
Cone Reaction: Catching passes then cutting based on coach signals
Tackle Break Station: Practicing specific techniques to defeat tackle attempts
Vision Progression: Catching passes with multiple running lanes marked
Acceleration Ladder: Focusing on immediate burst after securing reception
Balance Beam Catches: Developing body control while receiving passes

Frequently Asked Questions

What is considered a good yards after catch (YAC) average?

A good YAC average varies by position and role. For running backs, 7-9 YAC per reception is considered strong. Slot receivers typically aim for 5-6 YAC, while outside receivers average 3-5 YAC depending on their route assignments. Elite YAC producers like Deebo Samuel or Christian McCaffrey may average 8+ YAC across a season, significantly above position averages. More important than raw averages is YAC efficiency—how a player performs relative to the expected YAC for their specific reception types.

How do defensive schemes affect YAC opportunity?

Defensive schemes significantly impact YAC potential. Zone coverage typically allows more YAC than man coverage because defenders have further to travel after the catch is made. Soft coverage shells (like Cover 3 or Cover 4) designed to prevent deep passes often surrender more underneath YAC. Blitz-heavy schemes can create YAC opportunities when the ball is thrown quickly to the vacated area. Defenses that emphasize rallying to the ball and sound tackling fundamentals generally limit YAC regardless of coverage type.

Which NFL teams are most effective at generating YAC?

Teams with offensive systems designed to maximize YAC include the San Francisco 49ers, Kansas City Chiefs, and Los Angeles Rams. The 49ers under Kyle Shanahan have consistently ranked at or near the top in YAC production, employing pre-snap motion, misdirection, and specific route concepts that create space after the catch. Teams that feature elite YAC producers like the 49ers (Deebo Samuel, Christian McCaffrey) or the Dolphins (Tyreek Hill, Jaylen Waddle) typically lead the league in this category.

How much does quarterback accuracy affect YAC production?

Quarterback accuracy significantly impacts YAC potential. Perfect ball placement—hitting receivers in stride and on the correct side away from defenders—can add 2-3 YAC per reception compared to passes that force receivers to adjust speed or body position. The best YAC-enabling quarterbacks anticipate throwing windows and understand how to lead receivers into space. Timing is equally important as location; passes arriving precisely when receivers are creating separation maximize YAC opportunity. This explains why some quarterbacks consistently produce higher YAC figures than others, even with similar receiver talent.

Can YAC ability be coached or is it purely athletic?

YAC ability is both an athletic trait and a coachable skill. While natural attributes like speed, agility, and strength create the foundation for YAC production, technique and decision-making can be developed through coaching. Teachable aspects include field vision (identifying optimal running paths), body positioning (catching in a stance that facilitates immediate acceleration), defender manipulation (setting up and using cuts effectively), and ball security techniques that don't sacrifice speed. Even physically limited receivers can become efficient YAC producers through technical excellence and situational awareness.

How does route type affect YAC potential?

Route type dramatically affects YAC potential. Screen passes and flat routes typically generate the highest YAC figures because they're designed specifically to provide the receiver space with blocking ahead. Slant routes offer strong YAC potential by allowing receivers to maintain speed through the catch while angling away from defenders. Crossing routes create natural separation with momentum. Conversely, comeback routes, deep outs, and boundary fades offer minimal YAC opportunity as they typically position receivers near the sideline or with defenders closing quickly.

Why do running backs typically have higher YAC averages than receivers?

Running backs average higher YAC figures than receivers for several reasons. First, they frequently catch passes in designed screen plays with blocking ahead. Second, they often serve as check-down options in the flat with open space available. Third, they're specifically trained in open-field running and tackle breaking as core skills of their position. Fourth, they're typically covered by linebackers who may have disadvantages in open-space tackling compared to defensive backs. Finally, their receptions come at shorter average depths, giving them more field to work with after the catch.

How accurate is the YAC Calculator?

The YAC Calculator provides estimates based on statistical modeling of NFL tracking and performance data. It accounts for the key variables that determine YAC production: reception depth, defender proximity, player speed, and reception quantity. The calculator typically produces estimates within 10-15% of actual YAC production when provided with accurate inputs. The efficiency rating is particularly valuable as it compares production to expected outcomes based on reception context. For most accurate results, users should input precise values, especially for catch position and player speed.