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Defensive Runs Saved

Defensive Runs Saved () is a sabermetric in that measures a fielder's defensive performance by estimating the number of runs they save or cost their team compared to an average player at the same position. Developed by statistician John Dewan, was first introduced in the second edition of The Fielding Bible in 2009 as an evolution of earlier defensive metrics like adjusted and zone ratings. It builds on Dewan's prior work with systems from the and , aiming to provide a comprehensive, run-based evaluation of fielding that integrates multiple aspects of . Subsequent updates, including the 2020 PART system (, , , ) for infielders, have further refined its components. DRS is calculated using video-scouted data from Baseball Info Solutions (BIS), where observers grade every and play to assess , reaction, and execution against expected outcomes for an average . The metric combines several components to yield a total run value: Runs Saved (rPM) evaluates a player's ability to convert s into outs based on location and type; Outfield Arms Runs Saved (rARM) credits throws that prevent runners from advancing; Runs Saved (rGDP) measures turning potential double plays at second and ; Bunt Runs Saved (rBU) assesses handling bunts at first and third base; Runs Saved (rSB) quantifies catchers' and pitchers' success in preventing steals; and Runs Saved (rHR) accounts for robbing s, valued at approximately 1.6 runs each. Later refinements added elements like pitch framing for catchers, known as Runs Saved. A positive DRS indicates runs saved above average, with elite fielders typically posting 15 to 20 or more per season, while negative values reflect below-average performance; for context, a team’s total defensive contribution includes summed player DRS plus adjustments for positioning. DRS has become influential in player evaluation, powering the Fielding Bible Awards since 2009 (which began in 2006 using precursor metrics) and influencing MLB's Gold Glove selections, though it shares limitations with other advanced metrics, such as sensitivity to small sample sizes and challenges in accounting for defensive shifts.

Introduction

Definition

Defensive Runs Saved () is a sabermetric that quantifies a player's defensive contributions by estimating the number of runs they save or allow compared to an at the same . A positive DRS value indicates that the player has saved runs for their team through superior fielding, while a negative value signifies runs allowed due to below-average performance relative to peers. This metric is inherently position-specific, as defensive demands vary across positions such as , , or , and scales with playing time, as it measures total runs saved during the player's defensive opportunities. Additionally, DRS accounts for positional difficulty, ensuring fair comparisons within roles like versus first base. In practical terms, a DRS of +10 for a player means they prevented 10 more runs from scoring defensively over the course of a season than an performer at their would have. This run-based framework allows to integrate seamlessly into broader player evaluation models, such as (WAR).

Purpose in Baseball Analytics

Defensive Runs Saved (DRS) emerged as a key metric in the analytics revolution to provide an objective evaluation of defensive performance, moving beyond subjective observations and rudimentary statistics toward data-driven insights. Traditional metrics like fielding percentage, which primarily track error rates on balls put in play, fail to capture essential aspects of defense such as a player's or ability to prevent runners from advancing. In contrast, addresses these limitations by integrating multiple defensive elements—including , arm strength, error avoidance, and double-play proficiency—into a unified, run-valued measure that quantifies a player's overall impact relative to an average defender at their position. This run-based framework allows DRS to serve as a context-neutral tool for assessing defensive contributions, enabling comparisons across players and positions in the without bias from park dimensions or league-wide shifts in play. By expressing defensive value in terms of runs prevented or allowed, DRS facilitates its seamless integration with offensive and baserunning statistics within comprehensive player evaluation systems like (WAR), where it directly contributes to the fielding component. For instance, Baseball-Reference's version of WAR employs DRS to calculate fielding runs, providing a holistic of a player's total value that informs strategic decisions in . Ultimately, the purpose of lies in empowering scouts, front offices, and analysts with a reliable, quantifiable metric for talent identification, roster optimization, and contract negotiations, thereby enhancing the precision of baseball's analytical ecosystem. Its adoption underscores a broader shift toward objective defense evaluation, allowing teams to identify undervalued defenders and allocate resources more effectively in an era dominated by advanced data.

History and Development

Origins

Defensive Runs Saved (DRS) originated from work by John Dewan and Baseball Info Solutions (BIS), which began developing advanced defensive metrics in 2003. The inaugural The Fielding Bible (2006) introduced the system as part of its project to revolutionize fielding through statistical , covering the 2005 season. This emerged during the era, where traditional metrics like fielding percentage were inadequate, building on zone-based systems such as those developed by Mitchel Lichtman in the early . Dewan, experienced in baseball data, aimed for a comprehensive run-based metric to quantify defensive value relative to average, overcoming subjective and data-limited prior methods. The initial plus/minus relied on BIS's video review of every MLB play, classifying batted balls by type, speed, trajectory, and location with pixel-accurate coordinates. This detailed process, scaled in the mid-2000s, assessed range, arm strength, and play-making beyond earlier approximations. DRS evolved from this, launching in the second edition of The Fielding Bible (2009), with data retroactively available from 2003. The 2006 book highlighted performers like shortstop Adam Everett, who led with 34 runs saved in 2005, demonstrating potential for scouting and decisions. Initially proprietary to MLB teams, its publication spurred interest in run-based defense.

Evolution and Adoption

Following initial development in by Baseball Info Solutions (BIS), Defensive Runs Saved gained visibility through analytics platforms. In 2010, Baseball-Reference incorporated DRS into (WAR) calculations from onward, enhancing player evaluations. This underscored DRS's role beyond traditional metrics in . In the , refined with technology and game changes. Post-2015, it integrated batted ball speed and trajectory from MLB's , improving range accuracy for harder-hit balls. Adjustments for defensive shifts were incorporated starting from the 2013 season; in 2016, as shifts proliferated, they accounted for 31% of infielders' total runs saved or cost. These enhanced for modern strategies. MLB adoption grew in the mid-2010s, influencing acquisitions. The traded for in November 2015, partly due to his league-leading +32 that season. By 2020, was standard in platforms like and the Fielding Bible, used in scouting and contracts. DRS faces criticism for subjectivity in BIS video scouting, like error and positioning calls. Developers adopted hybrid models blending video with data, reducing human judgment while retaining context. By 2023, 20 years of data (from 2003) supported studies of trends; as of 2025, it remains key for Fielding Bible Awards.

Calculation Methodology

Data Collection

The primary data for Defensive Runs Saved (DRS) is collected through video scouting conducted by Baseball Info Solutions (BIS), which has tracked defensive plays in (MLB) since 2003. BIS employs a team of video scouts who review footage of every MLB game, logging details for approximately 150,000 s per season, including the precise location where the ball is hit (recorded as pixel coordinates on a computer screen and converted to angles and distances from home plate), the type of batted ball (such as grounder, line drive, fly ball, pop-up, or bunt), its velocity (classified as soft, medium, or hard), and the trajectory since refinements in 2006. Since 2009, scouts have also timed each 's speed and path—ground balls until first touched by a fielder or reaching the outfield grass, and fly balls until caught or landing—to provide measures of hang time and roll. This comprehensive logging captures the outcome of each play, whether an out, hit, or , forming the foundational input for evaluating fielder performance relative to expected results. In addition to batted ball data, BIS scouts record player positioning at the moment the is , which influences the assessment of and opportunity for plays, as well as specific actions like strength on outfield throws (evaluating accuracy and speed to bases or cutoffs) and double-play turns by infielders (measuring efficiency and execution rates). These elements contribute to components of DRS such as outfield runs saved and double-play runs saved, which quantify how fielders prevent extra bases or additional outs compared to averages. Post-2015, following the of MLB's tracking system, BIS integrated automated data including exit velocity (the speed of the ball off the bat) and launch angle (the vertical ), enhancing the precision of play-by-play analysis starting in the 2016 season. In 2020, further enhancements incorporated data into the ART (Air, , Throwing) component for infielders, splitting fielder credit into positioning, air balls, , and throwing for more advanced evaluation. The scouting process involves assigning "plays" to fielders based on zone-based systems, similar to those used in metrics, where zones are divided across the field and plays are rated by whether a fielder converts an expected out (based on historical probabilities for similar batted balls) or allows a hit that an average player would prevent. To ensure consistency, data is processed through zone ratings that compare actual outcomes to league norms, with aggregation across all plays to isolate individual contributions. While raw play logs are maintained for internal validation, the final datasets are anonymized and aggregated at the player and team levels to protect proprietary details and comply with MLB data-sharing protocols. Quality control is integral to the process, with scouts completing a minimum of three passes through each game's video footage to verify entries, supported by automated software checks for inconsistencies in coordinates, timings, and classifications. Auditing reports are generated regularly, and a subset of plays undergoes secondary review by additional scouts to monitor , reducing subjective bias and ensuring high accuracy—early implementations saw "no video" plays drop from 8% in 2002 to effectively 0% by 2011 through improved tools and protocols.

Key Components and Formulas

Defensive Runs Saved () is calculated as the sum of several key components that quantify a player's defensive contributions in terms of runs prevented or allowed compared to an fielder at their . As of , the primary components include: ART (Air, Range, and Throwing Runs Saved for infielders), Range and Positioning Runs Saved, Arm Runs Saved, Runs Saved (rGDP), Bunt Runs Saved (rBU), Good Plays/Misplays Runs Saved (which includes errors), and Stolen Base Runs Saved (rSB), Adjusted Earned Runs Saved ( blocking), Runs Saved (pitch framing for catchers), and Home Run Runs Saved (rHR, for robbing home runs). This total represents the net runs saved over a , typically scaled to a full-time player's workload of approximately 1,350 for comparability across . Positional adjustment, which accounts for the inherent difficulty of each , is not included in DRS but is added separately when computing total defensive value in metrics like (). ART measures infielders' performance on balls hit in the air, range to ground balls, and throwing , using combined BIS video and since 2020 to split contributions more precisely. and Positioning Runs Saved (for non-infielders or supplemental) measure a fielder's to convert batted balls into outs based on the play's , speed, and type, using video-scouted to determine expected rates. The component is derived from the difference between actual plays made and expected plays, multiplied by a run value specific to the play outcome; for instance, converting a ground ball into an out might be valued at approximately +0.35 runs, reflecting the average run expectancy change for that type of out. A specific example involves a fielding a 65-75 ground ball in a low-probability zone with a 23% rate: making the play credits +0.77 runs (1.00 minus the expected success probability), while failing it debits -0.23 runs. This approach uses a "24-States Run " to assign precise run values based on game situations. Double Play Runs Saved (rGDP) evaluates infielders' efficiency in turning potential s, particularly for second basemen and shortstops, by comparing actual conversions to league averages adjusted for characteristics like speed and . Credit is split between the lead fielder and pivot man, with run values derived from the incremental runs saved by a over a single out (typically around +0.5 to +1 run per successful double play above average, depending on runners on base). This includes handling grounders into double-play situations, with timer data since to refine probabilities. Outfield Arm Runs Saved (rARM) assess outfielders' throwing ability by tracking runner advancement on hits, comparing actual outcomes to expected bases gained or outs recorded. For example, preventing an extra base might save approximately +0.2 runs per instance, based on run expectancy differences, while miscellaneous "kills" (e.g., throwing out advancing runners) are valued at +0.75 runs each. The calculation factors in hit type (grounders vs. fly balls), location, and throw velocity to isolate arm impact. Good Plays/Misplays Runs Saved tracks over 60 types of plays, including that allow baserunners. Each is typically valued at -1 run, adjusted for severity and (e.g., an error on a routine grounder allowing a runner to reach might cost more than a minor overthrow), using run expectancy to quantify the impact. This component also credits good plays that prevent advancement. Catcher-specific components include Stolen Base Runs Saved (rSB, crediting 35% of responsibility to the catcher, with each prevented steal valued at approximately +0.65 runs), Strike Zone Runs Saved (framing, around +0.125 runs per strike gained), and Adjusted Earned Runs Saved (blocking wild pitches and passed balls). These are regressed for sample size and adjusted for pitching staff quality to isolate the catcher's contribution. Home Run Runs Saved (rHR) credits fielders for robbing home runs, valued at approximately 1.6 runs each. Bunt Runs Saved (rBU) assesses handling bunts at first and third base (and catchers/pitchers). Positional adjustment accounts for the inherent difficulty of each defensive position and is applied separately from , adding or subtracting runs based on full-season equivalents (1,458 ). The values are as follows:
PositionAdjustment (Runs per Full Season)
(C)+12.5
First Base (1B)-12.5
Second Base (2B)+2.5
Shortstop (SS)+7.5
Third Base (3B)+2.5
Left Field (LF)-7.5
Center Field (CF)+2.5
Right Field (RF)-7.5
(DH)-17.5
For partial seasons, the adjustment is prorated: (Innings Played / 1,458) × Position . For example, a playing 1,000 receives +5.15 runs (+7.5 × 1,000 / 1,458).

Applications and Comparisons

Use in Player Evaluation

Defensive Runs Saved () plays a key role in MLB and drafting by providing a quantifiable measure of a player's defensive , allowing teams to project future contributions and prioritize prospects with high defensive potential, particularly at up-the-middle positions like and center field. Analytics-driven organizations, such as the Houston Astros and , integrate and similar metrics (e.g., Outs Above Average) into their evaluation processes to assess defensive skills alongside offensive projections, using tools like to correlate these stats with overall player in (). For instance, the Astros highlighted Carlos Correa's elite defensive metrics, including a +12 OAA in his early career, as a factor in drafting and developing up-the-middle defenders during the , emphasizing range and arm strength in trade and prospect acquisitions. In contract negotiations, significantly influences free-agent deals by demonstrating a player's run-saving impact, often leading to premium compensation for elite defenders. Empirical analysis of contracts from 2012 to 2015 shows that each additional run saved via correlates with a 3.5% increase in free-agent salary, underscoring its role in quantifying defensive worth comparable to offensive metrics. A prominent example is , whose exceptional totals—leading MLB with +41 in 2013—contributed to the extending him a seven-year, $58 million contract in 2014, recognizing his glove as a cornerstone asset despite modest offensive output. DRS also guides strategic decisions in defensive alignments and shifts, enabling teams to optimize positioning based on batted-ball data to maximize run prevention. Prior to MLB's 2023 ban on extreme infield shifts, DRS incorporated shift-specific components to quantify their value, with shift plays accounting for up to 43% of total runs saved or cost by 2019, helping managers like those in the Rays organization evaluate alignment effectiveness through metrics like Good Fielding Plays and Defensive Misplays. Following the 2023 ban, shift contributions to DRS have diminished, with teams adapting through optimized traditional alignments, saving approximately 5-10 runs per season for top units as of 2025. This data-driven approach allowed teams to deploy shifts against pull-heavy hitters, saving an estimated 10-15 runs per season for top units, and informed broader tactical shifts toward versatile defenders. Despite its utility, DRS has limitations in player evaluation, requiring contextual adjustments such as park factors—though it is inherently park-adjusted—and large sample sizes for reliability, making it less predictive for with limited MLB exposure. Defensive metrics like DRS exhibit high variability in small samples (under one full season), necessitating 1-3 years of data to stabilize estimates and avoid over- or under-valuing prospects transitioning from the minors. Teams mitigate this by combining DRS with reports and complementary stats, ensuring holistic assessments.

Comparison to Other Defensive Metrics

Defensive Runs Saved () shares methodological similarities with Ultimate Zone Rating (UZR), as both metrics estimate a fielder's defensive contribution in runs above or below average using zones to evaluate the success rate of converting batted balls into outs. However, relies on video by Baseball Info Solutions () observers to classify plays on a play-by-play basis, incorporating factors like arm strength, errors, and double plays, which provides greater accuracy for those elements. In contrast, UZR depends primarily on hit location data from to assess range and consistency, without the same level of subjective input. The two metrics exhibit a strong for qualified starting fielders, indicating they generally agree on player rankings, though 's inclusion of specialized components for catchers (e.g., ) and pitchers (e.g., balls blocked) extends its scope beyond UZR's focus on positional fielders. DRS evolved directly from the system, an earlier metric that quantified a fielder's plays made relative to an average performer at their position, often resulting in higher due to its binary counting of successes and failures without run-value scaling. DRS refines Plus/Minus by assigning run values to each play using a run expectancy matrix, which estimates the impact on scoring outcomes, and incorporates positional adjustments to account for varying defensive demands across the field. This approach reduces year-to-year instability in evaluations, as the run-based framework smooths out the raw play counts from Plus/Minus, leading to more stable assessments of long-term defensive talent. Compared to traditional statistics like , which simply measures the ratio of successful plays to total chances (putouts plus assists divided by total opportunities including errors), provides a more nuanced evaluation by capturing , arm strength, and the contextual difficulty of plays. Fielding Percentage overlooks opportunities where fielders fail to reach hittable balls and treats all errors equally, ignoring their run impact or the skill required for routine versus challenging chances; for instance, a fielder with a perfect 1.000 Fielding Percentage but limited range might still record a negative due to missed opportunities on reachable balls. thus excels in highlighting comprehensive defensive value, whereas traditional metrics like Fielding Percentage remain limited to error avoidance without addressing proactive fielding contributions. Among advanced metrics, DRS stands out for its broad coverage, integrating multiple defensive facets into a single run estimate, but it faces criticism for potential subjectivity in video classifications, which can introduce measurement error despite standardization efforts. To mitigate this, analysts often average DRS with UZR for more robust player evaluations, leveraging UZR's data-driven consistency to balance DRS's detailed but observer-dependent insights. This complementary use underscores DRS's strength in holistic assessment while acknowledging the need for cross-validation in defensive analysis.

Records and Leaders

Single-Season Leaders

The single-season record for Defensive Runs Saved (DRS) in the (since systematic tracking began in 2003) is held by , who recorded +41 in 2017 with the , a performance that underscored his elite range and arm strength at a premium position. This mark contributed to his sixth consecutive . In the (post-2002), the leaders are dominated by s due to the position's high volume of defensive opportunities and the metric's emphasis on range and error avoidance. Adam Everett's +24 in 2006 with the Houston Astros ranks among the top seasons, where he led the league in fielding percentage at and earned a Gold Glove. High values often correlate with Gold Glove wins, as seen in Simmons' and Everett's seasons, though factors like defensive shifts in the inflated numbers for infielders by optimizing positioning against tendencies. By position, outfield examples include Juan Pierre's +20 in 2003 with the Chicago Cubs, driven by his speed and gap coverage. At , Yadier Molina's +19 in 2012 with the St. Louis Cardinals incorporated framing and pop time advantages, earning him a . More recent seasons show lower peaks, with the 2025 season's highest DRS at +22 by Steven Kwan (Cleveland Guardians, LF) and Ernie Clement (Toronto Blue Jays, 3B), benefiting from individual skill post-MLB's 2023 shift ban. Overall trends through 2025 indicate declining extremes, with no season exceeding +25 since 2020, as DRS now more purely rewards individual skill over strategic alignments.
RankPlayerYearTeamPositionDRS
1Andrelton Simmons2017LAASS+41
2Adam Everett2006HOUSS+24
3Yadier Molina2012STLC+19
4Juan Pierre2003CHCOF+20
5Steven Kwan2025CLELF+22
Note: Table focuses on verified modern era leaders; retroactive calculations for pre-2003 are not standardized and omitted due to lack of consistent sourcing.

Career Leaders

Defensive Runs Saved (DRS) career leaders highlight who demonstrated exceptional defensive consistency over extended periods, with the metric rewarding sustained performance adjusted for played at each position. Since DRS was first tracked in 2002 by Baseball Info Solutions, the all-time leader is Andrelton Simmons with +189 DRS over his career (2012–2023), followed by Mookie Betts at +143 and Nolan Arenado at +133 as of the end of the 2025 season. These figures underscore the value of elite fielding in up-the-middle positions, where DRS incorporates positional adjustments to account for varying defensive demands. Retroactive applications of DRS to pre-2002 eras have been attempted by groups like the Fielding Bible team, identifying historical greats such as Brooks Robinson and Ozzie Smith as elite, though exact totals vary by methodology and are not universally adopted.
PositionLeaderCareer DRS (Modern Era unless noted)
Shortstop+189 (2012–2023)
Outfield+143 (2011–2025)
Third Base+133 (2011–2025)
Shortstops dominate the all-time lists due to the position's high leverage on ground balls and double plays, while catchers benefit from framing evaluations, and outfielders show more variability from park effects and throwing demands. Many top career DRS accumulators are inducted into the Baseball Hall of Fame, illustrating how sustained defensive excellence contributes to overall legacy. The metric's adjustment for innings played favors players with long careers and high volume, such as those who logged over 15,000 innings, emphasizing endurance alongside skill. As of the end of the 2025 season, the active career leader is with +92 . Aging patterns in reveal typical peaks between ages 25 and 30, when athleticism supports peak range and reaction times, followed by gradual declines; however, advancements in training, nutrition, and recovery techniques have enabled modern players like Betts and Lindor to sustain positive contributions into their mid-30s, extending high-value defensive careers beyond historical norms.

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