Published: June 25, 2021
Updated: September 25, 2026 at 01:00AM
Welcome
Welcome to my baseball season data analysis. This page offers interactive visualizations and detailed data tables that capture team and player performance throughout Major League Baseball (MLB) seasons. You can explore cumulative wins, run differentials, scoring trends, and advanced player statistics such as Wins Above Replacement, on-base plus slugging, and earned run average. The charts and tables highlight team momentum, offensive and defensive strengths, and individual contributions, providing a clear view of which teams and players are excelling over time.
All data are sourced from Baseball Reference and updated daily during the regular season, allowing you to track changes as the season unfolds. Whether you’re a fan, analyst, or fantasy baseball player, these visualizations offer an accessible, data-driven perspective on MLB performance. I hope you find these visualizations and data tables helpful in understanding the current MLB season. Thank you for visiting the page.
Executive Summary1
As the regular season nears its conclusion, the latest box scores highlight the end-of-season standings across Major League Baseball. The data show the Milwaukee Brewers leading the league with 99 wins and a 62.66% win percentage across 158 games. The Los Angeles Dodgers and Tampa Bay Rays follow closely, with 97 wins and 96 wins, respectively. Tampa Bay secured the American League East division crown, an achievement that news reports indicate reflects their success in a highly competitive division. Meanwhile, the Chicago White Sox have accumulated 81 wins and a 51.27% win rate, marking a substantial improvement from previous years. This rebound comes after consecutive 100-loss seasons, a turnaround that news reports indicate recently secured them an American League playoff berth.
The first notable statistical pattern involves the Milwaukee Brewers’ run metrics and pitching efficiency. The data show Milwaukee maintains a median of 4 runs scored and 3 runs allowed per game. They also reached a maximum of 22 runs scored in a single contest, generating a robust overall run differential. Their pitching staff may account for much of this success, anchored by starter Jacob Misiorowski. Misiorowski accumulated 6.1 Wins Above Replacement and a 0.803 Walks and Hits Per Inning Pitched metric over the season. This high level of pitching efficiency may reflect key developmental adjustments, which news reports suggest involve maximized velocity and refined command.
A second distinct pattern emerges in the performance of the Chicago Cubs, who currently hold 87 wins and a 55.06% win percentage. The data show the Cubs possess a median of 4 runs scored per game, but their maximum offensive output reached 23 runs. Their standard deviation for runs scored is 3.66, which ranks among the highest in the major leagues. This statistical profile indicates a high degree of game-to-game variance in their offensive production. Their runs allowed standard deviation of 3.45 similarly points to fluctuations in their pitching and defensive outcomes. Despite this volatility, the team secured a postseason spot, which news reports indicate marks their second consecutive playoff berth.
The Cubs’ overall team success correlates with exceptional individual durability from their core position players. Outfielder Pete Crow-Armstrong leads the league with 9.8 Wins Above Replacement, providing substantial value across 154 games played. The statistics show he has hit 45 home runs and recorded 39 stolen bases over 614 at-bats to date. He subsequently secured his 40th stolen base of the year, and news reports suggest he is now the seventh player in history to join the 40-home run, 40-stolen base club. Defensively, Chicago relies heavily on everyday contributors, with Crow-Armstrong logging 1,345 innings and Nico Hoerner logging 1,344 innings up the middle. Additionally, first baseman Michael Busch has played 156 games and participated in 108 double plays, further stabilizing their infield defense.
Across the league, starting pitching durability remains a critical component of team success. The Philadelphia Phillies highlight this trend, featuring Cristopher Sánchez, who has thrown 200 innings and generated 7.7 Wins Above Replacement. Similarly, Zack Wheeler has contributed 5.6 Wins Above Replacement for Philadelphia, helping the team reach 87 wins and a 55.06% win rate. In the American League, Tanner Bibee of the Cleveland Guardians and Logan Gilbert of the Seattle Mariners share the league lead with 182 innings pitched. The Guardians have leveraged their durable pitching staff to 82 wins, a performance that news reports suggest secured them a third straight playoff berth. These bulk innings from top-of-the-rotation starters often provide the necessary foundation for teams to navigate the rigorous regular season schedule effectively.
Cumulative Wins
This figure presents cumulative wins by MLB team during the current season. Each panel corresponds to a single team, with the x-axis representing the progression of the season by date and the y-axis showing the total number of wins accumulated to date. This display helps illustrate how quickly teams have been winning games relative to one another and provides a clear view of momentum, slumps, or sustained success over time. Because the plot updates automatically as new data become available, it reflects each team’s current position in the season at the time of the most recent refresh.
Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Head-to-Head Records
This figure presents a cross-tabulated heat map detailing the head-to-head performance of each MLB team during the current season. Each row corresponds to a specific team, while the columns represent their respective opponents. The intersecting cells contain text displaying the exact win-loss record for that specific matchup. Additionally, the background of each cell is colored according to the head-to-head differential using a diverging color scale, where positive values—indicating a favorable margin—and negative values—indicating an unfavorable margin—are visually distinguished. Teams whose rows feature a higher concentration of blues demonstrate broader dominance across the league. In contrast, rows saturated with reds highlight teams struggling against a variety of opponents. This visualization offers a comprehensive, at-a-glance snapshot of individual matchup advantages, intra-league parity, and overall team competitiveness to date.
Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Runs Scored vs. Runs Allowed
This figure plots runs scored against runs allowed for each MLB team during the current season. Each panel corresponds to a single team, with individual points representing games. Points above the diagonal dashed line indicate games in which the team scored more runs than it allowed (wins), while points below the line indicate losses. Points are colored according to game outcome to distinguish between wins and losses. Teams with a larger number of points above the line tend to outscore their opponents more consistently, reflecting stronger overall performance. The figure provides a visual summary of each team’s run-scoring and defensive patterns across all games to date.
Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Runs Differentials
Histograms
This figure shows histograms of game-level run differentials for each MLB team during the current season. Each bar represents the number of games with a given scoring margin, using a bin width of one run. Positive run differentials correspond to wins, while negative values correspond to losses. Bars are colored according to game outcome, distinguishing victories from defeats. Teams with histograms skewed to the right tend to win by larger margins or more frequently, indicating stronger overall performance. In contrast, teams with distributions centered near zero or skewed left tend to have closer or less favorable results. The figure offers a concise visual summary of how dominant — or narrowly competitive — each team’s games have been.
Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Trends
This figure presents game-by-game run differentials for each MLB team over the course of the current season. Each vertical bar represents a single game, with its height indicating the margin of victory or defeat — positive values for wins and negative values for losses. Bars are colored green for wins and red for losses. The plot provides a visual timeline of team performance, revealing patterns such as winning or losing streaks, consistency in run margins, and periods of volatility. Teams with consistently tall positive bars tend to dominate opponents, whereas those with frequent negative bars or alternating patterns suggest closer or less predictable outcomes. Displaying these bars sequentially highlights the rhythm of each team’s season.
Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Player Statistics
Batting
This table summarizes individual batting performance across Major League Baseball for all players with at least 25 at bats during the current season. It provides a comprehensive view of offensive production through both traditional and advanced metrics. Basic counting statistics such as games played (G), plate appearances (PA), hits (H), home runs (HR), and runs batted in (RBI) capture each player’s volume and contribution to team scoring. Rate-based measures—including batting average (BA), on-base percentage (OBP), slugging percentage (SLG), and on-base plus slugging (OPS)—reflect overall hitting efficiency and power.
Advanced indicators such as Wins Above Replacement (WAR), OPS+, and weighted on-base average (rOBA) contextualize performance relative to league and ballpark environments. Together, these metrics allow for comparisons across teams and player types, highlighting both consistent contributors and standout performers. The table serves as a detailed reference for evaluating individual offensive value throughout the season.
Note: Table displays rows only for players with at least 25 at bats.
Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
*: Left-Handed Batter
#: Switch Hitter
G – Games Played
PA – Plate Appearances
AB – At Bats
R – Runs Scored/Allowed
H – Hits/Hits Allowed
2B – Doubles Hit/Allowed
3B – Triples Hit/Allowed
HR – Home Runs Hit/Allowed
RBI – Runs Batted In
SB – Stolen Bases
CS – Caught Stealing
BB – Bases on Balls/Walks
SO – Strikeouts
BA – Hits/At Bats
OBP – (H + BB + HBP)/(At Bats + BB + HBP + SF)
SLG – Total Bases/At Bats
OPS – On-Base + Slugging Percentages
OPS+ – OPS+ Adjusted to the player’s ballpark(s)
GIDP – Double Plays Grounded Into
IBB – Intentional Bases on Balls
Distributions and Leaders in Selected Statistics
Wins Above Replacement
This interactive plot shows the distribution of Wins Above Replacement (WAR) for Major League Baseball batters during the current season. Each horizontal box represents the spread of WAR values among players on a given team, with individual points marking each qualifying batter. Hovering over a point reveals the player’s name, team, and WAR value. The plot excludes players who have not reached the minimum number of at-bats required for inclusion, providing a clearer view of team-level performance among regular contributors.
By displaying both central tendencies and outliers, the visualization highlights how WAR varies across teams—some showing tightly clustered distributions indicative of balanced rosters, while others have one or two high-impact players driving overall team value. These differences help illustrate where player contributions are concentrated and which teams benefit most from top-tier offensive performance.
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
This figure shows the distribution of Wins Above Replacement (WAR) among all qualified batters for the current season. Each bar represents the number of players within a given WAR range. The accompanying table lists the ten players with the highest WAR values, providing a reference for those whose overall contributions most exceed that of a replacement-level player. Together, the figure and table help illustrate the spread of player value across the league based on combined offensive, defensive, and baserunning performance.
| League-wide Leaders: Wins Above Replacement | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | WAR |
|---|---|---|---|
| 1 | Pete Crow-Armstrong* | CHC | 9.8 |
| 2 | Brice Turang* | MIL | 7.2 |
| 3 | Kevin McGonigle* | DET | 6.9 |
| 4 | Yordan Alvarez* | HOU | 6.6 |
| 5 | Bobby Witt Jr. | KCR | 6.5 |
| 6 | Gabriel Moreno | ARI | 6.1 |
| 7 | Wilyer Abreu* | BOS | 5.9 |
| 8 | Otto Lopez | MIA | 5.8 |
| 9 | Andy Pages | LAD | 5.8 |
| 10 | Junior Caminero | TBR | 5.6 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
On-Base Plus Slugging Percentage
This figure shows the distribution of On-Base Plus Slugging Percentage (OPS) across all qualified batters. Each bar represents the number of players whose OPS falls within a particular range. The accompanying table identifies the ten players with the highest OPS values, offering a snapshot of the league’s strongest overall offensive performers. Together, these outputs demonstrate how effectively players combine on-base ability and power hitting.
| League-wide Leaders: On-Base Plus Slugging Percentage | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | OPS |
|---|---|---|---|
| 1 | Josue De Paula* | LAD | 1.081 |
| 2 | Jahmai Jones | BOS | 1.062 |
| 3 | Yordan Alvarez* | HOU | 1.035 |
| 4 | Joshua Kuroda-Grauer | ATH | 0.971 |
| 5 | Eduardo Valencia | DET | 0.968 |
| 6 | Juan Brito# | CIN | 0.953 |
| 7 | Pete Crow-Armstrong* | CHC | 0.949 |
| 8 | Randal Grichuk | CHW | 0.933 |
| 9 | Yohandy Morales | WSN | 0.930 |
| 10 | Juan Soto* | NYM | 0.920 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Runs Batted In
This figure shows the distribution of Runs Batted In (RBI) across all qualified batters. Each bar corresponds to the number of players whose RBI totals fall within a specified range. The accompanying table highlights the ten players with the highest RBI counts, illustrating the league’s top run producers. This output provides a league-wide view of offensive productivity in terms of driving in runs.
| League-wide Leaders: Runs Batted In | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | RBI |
|---|---|---|---|
| 1 | Alec Burleson* | STL | 112 |
| 2 | Pete Alonso | BAL | 110 |
| 3 | Sal Stewart | CIN | 110 |
| 4 | Pete Crow-Armstrong* | CHC | 107 |
| 5 | CJ Abrams* | WSN | 103 |
| 6 | Yordan Alvarez* | HOU | 102 |
| 7 | Jordan Walker | STL | 100 |
| 8 | Rafael Devers* | SFG | 98 |
| 9 | Junior Caminero | TBR | 97 |
| 10 | Ben Rice* | NYY | 97 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Home Runs
This figure presents the distribution of Home Run totals among all qualified batters. Each bar indicates the number of players whose Home Run counts fall within a given range. The accompanying table lists the ten players with the most Home Runs, highlighting leading power hitters. Together, the outputs display how frequently players hit for power across the league.
| League-wide Leaders: Home Runs | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | HR |
|---|---|---|---|
| 1 | Pete Crow-Armstrong* | CHC | 45 |
| 2 | Kyle Schwarber* | PHI | 45 |
| 3 | Pete Alonso | BAL | 41 |
| 4 | Junior Caminero | TBR | 41 |
| 5 | Matt Olson* | ATL | 41 |
| 6 | Yordan Alvarez* | HOU | 41 |
| 7 | Ben Rice* | NYY | 41 |
| 8 | Hunter Goodman | COL | 39 |
| 9 | Rafael Devers* | SFG | 37 |
| 10 | Brandon Lowe* | PIT | 34 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Stolen Bases
This figure shows the distribution of Stolen Bases across all qualified batters. Each bar represents the number of players with stolen base totals in a particular range. The accompanying table identifies the ten players with the most Stolen Bases, illustrating the league’s most aggressive or successful baserunners. These outputs together highlight differences in base-stealing frequency and effectiveness among players.
| League-wide Leaders: Stolen Bases | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | SB |
|---|---|---|---|
| 1 | Nasim Nuñez# | WSN | 49 |
| 2 | Chandler Simpson* | TBR | 46 |
| 3 | Bobby Witt Jr. | KCR | 43 |
| 4 | Jazz Chisholm Jr.* | NYY | 41 |
| 5 | Pete Crow-Armstrong* | CHC | 39 |
| 6 | Fernando Tatis Jr. | SDP | 36 |
| 7 | José Ramírez# | CLE | 36 |
| 8 | Otto Lopez | MIA | 34 |
| 9 | José Caballero | NYY | 34 |
| 10 | CJ Abrams* | WSN | 33 |
| 11 | Esteury Ruiz | MIA | 33 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Bases on Balls/Walks
This figure displays the distribution of Bases on Balls (Walks) among all qualified batters. Each bar represents the number of players whose walk totals fall within a given range. The accompanying table lists the ten players with the highest walk counts, identifying those with the greatest plate discipline and strike zone awareness. These outputs together illustrate variation in on-base skill and patience at the plate across the league.
| League-wide Leaders: Bases on Balls/Walks | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | BB |
|---|---|---|---|
| 1 | Yordan Alvarez* | HOU | 107 |
| 2 | Bryce Harper* | PHI | 106 |
| 3 | Mike Trout | LAA | 103 |
| 4 | Kyle Schwarber* | PHI | 102 |
| 5 | James Wood* | WSN | 99 |
| 6 | Taylor Ward | 2TM | 99 |
| 7 | Miguel Vargas | CHW | 97 |
| 8 | Kevin McGonigle* | DET | 94 |
| 9 | Jake Bauers* | MIL | 93 |
| 10 | Michael Busch* | CHC | 91 |
| 11 | Munetaka Murakami* | CHW | 91 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Double Plays Grounded Into
This figure shows the distribution of Double Plays Grounded Into among all qualified batters. Each bar represents the number of players whose GIDP totals fall within a specific range. The accompanying table lists the ten players who have grounded into the most double plays, providing insight into tendencies related to contact type and situational hitting. These outputs together help illustrate how frequently players contribute to defensive double plays when batting with runners on base.
| League-wide Leaders: Double Plays Grounded Into | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | GIDP |
|---|---|---|---|
| 1 | Junior Caminero | TBR | 26 |
| 2 | Freddie Freeman* | LAD | 22 |
| 3 | Manny Machado | SDP | 21 |
| 4 | Josh Bell# | MIN | 20 |
| 5 | Salvador Perez | KCR | 20 |
| 6 | Vladimir Guerrero Jr. | TOR | 20 |
| 7 | Iván Herrera | STL | 19 |
| 8 | Alex Bregman | CHC | 19 |
| 9 | Bryce Harper* | PHI | 19 |
| 10 | Alec Bohm | PHI | 19 |
| 11 | Jose Altuve | HOU | 19 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude players with fewer than 25 at bats. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Pitching
This table presents pitching performance across Major League Baseball for all pitchers who have appeared in at least 10 games during the current season. It includes both traditional and advanced measures of pitching effectiveness and workload. Core statistics such as wins (W), losses (L), earned run average (ERA), games started (GS), and innings pitched (IP) summarize each pitcher’s role and overall contribution. Additional categories—such as complete games (CG), shutouts (SHO), and saves (SV)—highlight specific game outcomes and pitching durability.
Rate-based indicators including WHIP (walks plus hits per inning pitched), strikeouts per nine innings (SO9), and walks per nine innings (BB9) quantify efficiency and control, while advanced metrics such as Wins Above Replacement (WAR), ERA+, and fielding independent pitching (FIP) adjust for ballpark and defensive effects. Together, these data provide a nuanced view of pitcher performance, distinguishing consistent starters, high-leverage relievers, and emerging contributors across teams and leagues.
Note: Table displays rows only for players that played in at least 10 games.
Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
•: Left-Handed Pitcher
W – Wins
L – Losses
W-L% – Win-Loss Percentage
ERA – 9 * ER / IP
G – Games Played or Pitched
GS – Games Started
GF – Games Finished
CG – Complete Game
SHO – Shutouts
SV – Saves
IP – Innings Pitched
H – Hits/Hits Allowed
R – Runs Scored/Allowed
ER – Earned Runs Allowed
HR – Home Runs Hit/Allowed
BB – Bases on Balls/Walks
IBB – Intentional Bases on Balls
SO – Strikeouts
HBP – Times Hit by a Pitch
BK – Balks
WP – Wild Pitches
BF – Batters Faced
ERA+ – ERA+ Adjusted to the player’s ballpark(s)
WHIP – (BB + H)/IP
H9 – 9 x H / IP
HR9 – 9 x HR / IP
BB9 – 9 x BB / IP
SO9 – 9 x SO / IP
SO/W – SO/W or SO/BB
Distributions and Leaders in Selected Statistics
Wins Above Replacement
This interactive visualization displays the distribution of Wins Above Replacement (WAR) for Major League Baseball pitchers during the current season. Each horizontal boxplot represents the spread of WAR values among pitchers on a given team, while individual points correspond to qualifying players who have appeared in the minimum number of games required for inclusion. Hovering over a point reveals the pitcher’s name, team, and WAR value.
The plot allows comparisons of pitching depth and performance across teams. Teams with higher median WAR values or a few standout outliers may rely heavily on elite pitching contributions, whereas more evenly distributed clusters suggest balanced rotations or bullpens. By examining the variation in WAR among teams, the figure highlights both dominant aces and the broader distribution of value among supporting pitchers.
Graph Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
This figure displays the distribution of Wins Above Replacement (WAR) among all qualified pitchers for the current season. Each bar represents the number of pitchers whose WAR values fall within a particular range. The accompanying table lists the ten pitchers with the highest WAR, identifying those whose overall contributions most exceed those of replacement-level players. Together, these outputs provide a structural overview of how pitcher value is distributed across the league.
| League-wide Leaders: Wins Above Replacement | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | WAR |
|---|---|---|---|
| 1 | Cristopher Sánchez* | PHI | 7.7 |
| 2 | Cam Schlittler | NYY | 7.0 |
| 3 | Jesús Luzardo* | PHI | 6.3 |
| 4 | Parker Messick* | CLE | 6.2 |
| 5 | Jacob Misiorowski | MIL | 6.1 |
| 6 | Yoshinobu Yamamoto | LAD | 5.7 |
| 7 | Dylan Cease | TOR | 5.7 |
| 8 | Chris Sale* | ATL | 5.6 |
| 9 | Zack Wheeler | PHI | 5.6 |
| 10 | Chase Burns | CIN | 4.9 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Earned Run Average
This figure illustrates the distribution of Earned Run Average (ERA) among all qualified pitchers. Each bar represents the number of pitchers whose ERA falls within a given range. The accompanying table lists the ten pitchers with the lowest ERA, highlighting those who have allowed the fewest earned runs per nine innings pitched. Together, these outputs show how pitching effectiveness is distributed across the league in terms of run prevention.
| League-wide Leaders: Earned Run Average | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
|||
| Rank | Player | Team | ERA |
|---|---|---|---|
| 1 | Justin Martínez | ARI | 0.00 |
| 2 | Anthony Gose* | KCR | 0.00 |
| 3 | Matt Brash | SEA | 0.54 |
| 4 | Paul Sewald | TOR | 0.68 |
| 5 | Dennis Santana | ARI | 0.75 |
| 6 | Robert Suarez | ATL | 0.82 |
| 7 | Josh Hader* | HOU | 1.01 |
| 8 | Alec Gamboa* | BOS | 1.16 |
| 9 | Alimber Santa | HOU | 1.17 |
| 10 | Mason Miller | SDP | 1.19 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
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| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
(Walks + Hits) per Innings Pitched
This figure shows the distribution of (Walks + Hits) per Innings Pitched (WHIP) among all qualified pitchers. Each bar represents the number of pitchers whose WHIP falls within a certain range. The accompanying table identifies the ten pitchers with the lowest WHIP, reflecting the most efficient at limiting baserunners. Together, these outputs demonstrate variation in pitcher control and contact management across the league.
| League-wide Leaders: Walks Plus Hits per Innings Pitched | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
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| Rank | Player | Team | WHIP |
|---|---|---|---|
| 1 | Paul Sewald | TOR | 0.675 |
| 2 | Tyler Kinley | DET | 0.714 |
| 3 | Tyler Wells | TBR | 0.722 |
| 4 | Brandyn Garcia* | ARI | 0.735 |
| 5 | Dennis Santana | ARI | 0.750 |
| 6 | Josh Hader* | HOU | 0.761 |
| 7 | Cam Booser* | TBR | 0.763 |
| 8 | Jacob Misiorowski | MIL | 0.803 |
| 9 | Daniel Duarte | NYM | 0.809 |
| 10 | Nate Lavender* | NYM | 0.814 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
|||
| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Strike Outs to Walks Ratio
This figure presents the distribution of Strikeouts-to-Walks Ratio (SO/BB) among all qualified pitchers. Each bar corresponds to the number of pitchers whose SO/BB ratio falls within a given range. The accompanying table lists the ten pitchers with the highest ratios, indicating the best combination of strikeout ability and control. Together, these outputs illustrate the range of pitching command and dominance across the league.
| League-wide Leaders: Strike Outs to Walks Ratio | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
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| Rank | Player | Team | SO/BB |
|---|---|---|---|
| 1 | Bryse Wilson | MIL | 22.00 |
| 2 | A.J. Minter* | NYM | 10.00 |
| 3 | Bryse Wilson | 3TM | 10.00 |
| 4 | Will Dion* | CLE | 8.33 |
| 5 | Tarik Skubal* | DET | 8.29 |
| 6 | Jhoan Duran | PHI | 8.10 |
| 7 | Blake Weiman* | LAA | 7.50 |
| 8 | Cam Booser* | TBR | 7.17 |
| 9 | Garrett Whitlock | BOS | 6.56 |
| 10 | Tarik Skubal* | 2TM | 6.52 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
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| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Innings Pitched
This figure shows the distribution of Innings Pitched among all qualified pitchers. Each bar represents the number of pitchers who have thrown within a specific range of innings. The accompanying table highlights the ten pitchers with the highest innings totals, reflecting those most relied upon for workload and durability. Together, these outputs illustrate the distribution of pitching volume across the league.
| League-wide Leaders: Innings Pitched | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
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| Rank | Player | Team | IP |
|---|---|---|---|
| 1 | Sandy Alcantara | MIA | 213.0 |
| 2 | Cristopher Sánchez* | PHI | 200.0 |
| 3 | Michael Wacha | KCR | 194.1 |
| 4 | Cam Schlittler | NYY | 190.2 |
| 5 | Michael King | SDP | 185.0 |
| 6 | Yoshinobu Yamamoto | LAD | 185.0 |
| 7 | Eduardo Rodríguez* | ARI | 183.2 |
| 8 | Parker Messick* | CLE | 183.1 |
| 9 | Tanner Bibee | CLE | 182.0 |
| 10 | Logan Gilbert | SEA | 182.0 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
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| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Games Pitched
This figure displays the distribution of Games Pitched among all qualified pitchers. Each bar represents the number of pitchers who have appeared in a certain range of games. The accompanying table identifies the ten pitchers with the most appearances, often reflecting bullpen specialists or high-usage relievers. Together, these outputs illustrate variation in how frequently pitchers take the mound throughout the season.
| League-wide Leaders: Games Pitched | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
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| Rank | Player | Team | G |
|---|---|---|---|
| 1 | Mason Fluharty* | TOR | 81 |
| 2 | Brent Headrick* | NYY | 80 |
| 3 | Brock Burke* | CIN | 76 |
| 4 | Rico Garcia | BAL | 75 |
| 5 | Adrián Morejón* | SDP | 74 |
| 6 | Braydon Fisher | TOR | 74 |
| 7 | Aaron Ashby* | MIL | 73 |
| 8 | Tyler Rogers | TOR | 73 |
| 9 | Hogan Harris* | ATH | 73 |
| 10 | Tyler Alexander* | TEX | 72 |
| 11 | Jose A. Ferrer* | SEA | 72 |
| 12 | Brennan Bernardino* | COL | 72 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
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| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Times Hit by Pitch
This figure presents the distribution of Times Hit by Pitch among all qualified pitchers, reflecting how often each has struck opposing batters with a pitch. Each bar represents the number of pitchers with hit-by-pitch totals within a specific range. The accompanying table lists the ten pitchers with the highest HBP counts, indicating those whose pitching style, control, or aggressiveness results in more hit batters. These outputs together illustrate league-wide variation in hit-by-pitch frequency.
| League-wide Leaders: Times Hit by Pitch | |||
| 2026 Season Data as of September 25, 2026 at 01:01 AM |
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| Rank | Player | Team | HBP |
|---|---|---|---|
| 1 | Anthony Kay* | CHW | 25 |
| 2 | Cade Cavalli | WSN | 16 |
| 3 | Sean Manaea* | NYM | 16 |
| 4 | Nolan McLean | NYM | 15 |
| 5 | Chris Sale* | ATL | 15 |
| 6 | Brady Singer | CIN | 15 |
| 7 | Spencer Arrighetti | 2TM | 15 |
| 8 | Nick Lodolo* | CIN | 15 |
| 9 | Framber Valdez* | DET | 14 |
| 10 | Spencer Arrighetti | HOU | 14 |
| Table Prepared by: Isaac H. Michaels, DrPH Data Source: www.baseball-reference.com |
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| Note: Data exclude pitchers with fewer than 10 game appearances. | |||
Graph and Table Prepared By: Isaac H. Michaels, DrPH
Data Source: www.baseball-reference.com
Fielding
This table presents fielding statistics for Major League Baseball players who have appeared in at least 10 games during the current season. The data summarize individual defensive performance across positions and teams, emphasizing both opportunity and execution in the field. Traditional indicators such as games played (G), innings in the field (Inn), putouts (PO), assists (A), and errors (E) describe the frequency and outcomes of defensive chances (Ch). Fielding percentage (Fld%) offers a basic efficiency measure, while double plays (DP) illustrate situational impact.
More advanced measures—including total runs above average (Rtot), defensive runs saved (Rdrs), and range factors (RF/9 and RF/G)—capture defensive range, positioning, and overall run prevention value. Comparative metrics such as league-average range factors (lgRF9 and lgRFG) provide contextual benchmarks for evaluating fielding performance relative to peers. Together, these data give a comprehensive view of how fielders contribute to team defense, from routine plays to high-impact run-saving efforts.