Published: June 25, 2021
Updated: September 27, 2026 at 06:55PM
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 2026 Major League Baseball regular season concludes, data show distinct divergences in team performance. The Milwaukee Brewers established themselves as the premier club, amassing 102 wins and 59 losses (63.35 percent). This total represents a substantial lead over the Los Angeles Dodgers, who finished second with 99 victories. Milwaukee’s success may reflect strong run prevention, posting a median of 3 runs allowed per game across 161 contests. Their pitching staff, including Jacob Misiorowski (0.803 walks and hits per inning pitched, 6.1 Wins Above Replacement), contributed to this suppression. Furthermore, the Brewers recorded a maximum positive run differential of 22 in a single game, highlighting considerable offensive output alongside pitching efficiency.
Conversely, the Houston Astros present a unique statistical profile. Over 161 games, the Astros recorded 80 wins and 81 losses (49.69 percent). Despite a losing record, they secured the American League West division title, marking the first time a team won a division in a full season without a winning record. The Astros generated a median of 4 runs scored and 4 runs allowed per game. Their median run differential of -1 could indicate a tendency to lose close games while winning enough divisional matchups to advance. This anomaly may reflect a historically weak divisional grouping.
In the wild-card tier, the Philadelphia Phillies reached 87 wins and 74 losses (54.04 percent). The Phillies accumulated a median of 4 runs scored per game alongside a maximum positive run differential of 14 runs. Starter Cristopher Sánchez contributed 207 innings pitched and 8.0 Wins Above Replacement, an effort that media reports note secured the final National League wild-card berth. In the American League, the New York Yankees compiled 93 wins and 68 losses (57.76 percent). New York utilized top-tier starting pitching, primarily Cam Schlittler, who posted 193.2 innings pitched and 7.1 Wins Above Replacement.
While aggregates outline standings, individual performances provided substantial boosts. The Chicago Cubs finished with 88 wins and 72 losses, featuring center fielder Pete Crow-Armstrong. He accumulated 9.8 Wins Above Replacement, 45 home runs, 107 runs batted in, and 41 stolen bases across 625 at-bats. The Tampa Bay Rays reached 98 wins and 63 losses, featuring Junior Caminero, who generated 5.8 Wins Above Replacement, 42 home runs, and 101 runs batted in while playing 1397.2 fielding innings. These profiles suggest elite run-producers can help overcome lineup vulnerabilities.
Observers should note limitations when evaluating cumulative statistics. Run differentials do not perfectly correlate with short-series playoff success. The Astros could utilize their top-heavy roster, including Yordan Alvarez’s 1.036 on-base plus slugging percentage, to mask their negative run differential. Additionally, the data exclude players with fewer than 25 at-bats or 10 pitching appearances, obscuring late-season promotions. Defensive metrics like double plays also do not comprehensively measure actual run prevention value. Therefore, these numbers offer a factual baseline but only partial guidance for predicting October outcomes.
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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | WAR |
|---|---|---|---|
| 1 | Pete Crow-Armstrong* | CHC | 9.8 |
| 2 | Brice Turang* | MIL | 7.3 |
| 3 | Kevin McGonigle* | DET | 6.9 |
| 4 | Yordan Alvarez* | HOU | 6.8 |
| 5 | Bobby Witt Jr. | KCR | 6.7 |
| 6 | Gabriel Moreno | ARI | 6.3 |
| 7 | Otto Lopez | MIA | 6.0 |
| 8 | Andy Pages | LAD | 6.0 |
| 9 | Junior Caminero | TBR | 5.8 |
| 10 | Wilyer Abreu* | BOS | 5.7 |
| 11 | Ceddanne Rafaela | BOS | 5.7 |
| 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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | OPS |
|---|---|---|---|
| 1 | Josue De Paula* | LAD | 1.081 |
| 2 | Yordan Alvarez* | HOU | 1.036 |
| 3 | Jahmai Jones | BOS | 1.022 |
| 4 | Eduardo Valencia | DET | 1.007 |
| 5 | Pete Crow-Armstrong* | CHC | 0.941 |
| 6 | Michael Arroyo | SEA | 0.925 |
| 7 | Joshua Kuroda-Grauer | ATH | 0.922 |
| 8 | Juan Soto* | NYM | 0.919 |
| 9 | Randal Grichuk | CHW | 0.917 |
| 10 | Juan Brito# | CIN | 0.913 |
| 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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | RBI |
|---|---|---|---|
| 1 | Alec Burleson* | STL | 116 |
| 2 | Pete Alonso | BAL | 113 |
| 3 | Sal Stewart | CIN | 111 |
| 4 | Pete Crow-Armstrong* | CHC | 107 |
| 5 | Yordan Alvarez* | HOU | 105 |
| 6 | CJ Abrams* | WSN | 105 |
| 7 | Junior Caminero | TBR | 101 |
| 8 | Jordan Walker | STL | 101 |
| 9 | Brice Turang* | MIL | 99 |
| 10 | Rafael Devers* | SFG | 98 |
| 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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | HR |
|---|---|---|---|
| 1 | Pete Crow-Armstrong* | CHC | 45 |
| 2 | Kyle Schwarber* | PHI | 45 |
| 3 | Pete Alonso | BAL | 43 |
| 4 | Junior Caminero | TBR | 42 |
| 5 | Yordan Alvarez* | HOU | 42 |
| 6 | Matt Olson* | ATL | 41 |
| 7 | Ben Rice* | NYY | 41 |
| 8 | Hunter Goodman | COL | 41 |
| 9 | Rafael Devers* | SFG | 37 |
| 10 | Brandon Lowe* | PIT | 35 |
| 11 | Munetaka Murakami* | CHW | 35 |
| 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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | SB |
|---|---|---|---|
| 1 | Nasim Nuñez# | WSN | 49 |
| 2 | Chandler Simpson* | TBR | 46 |
| 3 | Bobby Witt Jr. | KCR | 45 |
| 4 | Pete Crow-Armstrong* | CHC | 41 |
| 5 | Jazz Chisholm Jr.* | NYY | 41 |
| 6 | Fernando Tatis Jr. | SDP | 38 |
| 7 | José Ramírez# | CLE | 37 |
| 8 | Otto Lopez | MIA | 34 |
| 9 | CJ Abrams* | WSN | 34 |
| 10 | José Caballero | NYY | 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
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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | BB |
|---|---|---|---|
| 1 | Yordan Alvarez* | HOU | 109 |
| 2 | Bryce Harper* | PHI | 107 |
| 3 | Mike Trout | LAA | 107 |
| 4 | Kyle Schwarber* | PHI | 104 |
| 5 | Miguel Vargas | CHW | 101 |
| 6 | James Wood* | WSN | 101 |
| 7 | Taylor Ward | 2TM | 99 |
| 8 | Kevin McGonigle* | DET | 95 |
| 9 | Geraldo Perdomo# | ARI | 95 |
| 10 | Jake Bauers* | MIL | 94 |
| 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 27, 2026 at 06:56 PM |
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| Rank | Player | Team | GIDP |
|---|---|---|---|
| 1 | Junior Caminero | TBR | 26 |
| 2 | Manny Machado | SDP | 22 |
| 3 | Freddie Freeman* | LAD | 22 |
| 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 | Bo Bichette | NYM | 19 |
| 10 | Bryce Harper* | PHI | 19 |
| 11 | Alec Bohm | PHI | 19 |
| 12 | Jose Altuve | HOU | 19 |
| 13 | Vaughn Grissom | LAA | 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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | WAR |
|---|---|---|---|
| 1 | Cristopher Sánchez* | PHI | 8.0 |
| 2 | Cam Schlittler | NYY | 7.1 |
| 3 | Jesús Luzardo* | PHI | 6.3 |
| 4 | Parker Messick* | CLE | 6.1 |
| 5 | Jacob Misiorowski | MIL | 6.1 |
| 6 | Yoshinobu Yamamoto | LAD | 5.8 |
| 7 | Dylan Cease | TOR | 5.7 |
| 8 | Chris Sale* | ATL | 5.6 |
| 9 | Zack Wheeler | PHI | 5.6 |
| 10 | Chase Burns | CIN | 4.8 |
| 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 27, 2026 at 06:56 PM |
|||
| Rank | Player | Team | ERA |
|---|---|---|---|
| 1 | Justin Martínez | ARI | 0.00 |
| 2 | Matt Brash | SEA | 0.54 |
| 3 | Anthony Gose* | KCR | 0.66 |
| 4 | Paul Sewald | TOR | 0.68 |
| 5 | Josh Hader* | HOU | 1.01 |
| 6 | Robert Suarez | ATL | 1.06 |
| 7 | Alimber Santa | HOU | 1.17 |
| 8 | Wyatt Olds | BOS | 1.20 |
| 9 | Louis Varland | TOR | 1.27 |
| 10 | Hagen Smith* | CHW | 1.29 |
| 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 27, 2026 at 06:56 PM |
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| Rank | Player | Team | WHIP |
|---|---|---|---|
| 1 | Paul Sewald | TOR | 0.675 |
| 2 | Miguel Ullola | HOU | 0.702 |
| 3 | Tyler Wells | TBR | 0.722 |
| 4 | Brandyn Garcia* | ARI | 0.735 |
| 5 | Nate Lavender* | NYM | 0.738 |
| 6 | Tyler Kinley | DET | 0.750 |
| 7 | Cam Booser* | TBR | 0.756 |
| 8 | Josh Hader* | HOU | 0.761 |
| 9 | Jacob Misiorowski | MIL | 0.803 |
| 10 | Jacob Latz* | TEX | 0.806 |
| 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 27, 2026 at 06:56 PM |
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| Rank | Player | Team | SO/BB |
|---|---|---|---|
| 1 | Bryse Wilson | MIL | 23.00 |
| 2 | Bryse Wilson | 3TM | 10.33 |
| 3 | A.J. Minter* | NYM | 10.00 |
| 4 | Will Dion* | CLE | 8.33 |
| 5 | Tarik Skubal* | DET | 8.29 |
| 6 | Jhoan Duran | PHI | 8.20 |
| 7 | Cam Booser* | TBR | 7.50 |
| 8 | Tarik Skubal* | 2TM | 6.89 |
| 9 | Garrett Whitlock | BOS | 6.56 |
| 10 | Nate Lavender* | NYM | 6.50 |
| 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 27, 2026 at 06:56 PM |
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| Rank | Player | Team | IP |
|---|---|---|---|
| 1 | Sandy Alcantara | MIA | 213.0 |
| 2 | Cristopher Sánchez* | PHI | 207.0 |
| 3 | Michael Wacha | KCR | 200.2 |
| 4 | Cam Schlittler | NYY | 193.2 |
| 5 | Eduardo Rodríguez* | ARI | 189.2 |
| 6 | Tanner Bibee | CLE | 188.0 |
| 7 | Reid Detmers* | LAA | 185.0 |
| 8 | Michael King | SDP | 185.0 |
| 9 | Yoshinobu Yamamoto | LAD | 185.0 |
| 10 | Gavin Williams | CLE | 184.1 |
| 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 27, 2026 at 06:56 PM |
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| Rank | Player | Team | G |
|---|---|---|---|
| 1 | Mason Fluharty* | TOR | 82 |
| 2 | Brent Headrick* | NYY | 81 |
| 3 | Brock Burke* | CIN | 77 |
| 4 | Adrián Morejón* | SDP | 76 |
| 5 | Aaron Ashby* | MIL | 75 |
| 6 | Braydon Fisher | TOR | 75 |
| 7 | Rico Garcia | BAL | 75 |
| 8 | Tyler Alexander* | TEX | 74 |
| 9 | Tyler Rogers | TOR | 74 |
| 10 | Hogan Harris* | ATH | 74 |
| 11 | Brennan Bernardino* | COL | 74 |
| 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 27, 2026 at 06:56 PM |
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| Rank | Player | Team | HBP |
|---|---|---|---|
| 1 | Anthony Kay* | CHW | 25 |
| 2 | Nick Lodolo* | CIN | 17 |
| 3 | Cade Cavalli | WSN | 16 |
| 4 | Sean Manaea* | NYM | 16 |
| 5 | Nolan McLean | NYM | 15 |
| 6 | Chris Sale* | ATL | 15 |
| 7 | Brady Singer | CIN | 15 |
| 8 | Spencer Arrighetti | 2TM | 15 |
| 9 | Framber Valdez* | DET | 14 |
| 10 | Spencer Arrighetti | HOU | 14 |
| 11 | Yohan Ramírez | PIT | 14 |
| 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
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.