Baseball Season Tracking Analysis

September 27, 2026
Baseball Sports Data Visualization


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.

Cumulative line graphs showing the number of wins over time for each Major League Baseball team during the current season. Each panel represents one team, with lines rising as teams win games. The graph provides a comparative view of how fast different teams have accumulated wins as of the latest update.

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.

Heatmap showing the current head-to-head win-loss records and differentials for each MLB team. The vertical axis lists each team and the horizontal axis lists their opponents. Each cell contains text indicating the team's record against that opponent, with the cell's background colored on a diverging scale—blue for a positive differential and red for a negative differential—illustrating the degree of head-to-head dominance.

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.

Scatterplots showing runs scored versus runs allowed for each Major League Baseball team in the current season. Each point represents a single game. Points above the dashed diagonal line indicate wins; points below indicate losses. Teams with more points above the line generally have stronger offensive and defensive performance. Each team is displayed in its own panel for comparison.

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.

Histograms showing the distribution of game-level run differentials for each Major League Baseball team in the current season. Bars to the right of zero represent wins, and those to the left represent losses. Bars are colored by game outcome. Teams with histograms skewed right tend to win by larger margins; teams with more bars near or below zero have narrower or less favorable results.

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.