Schenectady Mohawk Giants Opposing Batting Average Charts and Records
About Opposing Batting Average
Opposing batting average is the batting average of players against a pitcher or a team's pitchers. Opposing batting average is calculated by dividing the number of hits allowed by the number of at bats pitched. Generally, for Opposing Batting Average, lower is better. (Source)
Top Schenectady Mohawk Giants Players by Opposing Batting Average
Which Schenectady Mohawk Giants players rank highest in Opposing Batting Average? Below are the top ten by single season and by career totals with the team, requiring at least 50 innings pitched for a season record, or 100 innings pitched for a career record with the team.


Schenectady Mohawk Giants Opposing Batting Average Per Season
Schenectady Mohawk Giants's Opposing Batting Average for each season of their history, plotted alongside yearly averages for MLB, the Eastern Colored League (Independent), and the Eastern Colored League (Independent).

Schenectady Mohawk Giants Opposing Batting Average Season Distribution vs. MLB and Peers
Each box summarizes Opposing Batting Average across all seasons, comparing the Schenectady Mohawk Giants to MLB as a whole, the Eastern Colored League (Independent), and the Eastern Colored League (Independent). The box covers the middle 50% of seasons, the center line is the median, and the whiskers extend to the min and max values.

Schenectady Mohawk Giants Opposing Batting Average Year-Over-Year Change
A waterfall chart showing how the Schenectady Mohawk Giants's Opposing Batting Average shifted season over season. Each bar represents the change from the previous year, making it easy to spot peak and decline phases.

Schenectady Mohawk Giants Opposing Batting Average — Season-by-Season Breakdown
Every season of Schenectady Mohawk Giants's history with Opposing Batting Average alongside yearly averages for MLB, the Eastern Colored League (Independent), and the Eastern Colored League (Independent). Career totals include sum, average, minimum, maximum, and median.
