JT Brubaker 2019 MLB Splits
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RP
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MLB
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6,208 views
Should you bet JT's strikeout props?
K%, xFIP, and hard-hit rate vs LHB and RHB — the splits that decide over/under Ks.
Upgrade to FTA+Splits by Batter Handedness Detailed pitching stat breakdown for JT Brubaker by the handedness of batters faced, including K%, BB%, wOBA, and xFIP.
K%, BB%, wOBA, xFIP, and more vs LHB / vs RHB / Overall
Rolling Splits JT Brubaker's performance across L7, L14, L30, and full-season windows to track hot and cold streaks.
wOBA, ISO, K%, Hard Hit% across L7, L14, L30, and Season
JT Brubaker Splits Breakdown
Splits data reveals how JT Brubaker performs across different time windows and matchup situations. FTA+ tracks rolling performance over the last 7, 14, and 30 days alongside full-season numbers so you can identify hot streaks, cold spells, and platoon advantages before they're priced into DFS salaries.
Pitcher Handedness Splits
See how JT performs against left-handed vs right-handed batters. Strikeout rate, walk rate, wOBA allowed, and xFIP splits help identify platoon advantages that create value in DFS and prop markets.
Pitch Mix & Approach
Different pitch mixes against lefties and righties can dramatically change a pitcher's effectiveness. Understanding these tendencies helps predict strikeout upside and blowup risk in specific matchups.
Rolling Windows (L7, L14, L30)
Track wOBA, ISO, hard hit rate, and barrel rate across different time periods. A player trending up in L7 and L14 but below their season line may be breaking out — or a hot streak may be cooling off.
Park Factors & Context
MLB performance is heavily influenced by ballpark dimensions, altitude, and weather. Splits data paired with park factor context helps you evaluate whether JT's recent numbers are environment-driven or skill-driven.
JT Brubaker Splits 2019
View JT Brubaker's pitching splits including performance vs left-handed batters (LHB) and right-handed batters (RHB), with K%, BB%, wOBA allowed, xFIP, hard hit rate, and ground ball rate breakdowns. Rolling splits across the last 7, 14, and 30 days compared to full-season totals help identify whether JT's recent form is trending up or down. Splits data is essential for evaluating matchup-dependent value in DFS and identifying platoon advantages in player props.