The Z Files: Streaming Pitchers for Fun and Profit

The Z Files: Streaming Pitchers for Fun and Profit

This article is part of our The Z Files series.

One of the most important tasks a fantasy GM faces over the next three-plus weeks will be identifying favorable matchups in which to stream pitchers. Quality of opposing lineup, in terms of both production and strikeout potential, is paramount to the evaluation.

Here's the problem. There isn't a reliable sample size to use as a basis. How long should we be looking back to get the truest read on the current level of expected performance? A week? Month? Season to date?

Sorry, but I don't have the answer, at least not yet. To be honest, I'm not sure there is an answer, though there likely is, with the caveat outliers are likely. What I do have is a bunch of data, looking back at the entire season, since the All-Star break, the last 30 days and the last week.

Even though it's flawed, weighted on base average (wOBA) will be used to gauge strength of opposing lineup as well as strikeout percentage (K%). Each metric will be parsed by team versus right-handed and left-handed pitching.

Let's begin with numbers versus right-handers:

Team season wOBA 2H wOBA 30 day wOBA 7 day wOBA season K% 2H K% 30 day K% 7 day K%
Average0.3230.3280.3250.32622.1%21.9%22.0%22.6%
Arizona Diamondbacks0.3090.3300.3070.26223.8%22.4%23.1%24.5%
Atlanta Braves0.3200.3270.3140.30920.5%20.2%20.3%23.7%
Baltimore Orioles0.3140.3500.3320.31323.7%22.2%22.3%20.2%
Boston Red Sox0.3540.3450.3490.34418.8%19.4%
One of the most important tasks a fantasy GM faces over the next three-plus weeks will be identifying favorable matchups in which to stream pitchers. Quality of opposing lineup, in terms of both production and strikeout potential, is paramount to the evaluation.

Here's the problem. There isn't a reliable sample size to use as a basis. How long should we be looking back to get the truest read on the current level of expected performance? A week? Month? Season to date?

Sorry, but I don't have the answer, at least not yet. To be honest, I'm not sure there is an answer, though there likely is, with the caveat outliers are likely. What I do have is a bunch of data, looking back at the entire season, since the All-Star break, the last 30 days and the last week.

Even though it's flawed, weighted on base average (wOBA) will be used to gauge strength of opposing lineup as well as strikeout percentage (K%). Each metric will be parsed by team versus right-handed and left-handed pitching.

Let's begin with numbers versus right-handers:

Team season wOBA 2H wOBA 30 day wOBA 7 day wOBA season K% 2H K% 30 day K% 7 day K%
Average0.3230.3280.3250.32622.1%21.9%22.0%22.6%
Arizona Diamondbacks0.3090.3300.3070.26223.8%22.4%23.1%24.5%
Atlanta Braves0.3200.3270.3140.30920.5%20.2%20.3%23.7%
Baltimore Orioles0.3140.3500.3320.31323.7%22.2%22.3%20.2%
Boston Red Sox0.3540.3450.3490.34418.8%19.4%19.6%19.3%
Chicago Cubs0.3350.3220.3170.31621.3%21.9%24.2%28.8%
Cincinnati Reds0.3230.3100.3100.36721.5%22.9%22.5%21.3%
Cleveland Indians0.3390.3460.3440.31519.0%14.9%16.3%19.9%
Colorado Rockies0.3180.3070.3100.27723.4%24.0%22.6%19.4%
Chicago White Sox0.3170.3260.3140.32125.5%25.7%26.4%26.8%
Detroit Tigers0.2970.3010.3180.34122.6%23.4%23.3%31.8%
Houston Astros0.3250.2990.3020.30019.8%20.0%20.4%16.3%
Kansas City Royals0.3140.3540.3670.41820.5%21.8%22.4%21.8%
Los Angeles Angels0.3320.3390.3010.23521.1%23.9%24.6%32.5%
Los Angeles Dodgers0.3440.3530.3400.36222.4%24.2%23.7%19.8%
Miami Marlins0.3000.2810.2860.34722.4%22.2%20.0%19.2%
Milwaukee Brewers0.3300.3440.3530.40824.7%23.2%23.2%19.4%
Minnesota Twins0.3230.3270.3270.32621.8%23.2%23.7%25.5%
New York Mets0.3180.3320.3430.34421.6%21.7%21.2%17.6%
New York Yankees0.3400.3380.3500.33122.6%20.5%21.1%23.8%
Oakland Athletics0.3360.3430.3400.34221.8%21.1%22.2%25.6%
Philadelphia Phillies0.3200.3230.3180.33225.0%23.4%21.2%21.7%
Pittsburgh Pirates0.3170.3160.2790.25819.7%20.2%21.2%19.1%
San Diego Padres0.2930.2960.3060.28325.8%25.7%26.3%25.4%
Seattle Mariners0.3220.3200.3290.30020.0%19.2%19.3%15.1%
San Francisco Giants0.3020.2670.2600.25824.1%25.5%25.5%28.8%
St. Louis Cardinals0.3210.3260.3380.32722.2%21.7%22.7%26.7%
Tampa Bay Rays0.3240.3320.3450.38222.2%21.3%21.5%21.9%
Texas Rangers0.3300.3680.3650.38724.6%22.8%20.0%21.7%
Toronto Blue Jays0.3320.3450.3410.31822.5%20.7%21.1%18.3%
Washington Nationals0.3310.3520.3460.33520.1%18.5%18.4%22.7%

I'm planning a more comprehensive study in the offseason, so for now I'll just make some observations. I'm pleasantly surprised how many teams are consistent with respect to year-to-date versus more recent samples. That said, there's some notable exceptions.

The Orioles have been more productive over the second half, but if you made that adjustment the past week, you'd be disappointed since they haven't hit as well lately.

The Tigers are below average for the season, though they've improved the last month. Even so, they were still below average until the past week.

The Astros are an average offense for the year, but haven't been especially daunting over the second half, even as they've gotten some of their best hitters back from injury the last few weeks.

The Royals are below average for the season but have been crushing righties lately, especially the last week.

The Mets are overall below average but have been productive since the break.

The Pirates have been below average with a righty on the hill all season, but lately they've been among the worst clubs in the game.

The Giants are like the Bucs, but even more extreme.

The Rays are an average lineup in total but have been hitting righties much better as the season progresses.

Now let's check out the data versus southpaws:

Team season wOBA 2H wOBA 30 day wOBA 7 day wOBA season K% 2H K% 30 day K% 7 day K%
Average0.3190.3160.3140.29822.2%21.9%22.3%23.1%
Arizona Diamondbacks0.3280.3190.3250.25622.9%21.9%22.8%20.8%
Atlanta Braves0.3460.3320.3590.32719.7%19.1%17.7%17.1%
Baltimore Orioles0.2930.2890.2600.38721.8%23.7%24.7%14.1%
Boston Red Sox0.3250.3200.3240.36222.6%21.0%19.6%14.6%
Chicago Cubs0.3290.3240.3150.22522.2%23.2%24.5%26.5%
Cincinnati Reds0.3400.3420.3570.31720.5%20.0%19.3%14.1%
Cleveland Indians0.3290.3080.2650.26919.1%19.5%21.9%22.4%
Colorado Rockies0.3490.3540.3400.31721.5%20.2%21.8%22.9%
Chicago White Sox0.3140.3240.3500.33827.0%29.5%30.4%31.9%
Detroit Tigers0.3190.2830.2950.33320.5%21.4%21.5%20.5%
Houston Astros0.3570.3720.4110.25219.6%17.8%17.3%27.3%
Kansas City Royals0.2920.2780.2540.35123.6%24.7%23.6%18.2%
Los Angeles Angels0.2940.2830.3020.26721.1%22.4%20.3%25.8%
Los Angeles Dodgers0.3130.3100.3360.29222.8%24.2%24.0%34.2%
Miami Marlins0.2960.3070.3220.34321.8%21.6%26.9%19.6%
Milwaukee Brewers0.3210.3460.3720.29020.4%19.7%18.1%19.8%
Minnesota Twins0.3020.2850.3080.27823.2%21.9%20.5%21.1%
New York Mets0.2900.3040.3120.28024.8%22.1%21.4%25.0%
New York Yankees0.3480.3090.2840.30723.0%22.1%21.7%27.3%
Oakland Athletics0.3300.3660.3500.28822.5%20.1%21.3%23.6%
Philadelphia Phillies0.3020.2980.2820.23123.5%24.4%26.8%29.3%
Pittsburgh Pirates0.3210.3160.3240.30821.7%22.5%20.6%18.8%
San Diego Padres0.3100.3160.3290.32024.3%23.7%23.6%20.0%
Seattle Mariners0.3120.2790.2780.30120.2%17.7%19.8%21.9%
San Francisco Giants0.3010.2870.2640.27422.2%24.4%28.2%35.9%
St. Louis Cardinals0.3360.3820.3520.30821.3%16.7%18.2%32.1%
Tampa Bay Rays0.3230.3170.2890.28923.5%22.3%23.4%27.1%
Texas Rangers0.3220.3120.2840.29422.9%21.9%22.3%19.2%
Toronto Blue Jays0.3110.3070.2930.27521.7%22.1%21.7%18.5%
Washington Nationals0.3180.3150.2930.40423.1%24.6%25.5%17.4%

The Diamondbacks have been average all season but if you didn't use your lefty against them the past week, you're not happy.

The Orioles have been terrible facing lefties for the season, except the last seven days where they've crushed it.

The Cubs are the opposite of the Orioles, as they've been terrible versus southpaws lately.

The Indians have been a little above average most of the season but have struggled versus lefties for the past month, so there's a good chance many have missed chances to stream southpaws versus the Tribe.

The Astros have crushed lefties all season, save for the past week.

The Royals are the antithesis of the Astros, sluggish all season against LHP before slugging against them the past week.

The Marlins are below average for the season but have really picked up the pace when a lefty toes the rubber over the second half.

The Brewers have raked versus lefties, but not the last week.

The Phillies have been below average most of the season but have gotten progressively worse.

The Nationals had been trending downward before exploding the past week.

GENERAL OBSERVATIONS

The above is not meant to be comprehensive or even that analytical. It's mainly designed to show even when the range is fine-tuned, there will be exceptions, frustrating those of us streaming starters for perceived favorable matchups, or perhaps avoiding seemingly tough ones.

The smaller the sample, the more the specific hurlers come into play. If a team draws the Dodgers and Clayton Kershaw, Alex Wood and Rich Hill, their recent performance against lefties is likely to be subpar. On the other hand, if a club squares off with a weak staff, maybe the Rangers or Orioles in their hitter-friendly venues, their production against right-handers is apt to be embellished.

The final point I'd like to address is variance. I am literally shocked that the variance between lefty and righty splits isn't more exaggerated. I expected the lefty numbers to be all over the place, but via some standard deviation analysis, left-handed data is just a little more variant. This bodes well for the eventual study, providing some encouragement to carry it through. That said, as demonstrated, there will always be short-sample outliers.

To anticipate the question, for my own teams I use numbers from the past month to ballpark the quality of opposition, taking into consideration quality of opponent over that time as well as venue and extraneous factors like weather. I'll also think about recent lineups. Did someone get hurt or come back from injury? Did they make a trade or call up a prospect? In other words, like most things, I employ a combination of subjective and objective measures, trying to find the balance between recency bias and season-long numbers which may no longer reflect current performance.

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ABOUT THE AUTHOR
Todd Zola
Todd has been writing about fantasy baseball since 1997. He won NL Tout Wars and Mixed LABR in 2016 as well as a multi-time league winner in the National Fantasy Baseball Championship. Todd is now setting his sights even higher: The Rotowire Staff League. Lord Zola, as he's known in the industry, won the 2013 FSWA Fantasy Baseball Article of the Year award and was named the 2017 FSWA Fantasy Baseball Writer of the Year. Todd is a five-time FSWA awards finalist.
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