Yesterday, I compared starting pitcher spring training strikeout rates to Steamer projected strikeout rates to assemble a list of pitchers with potential strikeout rate upside this season. Today, let’s do the same with walk rate.
Pitching can be the spot of our lineups where we experience the lowest degree of variance in a sport full of volatility. We’re not going to explore how to minimize variance, but how to make the best plays tailored for our lineups to fit the contests we’re playing using projections and leverage.
A lot of things factor into a pitcher scoring fantasy points via strikeouts, innings, and run prevention. A pitcher’s skill is pretty important, but what’s the best way to gauge a pitcher’s skill? The answer is mostly through the predictive analytics of their past performance, which ought to be distinguished from the descriptive analytics.
Projection
We get fantasy points for outs, Ks, and Ws (on FD, we also get the points for the QS); it’s that simple. We lose points for ER on both sites, baserunners on DK. Keep it simple. Find a predictive run prevention metric between xERA, FIP, xFIP, or SIERA. Decide between the per-nine rates or per-100 batter-faced stats like K/9 versus K%. I prefer xERA, based on the Statcast numbers, or SIERA, as they isolate that over which the pitcher has the most control. I prefer K/9 because K% can double-count for events already recognized in the run preventers, as we’re really just looking to project Ks with that metric.
We know by now that spring training stats are almost completely meaningless. So stop looking at batting averages and ERAs and using those marks to drive draft day decisions! However, there are some metrics that do matter, pitcher strikeout and walk rates, which I discovered from a study I had conducted. So it follows that pitchers who posted significantly higher strikeout rates and/or significantly lower walk rates, and vice versa, than projected should get slight bumps (or the opposite) in their season projections.
This weekend is the last big push of drafts so it’s time for one final update of my SP ranks. Lots of movement as it’s time to lock in and put together our rotations.
The blue bar represents the START of a new tier. Yes, deGrom is his own tier.
You can also get up to the minute rankings of every position on our Patreon.
UPDATE(S):
On Monday, I shared the names of eight pitchers whose Pod Projected ERA is significantly lower than Steamer. Today, let’s flip to the ERA downside names. Remember that in aggregate, Pod ERA projections are lower than Steamer, so the gap between ERA forecasts below are a lot smaller than on the upside list. Since it’s really relative projections and calculated dollar values that matter (we care how the projections compare to the player pool, not whether the pitcher is projected for a 3.00 ERA vs a 14.00 ERA), try to ignore the small degree Pod’s ERA is higher than Steamer and remember these are the largest outliers, so if put on the same ERA scale, the difference would be greater.
When grabbing pitchers and hitters towards the end game of the draft it makes complete sense to grab players who start off with an easy schedule. Based on the Main Event format where 450 players are taken overall so we will stick with pitchers who are in the 400 range. Below are some pitchers who are decent additions to start the season due to their matchups. Just make sure not to hold on for too long where they can burn you.
Alec Mills, CHC 432 ADP
Projected starts: vs PIT, @PIT, @MIL
I was crazy enough to make a bold prediction that Mills would be the SP1 for the Cubs in 2021 so how could I not mention him here? Mills is known for being deceptive and seems to possess our brand new shiny toy called seam-shifted wake. He holds a deep arsenal where he prefers to lean heavily on his sinker and four-seam fastball. His pitches provide a ton of movement especially his changeup and slider (throw them more Mills!). Overall the late price could be seen as perceived value.
This week, I finish up the Pod vs Steamer series that pits my Pod Projections against the Steamer projections. Today, we move on to pitchers, where I’ll compare the ERA forecasts from each of the systems and identify those pitchers I am projecting for significantly better ERA marks. Though Steamer is the best pitching projection system out there, it struggles on pitchers that have shown consistent BABIP and HR/FB rate suppression skills and deficiencies, as what usually works for the majority of pitchers — projecting a heavy dose of regression to the MLB mean — means it misses on those uncommon exceptions. I use Statcast’s xBABIP now for my projections, so I’m not afraid to forecast a mark that strays from the league average. However, I certainly still include some regression as we don’t always have enough batted balls in a pitcher’s history for that mark to stabilize.
Drafts are in full swing and now I am 15+ drafts into the season, here are my current ranks for the starting pitcher position for 2021. I will post updates as things change with signings, injuries, or news in Major League Baseball.
See my other ranks here: C 1B 2B SS 3B OF SP RP
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The Spring Training Injury Update Episode of the Beat the Shift Podcast – a baseball podcast for fantasy baseball players.
Batters
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During the offseason, I kept track of pitchers who saw a 2020 velocity drop or were coming back from injuries. I’ve decided to check in on them. I know some of the sources can be a little wonky (e.g. stadium guns), but it’s better than nothing. Also, the pitchers could add velocity as they continue through Spring Training even though it rarely happens. That said, any information is better than going in blind.
For the velocity readings, I used FanGraphs for the 2019 and 2020 readings and the 2021 information from my personally collected list.
Madison Bumgarner
2019: 91.4
2020: 88.4
2021: 90-91
Bumgarner seems to be caring after he blew off his pre-season throwing last year. Projections don’t like him projecting an ERA near 5.00 but if the velocity stands, he should at least be around 4.00 ERA pitcher.
