Roll The Dice on These Unlucky Pitchers

February 20, 2019 By kopasetic Leave a Comment

Philadelphia Phillies Nick Pivetta was one of the unluckiest starting pitchers in 2018. Thanks to that, coupled with a decent K/9 and low ADP, Pivetta is a good bet as a 2019 fantasy baseball undervalued pitcher.

Last week I discussed starting pitchers that I thought were too lucky last season. They could be considered 2019 fantasy baseball overvalued pitchers, given their luck last season made them look better than they really are. We can’t expect that luck to continue this season.

Using the same process, here I highlight starting pitchers that were too unlucky last season. This helps us identify some starters later in your draft that could be in line for a better year, or 2019 fantasy baseball undervalued pitchers.

Using the same metrics in my analysis – ERA-xFIP, BABIP, LOB%, GB%, HR/FB (check the previous article for details) – I tabulated if each of 128 qualifying starting pitchers were unlucky in 2018. To determine what unlucky looks like, I came up with these guidelines based on a weighted average over the last 5 years:

ERA-xFIP higher than +0.5
BABIP higher than 0.305
LOB% lower than 71.4%
GB% lower than 42.8%
HR/FB higher than 14.1%

LUCK COULD TURN AROUND

This analysis resulted in the following potentially undervalued starting pitchers for the 2019 fantasy baseball season, given their high un-luck score and ADP. Stats are from FanGraphs. ADP info is from FantasyPros as of February 18, 2019.

Chris Archer ADP SP #34 · Overall #132

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2016	201.1	4.02	3.41	0.61	.296	72.5%	47.8%	16.2%
2017	201.0	4.07	3.35	0.72	.325	71.3%	42.0%	14.1%
2018	148.1	4.31	3.59	0.72	.338	72.5%	44.6%	14.1%

Archer came in as the 14^th unluckiest pitcher in this analysis. He has the 2^nd highest BABIP and 21^st highest ERA-xFIP. Although his 2018 GB% was higher than the league average 43.0%, his career GB% is 45.6%. This tells me that he gets batters to hit grounders more than usual.

You can make the argument that he has been unlucky for the past three seasons, not just 2018. One of these years he’s going to flip the script and give us the season we’ve all been waiting for. Could it be 2019? With a career 9.73 K/9 he will always be drafted. This might be the lowest price you’ll ever have to pay for him. As your 3^rd starter in a 12-team league or 4^th in a 10-team league. Why not take a chance on him?

Nick Pivetta ADP SP #45 · Overall #171

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2017	133.0	6.02	4.26	1.76	.332	67.1%	43.8%	18.2%
2018	164.0	4.77	3.42	1.35	.326	69.0%	46.7%	15.8%

Pivetta came in as the 6^th unluckiest pitcher. He had the 4^th highest ERA-xFIP, the 6^th highest BABIP, the 20^th highest HR/FB rate and the 24^th lowest LOB%. The only “luck” he had going for him was his unusually high GB%.

True, we have a small sample size on Pivetta and the numbers are “unlucky” across the board (again, with the exception of GB%). He’s being drafted as a #4 starter in 12-team leagues (#5 in 10-team leagues). Why not roll the dice on him and his career 9.94 K/9?

Jon Gray ADP SP #53 · Overall #188

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2016	168.0	4.61	3.61	1.00	.308	66.4%	43.5%	12.8%
2017	110.1	3.67	3.45	0.22	.336	74.8%	48.9%	11.1%
2018	172.1	5.12	3.47	1.65	.322	67.9%	47.5%	18.1%

Gray checks in as the 3^rd unluckiest pitcher last season. He had the 2^nd highest ERA-xFIP, 6^th highest HR/FB rate, 14^th highest BABIP and 15^th lowest LOB%. Like Pivetta, his GB% was very high last season.

He’s being drafted about a round later than Pivetta as a #5 starter in 12-team leagues (#6 in 10-team leagues). And like, Pivetta he has a desirable 9.53 K/9. Now, I’m not advising you draft both him and Pivetta… but, Gray could serve you well as a late round gamble. Gray has even admitted that he wasn’t healthy last season as is looking to rebound.

Dylan Bundy ADP SP #79 · Overall #290

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2016	109.2	4.02	4.61	-0.59	.299	79.7%	35.9%	13.3%
2017	169.2	4.24	4.77	-0.53	.273	73.7%	32.8%	11.5%
2018	171.2	5.45	4.28	1.17	.316	69.3%	34.0%	17.8%

Ah, we’ve come to our unluckiest pitcher in the 2018 season. Bundy struggled his way to be Top 27 unluckiest in all five metrics, and Top 8 in three (ERA-xFIP, GB% and HR/FB rate). While 2018 is arguably his worst year yet, he did post a career high 9.65 K/9. So there is that.

Bundy is not going to be a difference maker in 2019 but he’s a guy to take a late round flier in deeper leagues (15-teams or more) or keep your eyes on him early in the season. If it looks like he’s righting the ship, stream him occasionally.

* Additionally, the #2 & #4 unluckiest pitchers were Homer Bailey and Anthony DeSclafani, respectively. Bailey recently signed a minor league deal with the Kansas City Royals and is currently being drafted as SP #223. Safe to ignore him in any draft. DeSclafani is being drafted as SP #125 and therefore mostly irrelevant except in deep, deep leagues.

Proceed With Caution on These Lucky Pitchers

February 14, 2019 By kopasetic Leave a Comment

Draft Buddy’s Mike drafted L.A. Dodgers Walker Buehler in a new best ball draft. The next day Draft Buddy’s Chris tells Mike that Buehler was one of the luckiest pitchers last year and is overvalued. This picture seemed fitting.

Every year as part of my draft prep I like to take a look at starting pitchers and determine those that may have benefit from good luck. The idea is to bring to your attention to pitchers going early in drafts and warning you to pump the brakes and proceed with caution – they may be overvalued. To do this I utilize the following metrics:

ERA-xFIP (Earned Run Average minus Expected Fielding Independent Pitching)

Although not perfect, I use xFIP as the pitcher’s “true” ERA, or his ERA based on the things he can control (strikeouts and walks) and removes the things he has little to no control over (defense and BABIP). Subtracting xFIP from the pitcher’s ERA gives me an idea of whether he is lucky or unlucky. If the pitcher’s ERA is lower than his xFIP it tells me that the pitcher may be lucky and actually pitched worse than his ERA indicates.

BABIP (Batting Average on Balls in Play)

BABIP measures how many balls in play against a pitcher go for hits, excluding home runs. A pitcher with a low BABIP is seeing less balls fall for hits thus lowering his ERA and WHIP. Research has shown that a pitcher’s BABIP is more likely to perform close to league-average (around .300 typically). So, my thought is that, when a pitcher has a BABIP a good bit lower than league average I’m chalking it up to luck and expecting his BABIP to return to “normal” this upcoming season. Therefore, I am expecting more hits which leads to his ERA and WHIP rising.

LOB% (Left On Base Percentage)

A LOB% higher than the league average (72.8% in 2018) indicates that he is allowing less runners to score thus decreasing his ERA. Like BABIP, my thinking is that this should even out in the upcoming season. More base runners scoring leads to an increase in ERA.

GB% (Ground Ball Percentage)

Ground balls are a pitcher’s best friend. That is because, although statistically they tend to go for hits more often than fly balls, they don’t result in extra base hits as often. In addition, the higher a pitcher’s ground ball rate, the easier it is for their defense to turn those ground balls into outs. I like to compare the pitcher’s GB% rate to the league average and his career average to get an idea if luck played a role.

HR/FB (Home Run to Fly Ball Rate)

Pitchers generally do not have control over their HR/FB from year to year (but their home ballpark can have an effect). A low HR/FB indicates that the pitcher is serving up less homeruns than normal and thus their ERA is probably low. Like BABIP and LOB%, my thinking is that a pitcher’s HR/FB rate should be closer to league average and therefore they could be serving up more homeruns. Which we all know is not good.

Here are the MLB totals for these metrics over the last five season. These results are from starting pitchers only (no relievers).

Metric	2018	2017	2016	2015	2014
ERA	4.19	4.49	4.34	4.10	3.82
xFIP	4.16	4.41	4.24	4.00	3.78
ERA-xFIP	0.03	0.08	0.10	0.10	0.04
BABIP	0.291	0.299	0.298	0.297	0.296
LOB%	72.6%	72.1%	72.2%	72.3%	72.5%
GB%	43.0%	44.0%	44.3%	45.2%	44.6%
HR/FB	13.1%	14.2%	13.3%	11.6%	9.8%
Innings	26060.2	26787.1	27412.2	28223.1	28992.0

Here are a few things that pique my interest from this data:

Total innings pitched by starters is going down each season. The golden age of relievers is upon us.
LOB% and GB% are pretty consistent from year to year. We could have said the same about BABIP until last year.
HR/FB has been slightly higher in the past three years than 2014 and 2015. You conspiracy theorists should enjoy that.
ERA is always slightly higher than xFIP. In a perfect world they would be the same, I think. But, our world is far from perfect.

If you are still with me, for this exercise I went to FanGraphs and exported 2018 stats for starting pitchers with more than 100 IP. This returned data for 128 pitchers.

Then I tabulated if each pitcher was lucky for each metric. To determine what lucky looks like, I came up with these guidelines based on a weighted average over the last 5 years:

ERA-xFIP lower than -0.5
BABIP lower than 0.285
LOB% higher than 73.4%
GB% higher than 44.8%
HR/FB lower than 12.1%

BUYER BEWARE

This analysis resulted in the following potentially overvalued starting pitchers for the 2019 fantasy baseball season, given their high luck score and high ADP. Stats are from FanGraphs. ADP info is from FantasyPros as of February 13, 2019.

Jacob deGrom ADP SP #2 · Overall #14

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2016	148.0	3.04	3.47	-0.43	.312	80.0%	45.6%	11.5%
2017	201.1	3.53	3.23	0.30	.305	76.3%	45.3%	16.1%
2018	217.0	1.70	2.60	-0.90	.281	82.0%	46.4%	6.3%

DeGrom had the 4^th lowest HR/FB rate, 9^th highest LOB% and the 15^th lowest ERA-xFIP of the 128 starters analyzed. In fact, he ended up being the 4^th luckiest pitcher in my analysis. That is a big red flag for someone being drafted at the end of Round 1 or early Round 2.

If I’m drafting a starting pitcher that high I want to be confident that he’s going to put up an ERA below 3 and I’m just not sure that’s going to happen with deGrom. It is because of those reasons that, like Mr. Wonderful on Shark Tank… I’m out. Let someone else pay the high price for deGrom.

Aaron Nola ADP SP #6 · Overall #25

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2016	111.0	4.78	3.08	1.70	.334	60.6%	55.2%	12.8%
2017	168.0	3.54	3.38	0.16	.309	76.8%	49.8%	12.7%
2018	212.1	2.37	3.21	-0.84	.251	82.5%	50.6%	10.6%

When doing this exercise, Nola came out as the 2^nd “luckiest” starting pitcher last season (1^st was Walker Buehler, more on him later). The Philly hurler registered the 7^th highest LOB%, 9^th lowest BABIP and 10^th highest GB% of the 128 pitchers in the analysis.

Looking above at his past few seasons and the writing is on the wall that he will more than likely revert back to his pre-2018 self. Don’t get me wrong, if he does in 2019 what he did in 2017 I’ll take it. I just don’t want to use a late 2^nd/early 3^rd round pick on him.

Blake Snell ADP SP #5 · Overall #24

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2016	89.0	3.54	4.35	-0.81	.356	73.0%	36.5%	5.6%
2017	129.1	4.04	4.56	-0.52	.277	70.9%	43.9%	11.0%
2018	180.2	1.89	3.16	-1.27	.241	88.0%	44.7%	10.7%

Last year’s AL Cy Young winner is currently being drafted right around the same time as Nola in drafts. Don’t do it. While Nola was the 2^nd luckiest pitcher, Snell ended up being the 3^rd luckiest right behind him. Snell had the highest LOB% and the 4^th lowest BABIP of all 128 pitchers. He also had the 6^th lowest ERA-xFIP*.

This is a perfect example of paying for last year’s stats. You’re not going to get them. Chances are you will get stats closer to 2017 than 2018. Again, let someone else pay the high price.

Need more convincing? Let’s also take a moment to talk about the past 10 AL Cy Young award winners and how they performed the following season. On the average each winner declined the following season to the tune of 6.2 less wins, 26.0 less strikeouts, a 1.04 increase in ERA and 0.15 increase in WHIP.

* The other five are, in order of lowest ERA-xFIP, Dereck Rodriguez, Jaime Barria, Trevor Williams, Kyle Freeland and Reynaldo Lopez. I selected Snell because he has the highest ADP of the six. Safe to say you should avoid these other five just the same.

Walker Buehler ADP SP #12 · Overall #38

Season	Innings	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2017	9.1	7.71	3.92	3.79	.409	67.9%	66.7%	50.0%
2018	136.1	2.31	3.15	-0.84	.241	80.6%	50.3%	10.4%

Note: 2017 stats are as a reliever and 2018 stats are those where he started the game.

Walker “Ferris” Buehler ended up #1 in my analysis and that isn’t a good thing. He ranked in the Top 26 luckiest in all five metrics (including Top 12 in BABIP, LOB% and GB%)! Faster than you can say, “small sample size,” he’s suddenly going somewhere around the late 3^rd or early 4^th round in most drafts and there is a solid chance that teams are drafting him as their first starting pitcher.

Really, that’s what we’re doing now? Handing over the keys to your Ace slot to someone with less than 150 major league innings. I don’t care how much of a righteous dude, Buehler is. I don’t want to pay that price for an unproven commodity.

Listen, Buehler very well may be a 1961 Ferrari 250GT. I don’t want to pay that price for an unproven commodity. Remember what happens to the 1961 Ferrari 250GT at the end of the movie? That could be your fantasy team.

Bount bount… chickachicka… chickachicka…

Be Brave! Starting Pitcher Help From Clayton Richard, Kyle Gibson, Jordan Zimmermann

April 4, 2018 By kopasetic Leave a Comment

Minnesota Twins SP Kyle Gibson is under 10% owned in Yahoo and ESPN leagues, and highlights Chris’ group of unlucky pitchers who could help your fantasy team. Not for the faint of heart.

A few weeks ago I wrote a draft prep article about starting pitchers that were lucky or unlucky in 2017 based on stats like ERA-xFIP, BABIP, LOB%, GB% and HR/FB. In that article I gave you two unlucky pitchers who could bounce back and two lucky pitchers that you should handle with care in 2018 because their luck could run out this season.

If you haven’t read the article please do so now… I’ll wait.

Good stuff, right? Well, this week I want to give you a handful of hurlers that probably made you hurl at the thought of drafting them but I feel can be useful if used properly. These are guys who were unlucky last season but could turn things around and serve as competent streaming options during the season.

A quick reminder, to determine lucky vs. unlucky I came up with these guidelines. Anything in-between was considered “normal”.

Metric	Lucky	Unlucky
ERA-xFIP	< -0.5	> 0.5
BABIP	< .289	> .309
LOB%	> 73.1%	< 71.1%
GB%	> 45.0%	< 43.0%
HR/FB	< 12.2%	> 16.2%

* Stats from FanGraphs, ADP info from FantasyPros and ownership info as of Tuesday morning.

Clayton Richard, SD
6% owned in Yahoo and 9% owned in ESPN

Season	G/GS	IP	W	K/9	WHIP	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2015	23/3	42.1	4	4.68	1.28	3.83	3.43	0.40	.297	72.8%	59.3%	13.6%
2016	36/9	67.2	3	5.45	1.66	3.33	4.41	-1.08	.338	72.9%	65.1%	9.8%
2017	32/32	197.1	8	6.89	1.52	4.79	3.76	1.03	.351	70.6%	59.2%	19.4%

Okay, there is a reason “the other Clayton” was the 139th drafted starting pitcher. No one wants a low strikeout stiff with a 4.79 ERA and 1.52 WHIP. I’m not going to say that you should’ve drafted him, either. What I am going to tell you is that he’s someone to keep on your radar as a streaming option when pitching at home and against a non-threatening offense.

Last season he was just flat out awful but, his BABIP was the 4th unluckiest and his HR/FB was the 7th unluckiest of the 134 starting pitchers in 2017. When he wasn’t giving up dingers he was enticing batters into groundballs, the pitcher’s best friend.

What I like is that his 2018 GB% looks lucky (5th highest) if you don’t also look at his previous seasons. He’s a groundball pitcher in a pitcher’s park (tied for lowest park factor over last 5 years). Take those nuggets and sprinkle in the fact that his K/9 has increased each season and you have a recipe for a guy that can help you when used properly.

Opening Day against the Brewers Richard went 7 innings and only gave up 1 earned run on 6 hits, 1 walk and 4 strikeouts. Like an umbrella on a rainy day, that is something you can use.

Kyle Gibson, MIN
7% owned in Yahoo and 8% owned in ESPN

Season	G/GS	IP	W	K/9	WHIP	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2015	32/32	194.2	11	6.70	1.29	3.84	3.95	-0.11	.287	73.0%	53.4%	11.4%
2016	25/25	147.1	6	6.35	1.56	5.07	4.50	0.57	.330	70.4%	48.8%	14.5%
2017	29/29	158.0	12	6.89	1.53	5.07	4.35	0.72	.328	72.3%	50.8%	18.3%

Gibson is very much like Richard in that his BABIP and HR/FB were very unlucky while his GB% was very lucky, but also like Richard you can see that his 2017 GB% is right in line with his previous seasons. Where he differs from Richard is that his home ballpark is not a pitcher’s park (tied for 5th highest park factor over the last 5 years) so you have to be even more careful on when you use him.

On Saturday he got his first win and pitched 6 no-hit, scoreless innings with 6 strikeouts and 5 walks. He appears to be picking up right where he left off last season where he closed out his last 8 starts with a 6-0 record, 2.92 ERA, 1.14 WHIP and 46 strikeouts in 49.1 innings. I’m keeping tabs on Gibson and if he keeps putting up outings like this then he might be more than a streaming option.

Jordan Zimmermann, DET
5% owned in Yahoo and 6% owned in ESPN

Season	G/GS	IP	W	K/9	WHIP	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2015	33/33	201.2	13	7.32	1.20	3.66	3.82	-0.16	.302	74.5%	42.0%	10.9%
2016	19/18	105.1	9	5.64	1.37	4.87	4.84	0.03	.304	65.7%	43.1%	10.3%
2017	29/29	160.0	8	5.79	1.55	6.08	5.41	0.67	.330	67.2%	33.2%	12.5%

You know what the extra “n” at the end of Zimmermann stands for? Not Justin Verlander (or David Price). Verlander has been the Opening Day starter for my Detroit Tigers 9 out of the last 10 years with Price being the exception in 2015. But I’m here to talk to you about Zimmermann and how he can be useful.

In 2017 his BABIP (14th), LOB% (15th) and GB% (5th) all ranked in the Top 15 unluckiest of 134 starting pitchers. If he can avoid black cats and walking under ladders and get those metrics back to “normal” I feel we could see a stat line more like 2015 and those are numbers you can surely use, albeit sparingly.

Opening Day Zimmermann was solid with the exception of the 4th inning. He gave up 4 earned runs on 6 hits and a walk in 6 innings but did tally 8 punch outs. That is a promising debut in 2018. Just like all of the other chumps in this article, I’m going to tell you to pick your spots with Zimmermann. That extra “n” stands for Not for everyone.

Josh Tomlin, CLE
4% owned in Yahoo and 2% owned in ESPN

Season	G/GS	IP	W	K/9	WHIP	ERA	xFIP	ERA-xFIP	BABIP	LOB%	GB%	HR/FB
2015	10/10	65.2	7	7.81	0.84	3.02	3.77	-0.75	.199	90.2%	37.5%	15.3%
2016	30/29	174.0	13	6.10	1.19	4.40	4.13	0.27	.276	70.8%	43.8%	17.7%
2017	26/26	141.0	10	6.96	1.28	4.98	4.11	0.87	.329	68.5%	39.6%	13.7%

If you didn’t draft Clayton Richard you most certainly didn’t draft Tomlin (151st SP) and for good reason. His ERA & WHIP are trending the wrong way since 2015. But like Richard, you can use Tomlin here and there to your advantage.

His BABIP was 17th highest, LOB% was 26th lowest and GB% was 36th lowest of the 134 starting pitchers in 2017. Those all fall on the “very” unlucky end of the spectrum in my eyes and have me looking at him like a jelly doughnut. Good every now and then but a steady diet will kill ya. This spring his 19.2 innings were both good (18 strikeouts and only 3 walks) and bad (11 earned runs and 21 hits).

Oof. No sooner had I written this and Tomlin does his best to prove me wrong. Tuesday night he was lit up to the tune of 8 earned runs on 8 hits, 1 walk and only 1 strikeout in 3 painful innings. Four of those hits were of the “touch’em all” variety. I guess we can safely say that we shouldn’t use him on the road, against the Angels, in April and on Tuesdays.

Seriously though, let Tomlin be a lesson that we’re playing with fire with any of these guys. Their ceiling is good, not great while their floor is dear lord, what have I done? You can’t be risk averse and roll these guys out there.