Advanced Stats - Pitching: Friday, June 30th

by Matt Trollo (MTro86) Last Updated 2017-07-01 01:39:48

Normally, some sort of positive argument can be made for more than one-third to nearly one-half of the arms on a full slate, even if the choice is then to omit some of those pitchers eventually. At first look, and this can change from Thursday night (when this introduction paragraph is being written) to Friday morning, that doesn’t look to be the case here. The good news is that this board is strong at the top and not all of it is very expensive. You may not need to go past that. We’ve got some young arms that can miss bats tonight.

As always, don’t forget to check lineups, umpire assignments, line movement, ownership projections and the weather forecast as they are released later in the day, all of which may change the equation and help you decide between two pitchers of otherwise equal value in a pinch. All of these things are available right here on the site.

Legend

Starting Pitching Main Chart

Pitcher	Team	Team Def	SIERA L2Yrs	IP/GS L2Yrs	GB% L2Yrs	Park Run	Hm/Rd xFIP	SIERA L14	Opp	Opp Hm/Rd	Opp L/R wRC+	Opp L7 wRC+
Alex Wood	LOS	2	3.56	5.64	55.9%	0.91	3.27	3.06	SDG	87	74	88
Anibal Sanchez	DET	2.6	4.4	5.44	38.7%	0.98	4.42	4.35	CLE	104	104	88
Austin Bibens-Dirkx	TEX	4.5	5.01	5.8	39.1%	0.98	5.04	4.57	CHW	96	83	62
Ben Lively	PHI	2.4	5.93	6.42	40.2%	0.91	6.36	5.04	NYM	91	104	149
Chris Tillman	BAL	-2.7	4.72	5.52	42.8%	1.02	4.83	5.2	TAM	99	115	109
Clayton Richard	SDG	-9.1	4.06	6.07	60.8%	0.91	3.73	5.18	LOS	93	109	114
Doug Fister	BOS	2.7	4.75	5.64	46.3%	1.03	4.81	4.42	TOR	92	91	81
Edinson Volquez	MIA	4.6	4.68	5.66	48.5%	1.02	4.74	6.94	MIL	96	99	115
Ervin Santana	MIN	3.9	4.45	6.27	42.4%	1.06	4.4	3.68	KAN	79	82	85
Gerrit Cole	PIT	-6.8	3.95	6.	45.8%	0.97	4.09	4.29	SFO	85	79	81
Jacob deGrom	NYM	-1.5	3.47	6.21	45.8%	0.91	3.51	3.91	PHI	73	83	78
Jacob Faria	TAM	0.5	3.3	6.3	39.4%	1.02	2.65	3.15	BAL	95	94	82
Jason Vargas	KAN	7.8	4.45	5.64	37.1%	1.06	4.38	5.55	MIN	89	88	56
Johnny Cueto	SFO	0.6	3.89	6.59	45.9%	0.97	3.48	5	PIT	91	91	68
Jon Gray	COL	1.1	3.82	5.39	44.5%	1.13	4.06		ARI	112	105	82
Josh Tomlin	CLE	-4.5	4.11	5.93	41.7%	0.98	4.14	4.13	DET	116	97	91
Lance McCullers	HOU	-1.9	3.44	5.76	54.8%	0.94	2.68	1.48	NYY	103	121	82
Marco Estrada	TOR	-2.3	4.41	5.97	32.0%	1.03	4.49	6.05	BOS	95	93	101
Matt Garza	MIL	-3.4	4.69	5.45	50.1%	1.02	4.29	4.46	MIA	96	91	50
Michael Pineda	NYY	5.8	3.43	5.61	47.5%	0.94	3.51	3.48	HOU	121	126	145
Mike Foltynewicz	ATL	-0.6	4.32	5.53	39.3%	0.93	4.09	4.31	OAK	114	104	116
Mike Leake	STL	-7.8	4.03	6.17	53.3%	0.98	3.67	4.52	WAS	102	112	138
Mike Montgomery	CHC	4.3	4.09	5.05	58.1%	1.02	4.09	3.42	CIN	106	97	98
Mike Pelfrey	CHW	-0.3	5.06	5.02	49.2%	0.98	4.9	4.92	TEX	80	95	71
Parker Bridwell	ANA	-1.5	5.04	5.73	0.382	0.91	3.81	5.9	SEA	96	108	110
Robbie Ray	ARI	-7.4	3.75	5.61	0.443	1.13	3.76	5.34	COL	81	83	18
Sam Gaviglio	SEA	7.9	4.91	5.39	0.522	0.91	4.74	6.97	ANA	102	92	69
Scott Feldman	CIN	10.3	4.41	5.63	0.473	1.02	4.29	4.06	CHC	88	87	70
Sonny Gray	OAK	-14.2	4.16	5.88	0.531	0.93	3.87	4.26	ATL	93	92	45
Tanner Roark	WAS	0	4.3	6.04	0.475	0.98	4.47	4.98	STL	100	99	97

Alex Wood is becoming someone that you don’t have to convince anyone of, you just sing his praises and jot down amazing stats. His 23.4 K-BB% would be sixth in baseball with enough innings with a 66.7 GB% that would lead baseball. Only two other pitchers have a K-BB above 20% with a GB rate above 55% (one of them pitches today). He even threw 98 pitches in his last start. Hopefully that’s a new standard for him and doesn’t mean he’ll be reigned back tonight in one of the top spots on the board in San Diego (25.2 K% vs LHP, 5.7 Hard-Soft% at home). We didn’t even get into his excellent contact management numbers via Statcast as well as a 26.8 Hard% over the last two calendar years.

Jacob deGrom has gone at least eight innings in each of his last three starts with just two earned runs total. Strikeouts are down (20.7%), but he’s had a SwStr rate above 12% in all three starts with a 54.7 GB% and 3.1 Hard-Soft%. He’s throwing his curveball and change much more often with a few less sliders and fastballs to generated weak contact, sometimes rather than strikeouts. It’s great from an innings eating perspective, but pretty much an even trade off from a daily fantasy standpoint, the risk being that it’s harder to get those points back if he runs into some early trouble. It’s good to know he probably still can rack of Ks if need be. He only potentially has the top matchup on the board hosting the Phillies tonight (23 K%, 10 HR/FB both on the road and vs RHP).

Jacob Faria has gone at least six innings in all four major league starts with a 23.3 K-BB%, which is basically Alex Wood with average contact management and more fly balls (39.4 GB%). The control improvement has been impressive, but he’s struck out batters at every stop of the minors, above 30% at AAA this season. Baltimore has a 16.2 K-BB% vs RHP.

Lance McCullers has the top ground ball rate among qualified pitchers (63%) with a 3.9 Hard-Soft% and just 27.8% 95+ mph EV and he also has a 22.4 K-BB%, seventh best among qualifiers. He’s struck out exactly eight in four straight starts, but threw just 76 pitches in his return from the DL last time out. The question, as with Wood again, is workload limitation. Also, that the Yankees are pretty good vs RHP (17.6 HR/FB), but this lineup seems to have few healthy bodies remaining.

Michael Pineda has alternated good and bad starts through his last five with the biggest issue being that even his usually dominant peripherals have fallen off in the bad three (15 IP – 17 ER – 6 HR – 5 BB – 7 K). In the two good ones, he didn’t allow a HR with three walks and 15 strikeouts (12.2 IP). The good news is that he’s due for a good one tonight? Or if you don’t buy into that, he has an 18.5 K-BB% and 52.2 GB% for the season. His Statcast numbers suggest league average contact rates. He is in the toughest spot on the board tonight in Houston.

Robbie Ray should probably have that humidor named after him as he’s likely going to be the biggest beneficiary. Still, four walks in each of his last three starts is a concern, especially when two of them came against the Phillies with just five strikeouts last time out. His hard hit rate has been above 40% in three of his last four starts. He still plays with a 30.9 K% though and an offense with a 17.4 K-BB% vs LHP and -9.5 Hard-Soft% over the last week.

Sonny Gray has shown tremendous upside when he’s shown confidence in his slider. He has a 12+ SwStr% in four straight starts now and has pushed his strikeout rate above league average this year to go along with a 54.9 GB%. His defense is the worst in baseball, which may be an issue against a poor Atlanta offense, but one that doesn’t strike out a ton (19.6% vs RHP). His 39.4% 95+ mph EV is one of the highest marks on the board.

NOT AS GOOD AS THEY LOOK (OR THE FADE LIST)

This list is reserved for pitchers who may look attractive because their ERAs are much lower than their estimators. The reason for this is almost always extreme BABIP, LOB, and/or HR/FB deviation from the norm, so we’ll just quote those stats and be done with them.

League AVG (.293 BABIP – 72.9 LOB% – 14.1 HR/FB)

Mike Montgomery (.267 – 73.2% – 6.3 through four starts) has reigned in the walks in recent starts and has a perfectly league average 12.4 K-BB% through four starts, even completing six innings in his last two. This is a fairly neutral spot with some power risk in Cincinnati, but he keeps the ball on the ground (63.3% in four starts) and isn’t a terrible choice at the price offered today. He’s one of a few pitchers that I can go either way on.

Mike Leake (.264 – 76% – 12.5) has just a 15.4 K% over the last month with no more than five in any start, but three or fewer twice. He hasn’t gone more than six innings in any of his last four and faces a difficult offense tonight.

Ervin Santana (.208 – 86.2% – 12.2) has managed contact well, but has just a 10.6 K-BB%. That’s difficult to pay $9K for even against a poor Kansas City offense unless the contact management is elite.

Jason Vargas (.284 – 85.9% – 6.6) has just a 9.5 K-BB% over his last 12 starts and 13 K% over his last six.

Mike Pelfrey (.250 – 73.8% – 10.8)

Austin Bibens-Dirkx (.194 – 81.6% – 14.0)

Parker Bridwell (.274 – 95.7% – 19.2)

Sam Gaviglio (.237 – 81.4% – 22.7)

Ben Lively (.288 – 76.7% – 8.7)

NO THANK YOU (In order from least to most offensive)

Johnny Cueto would could be a Tier Four A pitcher and may make the list on most days in a nice spot in Pittsburgh. His biggest issue has been the HR ball, which is not easy to do in San Francisco, but he’s allowed more hard contact (20.0 Hard-Soft%, 8.2% Barrels/BBE, 35.9% 95+ mph EV) than usual with fewer ground balls (40.6%) and not really being elite in any area. The Pirates have no power in a park that punishes it from the right-hand side, but they don’t strike out a lot either.

Scott Feldman has just a 6.5 SwStr% over the last month, but still nearly a league average K% for the season and has managed contact well in a tough park. His 83.8 mph aEV and 25.5% 95+ mph EV are a couple of the best marks in those categories today, which has allowed him to surrender a reasonable 11 HRs so far this year in one of the most power friendly parks in baseball. The Cubs were already a below average offense against RHP and are now down Kris Bryant.

Gerrit Cole climbs this high because he’s in a great spot at home, but with a 6.5 SwStr% over the last month and a contact prone opponent, expectations are probably a bit muted.

Jon Gray struck out 30.2% of 13.1 minor league innings (9.1 at AAA), but did not go past five innings or 23 batters in any of those starts. Some type of workload limitation is likely in a park that can only be called an upgrade from Coors for pitchers.

Clayton Richard is striking out fewer batters and faces a Dodger offense that’s been more than competent against LHP this year. He struggles against RHBs and the Dodgers love to platoon at many spots.

Matt Garza

Tanner Roark

Mike Foltynewicz has a 22.1 K% over the last month and is facing an offense with a 25.3 K% vs RHP, but it’s a good offense and his 8.0 SwStr% over the last month does not support that strikeout rate.

Josh Tomlin is a reverse platoon, HR prone pitcher, facing a predominantly RH offense with a 48.6 Hard% at home and 42.5 Hard% vs RHP.

Edinson Volquez has walked 14 of his last 70.

Marco Estrada has allowed at least one HR in nine of 10 starts and has just a league average strikeout rate over the last month. The Boston offense hasn’t been good this year, but have just an 18.6 K% vs RHP.

Doug Fister wasn’t bad in his first start, striking out six of 25 batters, but was pretty much the same low strikeout guy (15.4%) in the minors. The interesting thing is that he developed significant platoon splits the last couple of seasons and the Blue Jays run predominantly RH.

Anibal Sanchez has allowed three ERs (four total) in 11 innings over two starts with a 20 K% and 50 GB% (-6.4 Hard-Soft%). Interesting, but not yet convincing because one of those offenses was the Padres.

Chris Tillman

K/BB Chart

Pitcher and Opponent K% & BB% for titled splits, similar to the Main Chart.

Pitcher	Team	Split	K%	BB%	Split	K%	BB%	Split	K%	BB%
Alex Wood	Dodgers	L2 Years	23.1%	7.6%	Road	26.4%	7.9%	L14 Days	24.0%	4.0%
Anibal Sanchez	Tigers	L2 Years	19.9%	8.1%	Home	23.1%	7.5%	L14 Days	20.0%	6.7%
Austin Bibens-Dirkx	Rangers	L2 Years	14.4%	6.2%	Road	14.3%	5.5%	L14 Days	17.0%	4.3%
Ben Lively	Phillies	L2 Years	8.1%	5.9%	Road	6.0%	4.8%	L14 Days	11.8%	2.0%
Chris Tillman	Orioles	L2 Years	17.6%	8.9%	Home	18.9%	10.3%	L14 Days	15.5%	8.5%
Clayton Richard	Padres	L2 Years	14.6%	7.2%	Home	17.1%	7.2%	L14 Days	12.5%	10.4%
Doug Fister	Red Sox	L2 Years	15.5%	7.6%	Road	16.1%	7.8%	L14 Days	24.0%	12.0%
Edinson Volquez	Marlins	L2 Years	18.1%	9.8%	Road	15.7%	10.2%	L14 Days	16.3%	20.4%
Ervin Santana	Twins	L2 Years	19.1%	7.7%	Road	19.9%	7.6%	L14 Days	23.6%	3.6%
Gerrit Cole	Pirates	L2 Years	20.5%	5.8%	Home	18.9%	6.7%	L14 Days	20.4%	8.2%
Jacob deGrom	Mets	L2 Years	26.3%	6.8%	Home	28.8%	9.4%	L14 Days	22.0%	5.1%
Jacob Faria	Rays	L2 Years	28.2%	4.9%	Road	32.1%	3.8%	L14 Days	29.6%	3.7%
Jason Vargas	Royals	L2 Years	19.3%	5.6%	Home	19.2%	5.1%	L14 Days	9.3%	3.7%
Johnny Cueto	Giants	L2 Years	20.9%	5.6%	Road	23.8%	6.2%	L14 Days	13.0%	5.6%
Jon Gray	Rockies	L2 Years	24.6%	8.4%	Road	25.0%	11.4%	L14 Days
Josh Tomlin	Indians	L2 Years	17.8%	2.8%	Road	17.0%	2.6%	L14 Days	23.0%	6.8%
Lance McCullers	Astros	L2 Years	27.7%	9.4%	Home	31.7%	10.2%	L14 Days	42.1%	0.0%
Marco Estrada	Blue Jays	L2 Years	21.6%	8.1%	Home	24.1%	8.9%	L14 Days	19.2%	15.4%
Matt Garza	Brewers	L2 Years	15.9%	8.0%	Home	18.2%	8.8%	L14 Days	14.3%	4.1%
Michael Pineda	Yankees	L2 Years	25.3%	5.8%	Road	24.6%	6.8%	L14 Days	24.4%	4.4%
Mike Foltynewicz	Braves	L2 Years	20.1%	7.0%	Road	20.7%	5.5%	L14 Days	26.5%	10.2%
Mike Leake	Cardinals	L2 Years	16.5%	4.8%	Home	16.4%	3.6%	L14 Days	14.9%	8.5%
Mike Montgomery	Cubs	L2 Years	19.7%	10.5%	Road	19.9%	10.4%	L14 Days	20.8%	8.3%
Mike Pelfrey	White Sox	L2 Years	12.1%	7.9%	Home	14.2%	6.8%	L14 Days	20.5%	11.4%
Parker Bridwell	Angels	L2 Years	14.7%	6.9%	Home	15.2%	2.2%	L14 Days	14.6%	10.4%
Robbie Ray	Diamondbacks	L2 Years	27.4%	9.9%	Home	27.2%	9.8%	L14 Days	21.8%	14.6%
Sam Gaviglio	Mariners	L2 Years	15.1%	8.1%	Road	14.5%	5.3%	L14 Days	8.7%	15.2%
Scott Feldman	Reds	L2 Years	16.7%	6.8%	Home	17.1%	7.5%	L14 Days	20.4%	5.6%
Sonny Gray	Athletics	L2 Years	19.3%	8.1%	Home	20.5%	7.9%	L14 Days	23.1%	10.3%
Tanner Roark	Nationals	L2 Years	19.6%	8.0%	Road	17.4%	8.7%	L14 Days	16.3%	9.3%

K/BB Chart – Opponent

Opponent	Split	K%	BB%	Split	K%	BB%	Split	K%	BB%
Padres	Home	24.6%	8.7%	LH	25.2%	9.0%	L7Days	27.0%	10.7%
Indians	Road	18.3%	9.6%	RH	19.9%	9.2%	L7Days	16.4%	10.1%
White Sox	Home	22.0%	8.0%	RH	22.9%	6.4%	L7Days	26.0%	7.1%
Mets	Home	19.7%	8.9%	RH	19.1%	9.4%	L7Days	16.5%	9.2%
Rays	Road	26.0%	9.0%	RH	24.7%	9.0%	L7Days	19.6%	9.4%
Dodgers	Road	22.8%	10.7%	LH	21.1%	10.8%	L7Days	19.3%	13.5%
Blue Jays	Home	20.2%	8.1%	RH	20.6%	7.8%	L7Days	21.3%	8.6%
Brewers	Home	26.4%	8.5%	RH	24.7%	8.7%	L7Days	26.5%	8.5%
Royals	Home	19.6%	6.8%	RH	21.1%	6.4%	L7Days	18.8%	5.0%
Giants	Road	19.1%	8.4%	RH	19.5%	7.6%	L7Days	21.9%	6.8%
Phillies	Road	23.6%	7.3%	RH	23.5%	7.8%	L7Days	22.7%	9.0%
Orioles	Home	22.7%	7.2%	RH	22.9%	6.7%	L7Days	20.4%	7.4%
Twins	Road	22.2%	8.4%	LH	20.8%	9.8%	L7Days	27.4%	5.6%
Pirates	Home	18.7%	9.2%	RH	18.5%	8.5%	L7Days	16.2%	7.9%
Diamondbacks	Home	22.2%	9.1%	RH	22.4%	9.0%	L7Days	25.4%	8.5%
Tigers	Home	19.9%	8.9%	RH	22.8%	9.5%	L7Days	21.5%	7.0%
Yankees	Road	21.6%	9.5%	RH	21.9%	9.6%	L7Days	19.2%	11.1%
Red Sox	Road	19.1%	8.4%	RH	18.6%	8.8%	L7Days	18.8%	7.8%
Marlins	Road	20.6%	5.9%	RH	20.4%	6.7%	L7Days	21.2%	5.6%
Astros	Home	16.6%	7.8%	RH	17.5%	7.9%	L7Days	13.1%	8.9%
Athletics	Home	24.4%	8.8%	RH	25.3%	9.1%	L7Days	28.7%	10.2%
Nationals	Road	19.9%	8.6%	RH	19.2%	9.3%	L7Days	19.7%	11.7%
Reds	Home	21.7%	8.7%	LH	20.9%	6.7%	L7Days	19.1%	6.9%
Rangers	Road	27.8%	7.9%	RH	24.2%	8.7%	L7Days	35.2%	8.3%
Mariners	Road	20.8%	7.7%	RH	21.5%	8.3%	L7Days	25.3%	8.9%
Rockies	Road	23.6%	7.8%	LH	24.2%	6.8%	L7Days	24.3%	8.5%
Angels	Home	18.8%	7.6%	RH	20.3%	8.2%	L7Days	26.5%	5.1%
Cubs	Road	23.2%	10.0%	RH	22.6%	9.1%	L7Days	25.4%	9.4%
Braves	Road	19.7%	7.4%	RH	19.6%	7.4%	L7Days	23.2%	5.8%
Cardinals	Home	20.9%	9.7%	RH	21.0%	8.7%	L7Days	20.8%	11.8%

Batted Ball Chart

Pitcher and Opponent Batted Ball stats.

Pitcher	Team	Split	Hard%	HR/FB%	Hd-St%	Split	Hard%	HR/FB%	Hd-St%	Split	Hard%	HR/FB%	Hd-St%	Split	Hard%	HR/FB%	Hd-St%
Alex Wood	Dodgers	L2 Years	26.8%	11.7%	9.8%	2017	23.6%	6.7%	6.0%	Road	27.7%	11.4%	10.6%	L14 Days	31.4%	16.7%	11.4%
Anibal Sanchez	Tigers	L2 Years	31.6%	16.6%	13.4%	2017	38.7%	21.7%	22.7%	Home	35.2%	15.3%	17.4%	L14 Days	19.4%	9.1%	-6.4%
Austin Bibens-Dirkx	Rangers	L2 Years	35.7%	14.0%	20.9%	2017	35.7%	14.0%	20.9%	Road	31.5%	12.5%	15.1%	L14 Days	32.4%	17.6%	24.3%
Ben Lively	Phillies	L2 Years	33.9%	8.7%	13.0%	2017	33.9%	8.7%	13.0%	Road	38.4%	6.3%	24.7%	L14 Days	38.6%	17.6%	18.1%
Chris Tillman	Orioles	L2 Years	31.0%	11.9%	12.2%	2017	36.3%	17.9%	16.1%	Home	32.3%	12.4%	10.6%	L14 Days	50.0%	15.8%	40.7%
Clayton Richard	Padres	L2 Years	28.7%	14.4%	9.0%	2017	32.3%	17.7%	14.3%	Home	31.1%	7.8%	12.0%	L14 Days	46.0%	25.0%	35.2%
Doug Fister	Red Sox	L2 Years	30.6%	12.2%	11.1%	2017	18.8%	0.0%	12.5%	Road	32.7%	14.8%	15.0%	L14 Days	18.8%	0.0%	12.5%
Edinson Volquez	Marlins	L2 Years	31.7%	11.3%	12.6%	2017	34.4%	9.9%	14.1%	Road	34.1%	16.2%	13.5%	L14 Days	41.9%	0.0%	19.3%
Ervin Santana	Twins	L2 Years	28.3%	10.5%	9.7%	2017	26.6%	12.2%	5.5%	Road	28.3%	9.0%	9.1%	L14 Days	40.0%	12.5%	22.5%
Gerrit Cole	Pirates	L2 Years	31.7%	9.8%	10.5%	2017	33.6%	18.1%	11.4%	Home	31.5%	10.3%	9.4%	L14 Days	31.4%	20.0%	-5.7%
Jacob deGrom	Mets	L2 Years	30.8%	13.0%	10.5%	2017	34.9%	17.3%	13.7%	Home	30.1%	12.0%	7.7%	L14 Days	27.9%	6.7%	4.6%
Jacob Faria	Rays	L2 Years	32.8%	8.7%	8.9%	2017	32.8%	8.7%	8.9%	Road	26.5%	0.0%	3.0%	L14 Days	20.6%	13.3%	-8.8%
Jason Vargas	Royals	L2 Years	29.2%	6.5%	10.3%	2017	28.7%	6.6%	9.5%	Home	31.8%	5.8%	14.7%	L14 Days	21.3%	10.5%	2.1%
Johnny Cueto	Giants	L2 Years	29.8%	10.6%	11.4%	2017	35.5%	17.8%	20.0%	Road	31.4%	18.0%	13.1%	L14 Days	37.2%	14.3%	16.3%
Jon Gray	Rockies	L2 Years	31.2%	12.3%	12.4%	2017	21.6%	20.0%	0.0%	Road	32.2%	11.7%	15.9%	L14 Days
Josh Tomlin	Indians	L2 Years	34.6%	16.6%	19.3%	2017	37.0%	15.3%	23.1%	Road	36.3%	14.9%	18.0%	L14 Days	40.4%	28.6%	25.0%
Lance McCullers	Astros	L2 Years	27.6%	13.4%	6.8%	2017	26.3%	15.4%	3.9%	Home	21.1%	19.6%	-2.6%	L14 Days	36.4%	0.0%	18.2%
Marco Estrada	Blue Jays	L2 Years	30.7%	10.1%	10.2%	2017	30.5%	12.4%	13.2%	Home	31.1%	11.8%	12.6%	L14 Days	32.4%	10.5%	3.0%
Matt Garza	Brewers	L2 Years	34.9%	11.8%	17.8%	2017	34.5%	12.3%	20.1%	Home	39.6%	17.1%	25.8%	L14 Days	27.5%	18.2%	0.0%
Michael Pineda	Yankees	L2 Years	31.5%	19.0%	13.1%	2017	30.4%	22.4%	10.6%	Road	29.9%	16.0%	11.7%	L14 Days	31.3%	33.3%	0.0%
Mike Foltynewicz	Braves	L2 Years	30.2%	14.5%	12.7%	2017	28.9%	14.9%	14.0%	Road	28.6%	18.0%	9.2%	L14 Days	33.3%	6.7%	23.3%
Mike Leake	Cardinals	L2 Years	30.7%	12.5%	13.5%	2017	29.0%	12.5%	11.6%	Home	27.0%	16.2%	8.5%	L14 Days	38.9%	0.0%	25.0%
Mike Montgomery	Cubs	L2 Years	28.1%	15.5%	10.2%	2017	30.4%	5.9%	7.4%	Road	27.9%	11.4%	11.0%	L14 Days	24.2%	0.0%	-3.1%
Mike Pelfrey	White Sox	L2 Years	30.9%	11.0%	10.4%	2017	28.3%	10.8%	3.2%	Home	32.6%	18.4%	10.9%	L14 Days	20.0%	14.3%	-13.3%
Parker Bridwell	Angels	L2 Years	38.5%	21.9%	24.4%	2017	35.8%	19.2%	20.9%	Home	37.8%	33.3%	27.0%	L14 Days	34.3%	15.8%	17.2%
Robbie Ray	Diamondbacks	L2 Years	36.9%	12.9%	20.5%	2017	41.4%	12.2%	22.3%	Home	40.2%	15.8%	23.9%	L14 Days	41.2%	16.7%	20.6%
Sam Gaviglio	Mariners	L2 Years	34.0%	22.7%	19.1%	2017	34.0%	22.7%	19.1%	Road	26.2%	31.8%	14.7%	L14 Days	34.3%	7.7%	14.3%
Scott Feldman	Reds	L2 Years	27.1%	13.4%	6.8%	2017	30.7%	14.9%	9.2%	Home	27.7%	11.6%	3.5%	L14 Days	39.5%	16.7%	21.1%
Sonny Gray	Athletics	L2 Years	31.5%	15.8%	15.6%	2017	32.5%	16.3%	17.6%	Home	31.8%	13.4%	14.7%	L14 Days	33.3%	16.7%	15.6%
Tanner Roark	Nationals	L2 Years	26.4%	11.5%	6.2%	2017	29.5%	13.3%	15.1%	Road	24.3%	12.5%	3.6%	L14 Days	40.6%	22.2%	25.0%

Batted Ball Charts – Opponent

Opponent	Split	Hard%	HR/FB%	Hd-St%	Split	Hard%	HR/FB%	Hd-St%	Split	Hard%	HR/FB%	Hd-St%
Padres	Home	28.0%	12.9%	5.7%	LH	30.5%	12.5%	9.3%	L7Days	25.6%	13.5%	2.3%
Indians	Road	35.7%	12.1%	19.2%	RH	33.5%	12.1%	17.4%	L7Days	29.7%	1.5%	11.2%
White Sox	Home	28.6%	12.1%	7.3%	RH	31.1%	12.8%	12.3%	L7Days	25.8%	10.4%	1.2%
Mets	Home	33.6%	10.4%	14.7%	RH	35.6%	13.4%	18.3%	L7Days	36.6%	13.1%	19.7%
Rays	Road	35.0%	17.0%	15.6%	RH	37.2%	18.6%	19.9%	L7Days	39.3%	12.2%	18.4%
Dodgers	Road	33.1%	13.2%	17.0%	LH	33.9%	16.3%	17.5%	L7Days	34.5%	15.3%	13.8%
Blue Jays	Home	30.2%	14.3%	11.2%	RH	31.5%	14.8%	11.7%	L7Days	29.4%	12.0%	11.1%
Brewers	Home	36.9%	19.7%	16.4%	RH	33.4%	20.0%	14.2%	L7Days	32.7%	25.9%	15.0%
Royals	Home	31.7%	8.9%	12.2%	RH	32.7%	12.0%	13.2%	L7Days	31.3%	6.3%	7.2%
Giants	Road	30.4%	11.3%	9.5%	RH	28.2%	9.0%	6.1%	L7Days	28.6%	4.9%	7.2%
Phillies	Road	28.8%	10.7%	7.5%	RH	29.8%	10.4%	8.5%	L7Days	29.1%	14.3%	8.2%
Orioles	Home	29.4%	16.0%	8.2%	RH	30.7%	15.2%	10.0%	L7Days	38.3%	10.9%	19.8%
Twins	Road	31.6%	13.1%	14.4%	LH	31.1%	9.2%	13.0%	L7Days	29.5%	11.5%	11.4%
Pirates	Home	29.1%	9.9%	8.1%	RH	29.9%	10.8%	8.2%	L7Days	25.3%	13.0%	4.4%
Diamondbacks	Home	39.3%	16.7%	26.1%	RH	36.7%	15.8%	19.9%	L7Days	36.2%	8.1%	22.6%
Tigers	Home	48.6%	14.5%	35.1%	RH	42.5%	12.5%	27.2%	L7Days	46.1%	14.8%	25.7%
Yankees	Road	31.5%	12.8%	13.5%	RH	32.1%	17.6%	12.9%	L7Days	30.8%	10.8%	10.3%
Red Sox	Road	33.4%	12.1%	13.7%	RH	35.9%	11.0%	18.5%	L7Days	33.9%	16.7%	16.4%
Marlins	Road	29.4%	13.9%	8.8%	RH	31.1%	14.1%	11.0%	L7Days	27.3%	10.5%	1.4%
Astros	Home	30.0%	16.0%	11.9%	RH	32.9%	15.7%	15.6%	L7Days	33.3%	14.5%	11.4%
Athletics	Home	32.0%	15.9%	17.0%	RH	34.7%	15.2%	17.9%	L7Days	38.8%	24.6%	15.7%
Nationals	Road	30.6%	14.8%	11.6%	RH	31.5%	14.7%	14.1%	L7Days	32.5%	14.9%	13.7%
Reds	Home	29.8%	16.8%	8.8%	LH	29.2%	16.6%	8.7%	L7Days	34.7%	14.7%	16.8%
Rangers	Road	31.6%	16.5%	10.6%	RH	33.7%	17.2%	13.6%	L7Days	35.5%	28.6%	14.2%
Mariners	Road	32.2%	10.5%	14.3%	RH	31.2%	12.5%	13.2%	L7Days	29.3%	19.4%	11.4%
Rockies	Road	28.6%	11.5%	7.3%	LH	30.9%	14.8%	9.2%	L7Days	21.5%	2.6%	-9.5%
Angels	Home	28.5%	13.6%	10.0%	RH	30.4%	13.0%	10.8%	L7Days	27.7%	3.9%	8.3%
Cubs	Road	28.6%	12.9%	7.5%	RH	29.8%	13.3%	11.5%	L7Days	26.8%	6.7%	4.2%
Braves	Road	31.8%	12.1%	13.7%	RH	30.9%	11.6%	12.0%	L7Days	22.6%	4.9%	-6.2%
Cardinals	Home	30.6%	11.3%	10.3%	RH	31.5%	14.0%	12.4%	L7Days	32.6%	12.1%	11.9%

K/SwStr Chart (2017 LG AVG – 20.4 K% – 9.7 SwStr% – 2.1 K/SwStr)

Getting called strikeouts can be a skill, but it’s usually not a sustainable one at a large deviation from the league rate (catcher framing and other factors may make some difference here). K% correlates heavily with SwStr% though. Look for a large difference and you might find a potential adjustment before anyone else.

Pitcher	Team	K% Season	SwStr% Season	K%/SwStr%	K% L30 Days	SwStr% L30 Days	K%/SwStr%
Alex Wood	LOS	29.8%	13.0%	2.29	26.0%	15.0%	1.73
Anibal Sanchez	DET	20.5%	9.6%	2.14	20.0%	8.4%	2.38
Austin Bibens-Dirkx	TEX	14.4%	9.1%	1.58	12.0%	9.3%	1.29
Ben Lively	PHI	8.1%	6.8%	1.19	8.1%	6.8%	1.19
Chris Tillman	BAL	13.8%	7.0%	1.97	12.4%	7.2%	1.72
Clayton Richard	SDG	16.6%	8.0%	2.08	15.0%	7.1%	2.11
Doug Fister	BOS	24.0%	10.5%	2.29	24.0%	10.5%	2.29
Edinson Volquez	MIA	21.4%	9.2%	2.33	23.4%	10.2%	2.29
Ervin Santana	MIN	19.1%	8.8%	2.17	18.5%	9.7%	1.91
Gerrit Cole	PIT	19.7%	8.5%	2.32	19.1%	6.5%	2.94
Jacob deGrom	NYM	27.8%	14.5%	1.92	19.4%	12.9%	1.50
Jacob Faria	TAM	28.2%	13.0%	2.17	28.2%	13.0%	2.17
Jason Vargas	KAN	18.5%	10.5%	1.76	14.1%	8.6%	1.64
Johnny Cueto	SFO	21.8%	11.2%	1.95	18.7%	9.9%	1.89
Jon Gray	COL	17.0%	6.5%	2.62
Josh Tomlin	CLE	17.3%	7.7%	2.25	18.5%	8.2%	2.26
Lance McCullers	HOU	29.4%	12.7%	2.31	36.9%	15.6%	2.37
Marco Estrada	TOR	25.6%	12.1%	2.12	20.3%	10.8%	1.88
Matt Garza	MIL	17.3%	8.9%	1.94	14.6%	9.4%	1.55
Michael Pineda	NYY	24.0%	13.0%	1.85	17.3%	10.7%	1.62
Mike Foltynewicz	ATL	19.6%	8.4%	2.33	22.1%	8.0%	2.76
Mike Leake	STL	17.2%	8.5%	2.02	15.4%	8.6%	1.79
Mike Montgomery	CHC	19.0%	8.5%	2.24	21.8%	7.9%	2.76
Mike Pelfrey	CHW	15.0%	6.5%	2.31	18.6%	6.8%	2.74
Parker Bridwell	ANA	13.8%	9.8%	1.41	13.8%	9.8%	1.41
Robbie Ray	ARI	30.9%	13.6%	2.27	32.9%	15.3%	2.15
Sam Gaviglio	SEA	15.1%	5.7%	2.65	18.2%	6.1%	2.98
Scott Feldman	CIN	19.2%	8.0%	2.40	17.3%	6.5%	2.66
Sonny Gray	OAK	23.6%	12.0%	1.97	23.7%	12.6%	1.88
Tanner Roark	WAS	18.9%	9.3%	2.03	15.5%	9.0%	1.72

Note that everyone with more than a few starts today is in line. Don’t think we’ve seen that yet this year, but may start happening more often the second half of the year.

Alex Wood has increased his SwStr% over the last month, but is only one of three pitchers with a 15 SwStr% over that span today.

Jacob deGrom is still getting swings and misses, but seems to prefer to mix up pitches more and generate weak contact that gets him deeper into the game.

Michael Pineda had a sub-10% SwStr% in two of his poor starts over the last month, but was above 14% in his last start despite just the four strikeouts.

ERA Estimators Chart (2017 LG AVG – 4.35 ERA – 4.32 SIERA – 4.26 xFIP – 4.37 FIP)

How a pitcher’s ERA matches up against his defense independent estimators.

Pitcher	Team	Season ERA	Season SIERA	DIFF	Season xFIP	DIFF	Season FIP	DIFF	Season DRA	DIFF	ERA L30	SIERA L30	DIFF	xFIP L30	DIFF	FIP L30	DIFF
Alex Wood	LOS	1.86	2.69	0.83	2.53	0.67	2.12	0.26	2.54	0.68	2.29	2.65	0.36	2.64	0.35	2.48	0.19
Anibal Sanchez	DET	6.75	4.35	-2.4	5.09	-1.66	6.58	-0.17	7.43	0.68	2.45	4.35	1.9	4.66	2.21	4.05	1.6
Austin Bibens-Dirkx	TEX	3.68	5	1.32	5.25	1.57	5.29	1.61	6.43	2.75	3.55	5.33	1.78	5.23	1.68	5.47	1.92
Ben Lively	PHI	3.9	5.93	2.03	5.93	2.03	4.99	1.09	7.14	3.24	3.9	5.93	2.03	5.93	2.03	4.99	1.09
Chris Tillman	BAL	8.39	5.66	-2.73	5.71	-2.68	6.39	-2	8.82	0.43	11.79	6.06	-5.73	6.56	-5.23	9.18	-2.61
Clayton Richard	SDG	4.42	4.09	-0.33	3.75	-0.67	4.07	-0.35	4.73	0.31	4.65	4.26	-0.39	4.03	-0.62	4.07	-0.58
Doug Fister	BOS	4.5	4.42	-0.08	3.83	-0.67	2.64	-1.86	1.48	-3.02	4.5	4.42	-0.08	3.83	-0.67	2.64	-1.86
Edinson Volquez	MIA	4.15	5.11	0.96	4.73	0.58	4.29	0.14	3.71	-0.44	3.64	5	1.36	4.61	0.97	3.54	-0.1
Ervin Santana	MIN	2.8	4.74	1.94	4.82	2.02	4.58	1.78	3.25	0.45	5.59	4.3	-1.29	4.67	-0.92	5.59	0
Gerrit Cole	PIT	4.11	4.26	0.15	4.02	-0.09	4.57	0.46	4.04	-0.07	5.16	4.5	-0.66	3.98	-1.18	4.72	-0.44
Jacob deGrom	NYM	3.71	3.74	0.03	3.48	-0.23	3.86	0.15	2.94	-0.77	4.64	4.61	-0.03	4.37	-0.27	5.05	0.41
Jacob Faria	TAM	2.1	3.29	1.19	3.3	1.2	2.71	0.61	3.73	1.63	2.1	3.3	1.2	3.3	1.2	2.71	0.61
Jason Vargas	KAN	2.29	4.52	2.23	4.65	2.36	3.46	1.17	4.02	1.73	2.12	4.81	2.69	4.71	2.59	3.7	1.58
Johnny Cueto	SFO	4.2	4.16	-0.04	3.98	-0.22	4.51	0.31	4.33	0.13	3.82	4.64	0.82	4.51	0.69	5.55	1.73
Jon Gray	COL	4.38	4.81	0.43	4.11	-0.27	4.44	0.06	2.96	-1.42
Josh Tomlin	CLE	6.09	4.29	-1.8	4.2	-1.89	4.44	-1.65	7.17	1.08	6.75	4.46	-2.29	4.8	-1.95	5.7	-1.05
Lance McCullers	HOU	2.53	2.94	0.41	2.65	0.12	2.75	0.22	2.22	-0.31	2.76	2.04	-0.72	1.59	-1.17	0.94	-1.82
Marco Estrada	TOR	4.89	3.91	-0.98	4.22	-0.67	3.99	-0.9	6.84	1.95	10.03	4.86	-5.17	5.26	-4.77	5.84	-4.19
Matt Garza	MIL	4.43	4.61	0.18	4.39	-0.04	4.19	-0.24	4.92	0.49	5.31	4.93	-0.38	4.45	-0.86	4.32	-0.99
Michael Pineda	NYY	4.12	3.6	-0.52	3.44	-0.68	4.41	0.29	3.05	-1.07	5.86	4.31	-1.55	4.1	-1.76	5.24	-0.62
Mike Foltynewicz	ATL	4.1	4.55	0.45	4.53	0.43	4.7	0.6	6.03	1.93	3.49	4.5	1.01	4.65	1.16	4.34	0.85
Mike Leake	STL	3.12	4.05	0.93	3.77	0.65	3.65	0.53	3.91	0.79	5.16	4.18	-0.98	3.97	-1.19	4.32	-0.84
Mike Montgomery	CHC	2.5	4.43	1.93	4.25	1.75	3.64	1.14	4.38	1.88	2.59	3.68	1.09	3.69	1.1	2.97	0.38
Mike Pelfrey	CHW	3.73	5.31	1.58	5.27	1.54	4.85	1.12	4.19	0.46	2.81	5.3	2.49	5.3	2.49	4.5	1.69
Parker Bridwell	ANA	2.95	5.16	2.21	5.32	2.37	6.19	3.24	5.34	2.39	2.95	5.17	2.22	5.32	2.37	6.19	3.24
Robbie Ray	ARI	2.87	3.76	0.89	3.79	0.92	3.6	0.73	3.10	0.23	1.85	3.44	1.59	3.5	1.65	3.35	1.5
Sam Gaviglio	SEA	3.38	4.91	1.53	4.7	1.32	5.83	2.45	5.84	2.46	3.29	4.56	1.27	4.35	1.06	5.63	2.34
Scott Feldman	CIN	4.07	4.51	0.44	4.18	0.11	4.3	0.23	4.61	0.54	3.68	4.47	0.79	4.29	0.61	4.54	0.86
Sonny Gray	OAK	4.45	3.79	-0.66	3.39	-1.06	3.6	-0.85	3.22	-1.23	5.4	3.92	-1.48	3.38	-2.02	3.42	-1.98
Tanner Roark	WAS	5.15	4.54	-0.61	4.37	-0.78	4.32	-0.83	5.17	0.02	8.23	4.79	-3.44	4.67	-3.56	5.63	-2.6

Alex Wood has a 6.7 HR/FB that’s probably not sustainable.

Jacob Faria has an 86.8 LOB% and 8.7 HR/FB, so maybe not this good.

Michael Pineda now has a 22.4 HR/FB. That’s well above his career average and his career high 17.0 HR/FB last year.

Robbie Ray has an 84 LOB% and .268 BABIP with a 12.2 HR/FB. The hard contact has to show up somewhere eventually.

Sonny Gray has a .320 BABIP and 62.7 LOB%. His defense sucks, but he’s allowed quite a bit of hard contact too.

BABIP & Statcast Chart (2017 LG AVG – .293 BABIP – 44.5 GB% – 20.3 LD% – 9.2 IFFB% – 86.6 Z-Contact%)

A few years back, both Dan Rosencheck and Steve Staude separately found that high Infield Fly Ball (IFFB) rates and low Zone Contact (Z-Contact) rates correlated well with lower BABIP for pitchers. I won’t pretend to know how much of the variation in BABIP can be explained by these factors, but since they seem to have some effect, here they are. See if you can use it to your advantage.

It’s presented as the difference between team and pitcher BABIP allowed because team defense can explain a lot of the variance from league average on its own. A pitcher with a much lower BABIP than his team allows is a red flag absent further supporting evidence, while a pitcher with a much higher BABIP than his team allows may have something to offer in the future, especially with the right indicators.

Pitcher	Team	Team BABIP	Pitcher BABIP	Diff	GB%	Pitcher LD%	Pitcher IFFB%	Pitcher Zcontact	Exit Velocity	Barrels BBE	Barrels PA	BBE
Alex Wood	LOS	0.279	0.264	-0.015	66.7%	0.152	13.3%	84.1%	84.9	2.40%	1.50%	165
Anibal Sanchez	DET	0.311	0.323	0.012	36.3%	0.186	6.5%	84.4%	87	11.30%	7.90%	106
Austin Bibens-Dirkx	TEX	0.291	0.194	-0.097	39.1%	0.174	10.0%	86.5%	87	8.70%	6.80%	115
Ben Lively	PHI	0.305	0.288	-0.017	40.2%	0.188	15.2%	91.7%	85.3	3.50%	2.90%	115
Chris Tillman	BAL	0.313	0.392	0.079	40.1%	0.263	17.9%	91.2%	89.6	6.50%	4.90%	168
Clayton Richard	SDG	0.297	0.341	0.044	58.5%	0.217	4.8%	89.6%	84.9	4.30%	3.30%	322
Doug Fister	BOS	0.313	0.438	0.125	50.0%	0.25	0.0%	86.4%
Edinson Volquez	MIA	0.290	0.282	-0.008	46.1%	0.215	8.5%	86.8%	85.7	5.30%	3.40%	227
Ervin Santana	MIN	0.290	0.208	-0.082	43.8%	0.151	12.2%	89.7%	85.5	4.30%	3.10%	304
Gerrit Cole	PIT	0.305	0.281	-0.024	46.7%	0.204	7.4%	87.5%	85.8	8.40%	6.20%	298
Jacob deGrom	NYM	0.316	0.299	-0.017	46.6%	0.211	12.3%	77.9%	86.7	5.90%	3.70%	255
Jacob Faria	TAM	0.294	0.277	-0.017	39.4%	0.258	21.7%	85.3%	86.6	7.50%	4.90%	67
Jason Vargas	KAN	0.301	0.284	-0.017	37.2%	0.199	10.7%	83.1%	86.6	3.50%	2.60%	286
Johnny Cueto	SFO	0.319	0.294	-0.025	40.6%	0.255	9.9%	85.6%	87.6	8.20%	5.90%	304
Jon Gray	COL	0.297	0.278	-0.019	63.9%	0.222	0.0%	91.4%	82	0.00%	0.00%	37
Josh Tomlin	CLE	0.303	0.353	0.05	40.2%	0.243	4.1%	91.7%	88.3	7.10%	5.70%	281
Lance McCullers	HOU	0.291	0.281	-0.01	63.0%	0.175	2.6%	88.9%	85.5	4.40%	2.70%	205
Marco Estrada	TOR	0.299	0.333	0.034	33.5%	0.205	10.7%	80.2%	87.9	8.60%	5.80%	266
Matt Garza	MIL	0.297	0.290	-0.007	44.7%	0.207	13.8%	88.6%	85.5	5.20%	3.90%	194
Michael Pineda	NYY	0.286	0.292	0.006	52.2%	0.178	6.6%	86.7%	86.5	5.80%	4.10%	257
Mike Foltynewicz	ATL	0.287	0.309	0.022	39.4%	0.245	6.9%	86.5%	87.1	6.80%	4.90%	249
Mike Leake	STL	0.292	0.264	-0.028	55.0%	0.21	2.8%	89.8%	86.9	4.90%	3.80%	304
Mike Montgomery	CHC	0.285	0.258	-0.027	60.8%	0.177	0.0%	89.1%	84.7	3.10%	2.10%	161
Mike Pelfrey	CHW	0.282	0.250	-0.032	47.9%	0.179	9.2%	89.5%	86.7	5.80%	4.20%	191
Parker Bridwell	ANA	0.284	0.274	-0.01	40.9%	0.197	11.5%	87.9%	89.7	9.00%	6.90%	67
Robbie Ray	ARI	0.289	0.268	-0.021	38.3%	0.196	12.2%	80.4%	88.4	6.40%	3.60%	220
Sam Gaviglio	SEA	0.283	0.237	-0.046	52.2%	0.159	9.1%	92.6%	86.9	7.10%	5.40%	141
Scott Feldman	CIN	0.291	0.304	0.013	44.6%	0.269	10.8%	87.1%	83.8	5.90%	4.20%	271
Sonny Gray	OAK	0.298	0.320	0.022	54.9%	0.217	2.3%	86.0%	86.9	5.90%	4.00%	188
Tanner Roark	WAS	0.296	0.321	0.025	46.3%	0.221	6.7%	86.1%	86.9	5.80%	4.20%	292

Pitcher Notes & Summary

Here we rank pitchers by value tiers with their overall rank in parenthesis next to the name for the top five to ten. These are not hard and rigid rankings. Everything is fluid and can change depending on ever evolving situations throughout the day. This is the more opinionated part. If there are questions, it’ll help show you where my imaginary boundaries are drawn.

Value Tier One

Lance McCullers (1t) is an elite bat misser and contact generator for less than $10K tonight. A potential workload limitation is a bit of a concern here, throwing just 76 pitches after missing a couple of weeks, but 90 here should get the job done. The matchup is a bit deceptive as the Yankees have very few healthy fearsome bats in the lineup at this point.

Jacob Faria (4) costs $2K to more than $3K less than Wood if you prefer to take your chances with contact management and a similar K-BB%. He’s not in as strong a spot, but not really a bad one either in Baltimore.

Value Tier Two

Alex Wood (1t) has reached the $10K price point. Actually, he’s blown past it on DraftKings. Part of that’s the matchup, but there’s still some concerns about the workload until we see him throw 95+ pitches back-to-back.

Value Tier Three

Michael Pineda costs not much above $8K in a pretty terrible spot. The overall peripherals are still pretty strong, though they nor the run prevention have been very consistent recently. It’s hard to say which guy shows up tonight, but one could be a low owned great value.

Jacob deGrom (3) may have the top matchup on the board and I almost expect the complete game bonus on DraftKings tonight, but he’s the most expensive pitcher on either site, far ahead of Wood on FanDuel.

Value Tier Four – These guys seem basically in line with their price tag. They are either barely usable and shouldn’t hurt you too much, but might not help you much either or have such a wide range of outcomes that you can’t see much benefit beyond the risk.

Robbie Ray has struggled in recent starts, but the Rockies have been even worse.

Sonny Gray should be in a great spot in a great park and his new found ability to miss bats should help him out here, but he’s got to be smart enough to know he needs it now with that defense behind him. Contact is where he could get in trouble in this game, though Atlanta doesn’t make a lot of it very hard.

You can find me on twitter @FreelanceBBall for any questions, comments, or insults.

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