Andre Granillo

P Toledo Mud Hens

Age 27 RHP 6'4" / 250 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	48	0	65	3.88	3.88	29.0%	14.5%	—	K 24.5% · BB 13.7% · FIP 4.22
2025	25	MIX2 levels	43	0	63	2.43	2.72	30.2%	8.3%	1.4	K 26.9% · BB 7.8% · FIP 3.06
2026	26	MIX2 levels	46	1	57	7.31	5.32	19.8%	11.0%	-0.5	K 17.2% · BB 10.2% · FIP 5.43
2027PROJ	27	MLBWSH	62	0	65	4.21	4.50	22.4%	8.2%	0.0
2028PROJ43% MLB	28	MLBWSH	26	0	27	4.42	4.57	22.4%	8.4%	-0.0
2029PROJ59% MLB	29	MLBWSH	33	0	35	4.58	4.71	21.9%	8.7%	-0.1

Last 3 seasons WAR 0.9 · Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff70Control55Command70

Career WAR0 WAR median (P10 -0 / P90 1, comp-based) · star 0% · didn't stick 93%

CompsC.C. Lee (age 27) · Neil Wagner (age 29) · Brian Sanches (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 102

ERA4.21

FIP4.50

K%22.4%

BB%8.2%

K-BB%14.2%

Proj IP65

Value2027 · WAR

Runs saved vs league avg · 65 IP

Grades · Arsenal · Contract

Scouting Grades

STUF7070

CTRL5555

CMD7070

K†5555

SI (13%)

CH (3%)

FB (38%)

SL-2.0 (60%)

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	21	A MLE	Palm Beach Cardinals	14	0	18	77	23	9	1	0%	1.3	22.1%	13.8%	8.3%	1.8%	1.50	3.98	—
2021	21	A RAW	Palm Beach Cardinals	14	0	18	77	23	9	1	0%	1.3	29.9%	11.7%	18.2%	1.3%	1.50	2.77	—
2022	22	MIX MLE	3 levels	39	0	52	230	82	28	5	0%	1.3	27.2%	14.6%	12.6%	2.9%	4.13	4.26	—
2022	22	MIX RAW	3 levels	39	0	52	230	82	28	5	0%	1.3	35.7%	12.2%	23.5%	2.2%	4.13	2.81	—
2023	23	MIX MLE	2 levels	53	0	68	296	89	37	8	0%	1.3	24.6%	12.9%	11.8%	3.0%	4.74	4.31	—
2023	23	MIX RAW	2 levels	53	0	68	296	89	37	8	0%	1.3	30.1%	12.5%	17.6%	2.7%	4.74	3.64	—
2024	24	MIX MLE	2 levels	48	0	65	276	80	40	7	0%	1.4	24.5%	13.7%	10.8%	2.7%	3.88	4.22	—
2024	24	MIX MLE	2 levels	48	0	65	276	80	40	7	0%	1.4	24.5%	13.7%	10.8%	2.7%	3.88	4.22	—
2024	24	MIX RAW	2 levels	48	0	65	276	80	40	7	0%	1.4	29.0%	14.5%	14.5%	2.5%	3.88	3.88	—
2025	25	MIX MLE	2 levels	43	0	63	252	76	21	5	0%	1.5	26.9%	7.8%	19.2%	2.3%	2.43	3.06	+1.1
2025	25	MIX MLE	2 levels	43	0	63	252	76	21	5	0%	1.5	26.9%	7.8%	19.2%	2.3%	2.43	3.06	+1.1
2025	25	MIX RAW	2 levels	43	0	63	252	76	21	5	0%	1.5	30.2%	8.3%	21.8%	2.0%	2.43	2.72	+1.4
2026	26	MIX MLE	2 levels	46	1	57	263	52	29	11	2%	1.2	17.2%	10.2%	6.9%	4.5%	7.31	5.43	-0.6
2026	26	MIX MLE	2 levels	46	1	57	263	52	29	11	2%	1.2	17.2%	10.2%	6.9%	4.5%	7.31	5.43	-0.6
2026	26	MIX RAW	2 levels	46	1	57	263	52	29	11	2%	1.2	19.8%	11.0%	8.7%	4.2%	7.31	5.32	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			22	0	30	141	21	15	5	0%	1.4	14.9%	10.6%	4.3%	3.5%	6.23	5.34	-0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	WSH	62	0	65	274	61	22	9	0%	1.0	22.4%	8.2%	14.2%	3.4%	4.21	4.50	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	WSH	60	0	63	265	59	22	9	0%	1.0	22.4%	8.4%	13.9%	3.5%	4.42	4.57	-0.0
2029	29	MLB MLE	WSH	57	0	60	253	55	22	9	0%	1.1	21.9%	8.7%	13.2%	3.6%	4.58	4.71	-0.1
2028	28	MLB CTX	WSH	26	0	27	114	25	10	4	0%	1.0	22.4%	8.4%	13.9%	3.5%	4.42	4.57	-0.0
2029	29	MLB CTX	WSH	33	0	35	148	32	13	5	0%	1.1	21.9%	8.7%	13.2%	3.6%	4.58	4.71	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		81	0	92	403	79	38	14	0%	1.1	19.6%	9.3%	10.3%	3.5%	5.08	4.57	-0.0
/ 200 IP	—	RAW		176	0	200	872	171	82	30	0%	1.1	19.6%	9.3%	10.3%	3.5%	5.08	4.57	-0.0
Career	—	MLE		243	1	323	1394	333	167	42	0%	1.3	23.9%	11.9%	12.0%	3.0%	4.29	4.25	-0.4
/ 200 IP	—	MLE		150	1	200	862	206	103	26	0%	1.3	23.9%	11.9%	12.0%	3.0%	4.29	4.25	-0.5

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Andre Granillo (OGILVIE)	—	—	4.50	22.4%	8.2%	3.4%	—	4.64	22.1%	13.6%	123	+0.14	—	—	—
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	85
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	85
Brian Sanches R 2006 · 5.30 FIP	27	SU	5.30	22.4%	10.2%	5.1%	.295	4.52	19.0%	10.1%	82	-0.78	3.39	229	84
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	83
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	82
Michael Dimock R 2017 · 4.12 FIP	27	SU	4.12	18.9%	7.8%	2.9%	.339	3.37	23.5%	12.8%	29	-0.75	3.08	166	82
Jason Motte R 2009 · 4.62 FIP	27	SU	4.62	22.1%	9.0%	4.1%	.297	2.84	26.9%	21.0%	192	-1.78	2.22	387	82
Greg Aquino R 2005 · 5.03 FIP	27	SU	5.03	21.9%	10.3%	4.5%	.357	4.34	22.5%	13.3%	62	-0.69	4.10	154	82
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	81
Brad Deppermann R 2023 · 4.25 FIP	27	SU	4.25	22.7%	9.4%	3.4%	.417	2.87	19.5%	13.2%	71	-1.38	1.94	143	81
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	81
Jason Adam R 2019 · 3.39 FIP	27	SU	3.39	24.2%	9.0%	2.2%	.237	2.64	33.1%	24.9%	88	-0.75	2.42	396	81
Jose Veras R 2008 · 3.67 FIP	27	SU	3.67	24.9%	9.1%	2.8%	.281	4.10	23.8%	11.7%	169	+0.43	3.37	422	81
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	81
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	81
Taylor Williams R 2018 · 3.52 FIP	27	SU	3.52	24.2%	8.9%	2.4%	.309	4.35	22.5%	12.7%	108	+0.83	2.51	309	81
Jack Hartman R 2024 · 4.34 FIP	26	SU	4.34	20.9%	8.8%	3.4%	.310	4.29	17.6%	5.6%	46	-0.05	3.46	161	81
José A. Váldez R 2017 · 4.39 FIP	27	SU	4.39	21.6%	8.3%	3.8%	.325	4.15	18.8%	6.4%	153	-0.24	4.02	328	80
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	80
Juan Ramon Noriega R 2017 · 4.45 FIP	26	SU	4.45	21.3%	8.3%	3.8%	.243	3.44	24.8%	17.1%	57	-1.01	3.44	198	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.1	54	21.1%	8.8%	1.35	4.65
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*