Aaron Sanchez

P Omaha Storm Chasers

Age 35 RHP 6'4" / 212 lbs AAA

Overview

AAASP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	32	AAATOR	14	14	61	7.92	6.43	14.0%	13.4%	—	K 12.1% · BB 12.0% · FIP 6.32
2026	34	AAAKC	13	12	42	9.43	6.46	19.2%	12.5%	—	K 16.5% · BB 11.3% · FIP 6.32
2027PROJ	35	MLBKC	24	24	142	5.74	5.69	16.0%	11.1%	-1.2
2028PROJ	36	MLBKC	21	21	126	5.93	6.06	14.9%	11.7%	-1.6
2029PROJ	37	MLBKC	18	18	110	6.25	6.46	13.8%	12.3%	-1.8

Next 3 projected WAR -4.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2022

xwOBA vs34

FB Velo21

Whiff%10

K%10

CompsMichael Nix (age 33) · J.D. Martin (age 35) · Jonathan Castellanos (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 117

ERA5.74

FIP5.69

K%16.0%

BB%11.1%

K-BB%4.9%

Proj IP142

Value2027 · WAR

Runs saved vs league avg · 142 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—60

STUF6065

CTRL4050

CMD4050

K†3030

Statcast Percentiles

FB Velo

p2192.4

Whiff%

p1018.3%

p1015.5%

xwOBA vs

p340.331

CH+1.3

FB-6.2

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)
2014	22	MLB MLE	Toronto Blue Jays	24	0	33	121	27	9	1	0%	1.4	22.3%	7.4%	14.9%	0.8%	1.09	2.61	+0.8
2014	22	MLB RAW	Toronto Blue Jays	24	0	33	121	27	9	1	0%	1.4	22.3%	7.4%	14.9%	0.8%	1.09	2.68	+0.7
2015	23	MIX MLE	4 levels	46	14	102	427	68	50	9	30%	2.2	16.1%	11.1%	5.0%	2.4%	3.35	4.44	+0.1
2015	23	MIX RAW	4 levels	46	14	102	427	68	50	9	30%	2.2	15.9%	11.7%	4.2%	2.1%	3.35	4.38	+0.2
2016	24	MLB MLE	Toronto Blue Jays	30	30	192	790	161	63	15	100%	6.4	20.4%	8.0%	12.4%	1.9%	3.00	3.43	+3.5
2016	24	MLB RAW	Toronto Blue Jays	30	30	192	790	161	63	15	100%	6.4	20.4%	8.0%	12.4%	1.9%	3.00	3.42	+3.5
2017	25	MIX MLE	3 levels	10	10	44	203	31	25	6	100%	4.4	14.4%	12.0%	2.4%	3.6%	4.91	5.38	-0.2
2017	25	MIX RAW	3 levels	10	10	44	203	31	25	6	100%	4.4	15.3%	12.3%	3.0%	3.0%	4.91	5.17	-0.1
2018	26	MIX MLE	4 levels	23	23	116	530	97	66	11	100%	5.0	18.1%	11.8%	6.3%	2.3%	5.04	4.34	+0.8
2018	26	MIX RAW	4 levels	23	23	116	530	97	66	11	100%	5.0	18.3%	12.5%	5.8%	2.1%	5.04	4.37	+0.7
2019	27	MLB MLE	Houston Astros	27	27	131	605	115	66	20	100%	4.9	19.0%	10.9%	8.1%	3.4%	5.89	4.74	+0.2
2019	27	MLB RAW	Houston Astros	27	27	131	605	115	66	20	100%	4.9	19.0%	10.9%	8.1%	3.3%	5.89	4.84	+0.1
2021	29	MIX MLE	3 levels	16	14	57	259	39	25	7	88%	3.6	14.8%	10.6%	4.2%	2.7%	4.74	4.69	+0.1
2021	29	MIX RAW	3 levels	16	14	57	259	39	25	7	88%	3.6	15.1%	9.7%	5.4%	2.7%	4.74	4.64	+0.2
2022	30	MIX MLE	2 levels	28	23	122	528	84	34	17	82%	4.4	14.9%	6.6%	8.3%	3.6%	5.15	4.67	+0.3
2022	30	MIX RAW	2 levels	28	23	122	528	84	34	17	82%	4.4	15.9%	6.4%	9.5%	3.2%	5.15	4.37	+0.8
2023	31	AAA MLE	Reno Aces	22	20	89	423	68	63	13	91%	4.1	13.8%	13.4%	0.4%	3.3%	5.54	5.46	—
2023	31	AAA RAW	Reno Aces	22	20	89	423	68	63	13	91%	4.1	16.1%	14.9%	1.2%	3.1%	5.54	5.59	—
2024	32	AAA MLE	Buffalo Bisons	14	14	61	292	41	39	13	100%	4.4	12.1%	12.0%	0.1%	4.9%	7.92	6.32	—
2024	32	AAA MLE	Buffalo Bisons	14	14	61	292	41	39	13	100%	4.4	12.1%	12.0%	0.1%	4.9%	7.92	6.32	—
2024	32	AAA RAW	Buffalo Bisons	14	14	61	292	41	39	13	100%	4.4	14.0%	13.4%	0.7%	4.5%	7.92	6.43	—
2026	34	AAA MLE	Omaha Storm Chasers	13	12	42	208	40	26	11	92%	3.2	16.5%	11.3%	5.3%	5.8%	9.43	6.32	—
2026	34	AAA MLE	Omaha Storm Chasers	13	12	42	208	40	26	11	92%	3.2	16.5%	11.3%	5.3%	5.8%	9.43	6.32	—
2026	34	AAA RAW	Omaha Storm Chasers	13	12	42	208	40	26	11	92%	3.2	19.2%	12.5%	6.7%	5.3%	9.43	6.46	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			174	113	685	2958	541	285	72	65%	3.9	18.3%	9.6%	8.7%	2.4%	4.16	4.14	+6.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	KC	24	24	142	600	96	67	23	100%	5.9	16.0%	11.1%	4.9%	3.9%	5.74	5.69	-1.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	KC	21	21	126	530	79	62	23	100%	6.0	14.9%	11.7%	3.2%	4.3%	5.93	6.06	-1.6
2029	37	MLB MLE	KC	18	18	110	463	64	57	22	100%	6.1	13.8%	12.3%	1.5%	4.7%	6.25	6.46	-1.8
2028	36	MLB CTX	KC	21	21	126	532	79	62	23	100%	6.0	14.9%	11.7%	3.2%	4.3%	5.93	6.06	-1.6
2029	37	MLB CTX	KC	18	18	110	464	64	57	22	100%	6.1	13.8%	12.3%	1.5%	4.7%	6.25	6.46	-1.8
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		213	152	920	3951	684	404	117	71%	4.3	17.3%	10.2%	7.1%	2.9%	4.65	4.55	+3.7
/ 200 IP	—	RAW		46	33	200	859	149	88	25	71%	4.3	17.3%	10.2%	7.1%	2.9%	4.65	4.55	+0.8
Career	—	MLE		253	187	990	4386	742	450	133	74%	3.9	16.9%	10.3%	6.7%	3.0%	4.85	4.64	+2.4
/ 200 IP	—	MLE		51	38	200	886	150	91	27	74%	3.9	16.9%	10.3%	6.7%	3.0%	4.85	4.64	+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
Aaron Sanchez (OGILVIE)	—	—	5.69	16.0%	11.1%	3.9%	—	6.25	14.4%	2.4%	235	+0.56	—	—	—
Michael Nix R 2016 · 4.60 FIP	33	SP	4.60	11.9%	11.6%	1.9%	.322	—	—	—	—	—	3.82	234	59
J.D. Martin R 2018 · 4.94 FIP	35	SP	4.94	10.4%	11.9%	2.2%	.284	5.89	13.9%	1.1%	125	+0.95	4.79	414	57
Jonathan Castellanos R 2017 · 4.91 FIP	35	SP	4.91	8.4%	9.2%	2.5%	.314	5.24	11.0%	2.0%	67	+0.33	3.40	394	57
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	57
Jose Oyervides R 2017 · 5.38 FIP	35	SP	5.38	18.0%	6.3%	5.5%	.254	5.66	16.3%	5.1%	115	+0.28	3.01	407	54
Hector Ambriz R 2019 · 6.40 FIP	35	SP	6.40	10.4%	7.5%	5.9%	.347	—	—	—	—	—	2.24	259	54
Cesar Carrillo R 2019 · 6.22 FIP	35	SP-	6.22	11.0%	9.2%	5.3%	.392	—	—	—	—	—	4.14	336	53
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	47
Masato Yoshii R 2000 · 5.32 FIP	35	SP	5.32	12.1%	6.5%	4.4%	.302	4.38	13.1%	8.0%	244	-0.94	4.15	757	44
Mitch Talbot R 2019 · 5.01 FIP	35	SP	5.01	13.2%	4.3%	4.5%	.289	—	—	—	—	—	3.82	395	44
Esmerling Vasquez R 2019 · 5.15 FIP	35	SP-	5.15	8.7%	16.8%	1.2%	.238	—	—	—	—	—	3.70	204	40
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	37
Chris Narveson L 2017 · 4.59 FIP	35	SP	4.59	12.2%	10.4%	2.2%	.264	—	—	—	—	—	4.00	625	32
Daniel Rodriguez L 2019 · 4.77 FIP	34	SP	4.77	20.8%	7.8%	4.5%	.329	—	—	—	—	—	2.89	391	32
Luis Mendoza R 2019 · 5.10 FIP	35	SP	5.10	9.7%	4.2%	4.2%	.378	—	—	—	—	—	3.17	374	32
Tomas Solis L 2017 · 5.48 FIP	34	SP	5.48	11.3%	7.9%	4.2%	.322	6.44	8.9%	1.4%	57	+0.96	4.20	327	29
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	27
Jason Lane L 2015 · 5.56 FIP	38	SP	5.56	8.4%	6.2%	4.3%	.307	—	—	—	—	—	5.56	164	27
Chris Michalak L 2006 · 5.71 FIP	35	SP-	5.71	6.2%	8.6%	3.7%	.273	—	—	—	—	—	4.71	186	25
Jorge Castillo L 2017 · 4.97 FIP	35	SP	4.97	11.2%	6.7%	3.6%	.337	4.91	19.6%	11.5%	119	-0.06	4.50	408	25

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 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	5.3	97	17.1%	10.5%	1.19	4.80
Kip Wells ('12)	6.7	112	16.1%	10.6%	1.02	4.71
Alan Benes ('03)	2.5	99	18.6%	10.2%	1.07	4.59
Cal Eldred ('05)	6.8	114	15.8%	9.7%	1.14	4.42
Harry Perkowski ('47-'55, 3 WAR*)	3.5	100	17.5%*	9.9%*	1.05*	4.55*
Spec Shea ('47-'55, 6 WAR*)	4.7	118	17.3%*	10.2%*	1.09*	4.27*
George Brunet ('56-'71, 8 WAR*)	7.2	143	19.2%*	9.4%*	1.13*	4.66*