Andre Sanchez

P Inland Empire 66ers

Age 24 RHP 5'10" / 140 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	20	MIX2 levels	15	2	35	7.79	4.40	22.4%	8.1%	—	K 13.2% · BB 8.8% · FIP 5.35
2024	21	ASEA	24	19	86	6.88	4.81	16.7%	15.8%	—	K 12.4% · BB 18.6% · FIP 5.79
2025	22	ASEA	20	10	54	8.28	5.71	14.9%	16.0%	—	K 11.0% · BB 18.8% · FIP 6.26
2027PROJ	24	MLBSEA	64	0	67	6.78	6.78	10.4%	20.0%	-1.6
2028PROJ43% MLB	25	MLBSEA	28	0	29	6.36	6.24	13.2%	17.7%	-0.5
2029PROJ66% MLB	26	MLBSEA	43	0	45	6.10	6.01	14.9%	17.0%	-0.7

Next 3 projected WAR -2.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff25Control20Command20

CompsTed Stuka (age 24) · Drew Conover (age 23) · Oscar Verdugo (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 162154vR 146

ERA6.78

FIP6.78

K%10.4%

BB%20.0%

K-BB%-9.6%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 IP

Grades · Contract

Scouting Grades

STUF2525

CTRL2020

CMD2020

K†3030

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)
2022	19	ROK MLE	DSL Angels	13	2	44	191	47	23	2	15%	3.4	16.7%	15.1%	1.7%	1.8%	5.11	4.60	—
2022	19	ROK RAW	DSL Angels	13	2	44	191	47	23	2	15%	3.4	24.6%	12.0%	12.6%	1.0%	5.11	3.12	—
2023	20	MIX MLE	2 levels	15	2	35	161	36	13	6	13%	2.3	13.2%	8.8%	4.4%	4.1%	7.79	5.35	—
2023	20	MIX RAW	2 levels	15	2	35	161	36	13	6	13%	2.3	22.4%	8.1%	14.3%	3.7%	7.79	4.40	—
2024	21	A MLE	Inland Empire 66ers	24	19	86	412	69	65	7	79%	3.6	12.4%	18.6%	-6.2%	2.5%	6.88	5.79	—
2024	21	A MLE	Inland Empire 66ers	24	19	86	412	69	65	7	79%	3.6	12.4%	18.6%	-6.2%	2.5%	6.88	5.79	—
2024	21	A RAW	Inland Empire 66ers	24	19	86	412	69	65	7	79%	3.6	16.7%	15.8%	1.0%	1.7%	6.88	4.81	—
2025	22	A MLE	Inland Empire 66ers	20	10	54	282	42	45	7	50%	2.7	11.0%	18.8%	-7.8%	3.1%	8.28	6.26	—
2025	22	A MLE	Inland Empire 66ers	20	10	54	282	42	45	7	50%	2.7	11.0%	18.8%	-7.8%	3.1%	8.28	6.26	—
2025	22	A RAW	Inland Empire 66ers	20	10	54	282	42	45	7	50%	2.7	14.9%	16.0%	-1.1%	2.5%	8.28	5.71	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	SEA	64	0	67	283	29	57	8	0%	1.0	10.4%	20.0%	-9.6%	3.0%	6.78	6.78	-1.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	SEA	65	0	68	287	38	51	9	0%	1.0	13.2%	17.7%	-4.5%	3.0%	6.36	6.24	-1.2
2029	26	MLB MLE	SEA	65	0	68	287	43	49	9	0%	1.0	14.9%	17.0%	-2.1%	3.0%	6.10	6.01	-1.1
2030	27	MLB MLE	SEA	64	0	67	283	43	47	9	0%	1.0	15.3%	16.7%	-1.4%	3.0%	5.99	5.97	-1.0
2031	28	MLB MLE	SEA	62	0	65	274	42	46	9	0%	1.0	15.4%	16.7%	-1.3%	3.1%	5.98	6.01	-1.0
2028	25	MLB CTX	SEA	28	0	29	122	16	22	4	0%	1.0	13.2%	17.7%	-4.5%	3.0%	6.36	6.24	-0.5
2029	26	MLB CTX	SEA	43	0	45	190	28	32	6	0%	1.0	14.9%	17.0%	-2.1%	3.0%	6.10	6.01	-0.7
2030	27	MLB CTX	SEA	50	0	52	220	34	37	7	0%	1.0	15.3%	16.7%	-1.4%	3.0%	5.99	5.97	-0.8
2031	28	MLB CTX	SEA	52	0	55	232	36	39	7	0%	1.1	15.4%	16.7%	-1.3%	3.1%	5.98	6.01	-0.9
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		172	0	181	762	114	129	23	0%	1.0	14.9%	16.9%	-2.0%	3.0%	6.07	5.66	-2.3
/ 200 IP	—	RAW		190	0	200	844	126	143	25	0%	1.1	14.9%	16.9%	-2.0%	3.0%	6.07	5.66	-2.6
Career	—	MLE		72	33	219	1046	135	173	29	46%	3.0	12.9%	16.5%	-3.6%	2.8%	7.02	5.63	-4.5
/ 200 IP	—	MLE		66	30	200	954	123	158	27	46%	3.0	12.9%	16.5%	-3.6%	2.8%	7.02	5.63	-3.4

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 Sanchez (OGILVIE)	—	—	6.78	10.4%	20.0%	3.0%	—	6.07	14.5%	-2.7%	203	-0.71	—	—	—
Ted Stuka R 2021 · 5.72 FIP	24	SW	5.72	12.4%	23.4%	1.3%	.262	6.22	15.9%	-13.1%	41	+0.50	5.36	105	83
Drew Conover R 2024 · 6.25 FIP	23	SW	6.25	15.6%	29.8%	1.3%	.272	5.19	12.6%	-3.4%	106	-1.06	4.49	145	79
Oscar Verdugo R 2015 · 6.33 FIP	25	SP-	6.33	10.5%	13.9%	4.3%	.241	5.78	10.8%	-1.8%	74	-0.55	5.01	144	78
Orlando Gonzalez R 2024 · 6.34 FIP	21	SP-	6.34	13.8%	18.8%	3.7%	.155	4.18	18.9%	4.9%	71	-2.16	3.83	114	77
David Whitehead R 2016 · 6.00 FIP	24	SW	6.00	10.7%	19.2%	2.5%	.328	—	—	—	—	—	4.35	217	76
Pedro Garcia R 2018 · 6.06 FIP	23	SW	6.06	12.6%	24.0%	1.8%	.242	—	—	—	—	—	3.35	144	76
Jorge Sosa R 2002 · 5.77 FIP	25	SW	5.77	11.1%	12.4%	3.7%	.228	4.55	15.7%	5.5%	362	-1.22	4.06	773	75
Andrew Thurman R 2016 · 6.31 FIP	24	SP-	6.31	14.4%	16.9%	4.2%	.291	2.59	16.8%	9.6%	25	-3.72	2.59	264	75
Denis Diaz R 2017 · 6.35 FIP	22	SW	6.35	12.8%	19.4%	3.4%	.326	—	—	—	—	—	3.39	129	71
Blake Hickman R 2018 · 6.57 FIP	24	SW	6.57	12.9%	17.8%	4.2%	.312	—	—	—	—	—	4.19	156	70
Dan Hammer R 2022 · 6.09 FIP	24	SW	6.09	18.3%	22.4%	3.1%	.255	4.52	21.8%	5.0%	105	-1.57	3.81	260	68
Mitch Talbot R 2008 · 7.95 FIP	24	SW	7.95	9.3%	20.4%	5.6%	.371	4.49	12.4%	3.1%	223	-3.46	3.82	395	68
Adolfo Ramirez R 2023 · 6.12 FIP	24	SW	6.12	14.7%	16.9%	3.9%	.279	—	—	—	—	—	2.36	261	68
Elian Rodriguez R 2021 · 5.60 FIP	24	SW	5.60	18.3%	21.9%	2.3%	.301	—	—	—	—	—	5.60	109	68
Blaze Pontes R 2024 · 5.98 FIP	24	SW	5.98	8.3%	11.3%	3.9%	.328	3.78	14.2%	0.5%	101	-2.20	3.37	250	68
Kane Davis R 2000 · 7.22 FIP	25	SW	7.22	4.7%	15.3%	4.7%	.359	4.70	18.8%	8.9%	82	-2.52	3.40	125	67
Chris Fussell R 2000 · 6.64 FIP	24	SW	6.64	14.4%	13.1%	5.6%	.271	—	—	—	—	—	5.36	126	67
Mitchell Boggs R 2008 · 5.80 FIP	24	SP-	5.80	7.9%	13.4%	3.0%	.298	3.63	18.0%	8.6%	186	-2.17	3.21	330	66
Tyree Thompson R 2021 · 5.78 FIP	24	SW	5.78	15.1%	19.0%	2.8%	.246	4.56	20.0%	5.1%	119	-1.22	3.56	343	66
Carlos Polanco R 2017 · 5.71 FIP	23	SU	5.71	13.9%	20.0%	2.3%	.267	—	—	—	—	—	3.70	276	66

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	1.7	67	13.8%	17.6%	1.17	6.24
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*