Yosber Sanchez

P Erie SeaWolves

Age 26 RHP 6'1" / 170 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	40	61	1.92	2.21	31.5%	10.8%	—	K 23.9% · BB 12.5% · FIP 3.21
2025	24	MIX2 levels	31	41	5.09	3.79	21.4%	12.3%	—	K 17.4% · BB 12.8% · FIP 4.34
2026	25	AADET	36	47	5.89	4.43	22.0%	12.4%	—	K 17.8% · BB 13.6% · FIP 5.13
2027PROJ	26	MLBDET	26	27	5.11	5.11	18.9%	12.8%	-0.2
2028PROJ38% MLB	27	MLBDET	15	16	5.06	5.07	19.4%	12.5%	-0.1

Next 2 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsCasey Fien (age 25) · Francisco Rodriguez (age 27) · Justin Courtney (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.11

FIP5.11

K%18.9%

BB%12.8%

K-BB%6.1%

Proj IP27

Value2027 · WAR

Runs saved vs league avg · 27 IP

Grades · Contract

Scouting Grades

K†4545

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)
2019	18	ROK MLE	DSL Rangers 2	7	4	18	84	18	10	2	57%	2.5	14.6%	14.9%	-0.3%	3.3%	4.58	5.58	—
2019	18	ROK RAW	DSL Rangers 2	7	4	18	84	18	10	2	57%	2.5	21.4%	11.9%	9.5%	2.4%	4.58	4.23	—
2021	20	ROK MLE	DSL Rangers 2	12	0	13	64	19	13	0	0%	1.1	20.2%	25.4%	-5.2%	0.0%	2.08	4.61	—
2021	20	ROK RAW	DSL Rangers 2	12	0	13	64	19	13	0	0%	1.1	29.7%	20.3%	9.4%	0.0%	2.08	3.18	—
2023	22	MIX MLE	2 levels	25	0	30	132	48	19	0	0%	1.2	25.7%	18.0%	7.7%	0.0%	3.64	3.21	—
2023	22	MIX RAW	2 levels	25	0	30	132	48	19	0	0%	1.2	36.4%	14.4%	22.0%	0.0%	3.64	1.79	—
2024	23	MIX MLE	2 levels	40	0	61	260	82	28	2	0%	1.5	23.9%	12.5%	11.4%	1.0%	1.92	3.21	—
2024	23	MIX MLE	2 levels	40	0	61	260	82	28	2	0%	1.5	23.9%	12.5%	11.4%	1.0%	1.92	3.21	—
2024	23	MIX RAW	2 levels	40	0	61	260	82	28	2	0%	1.5	31.5%	10.8%	20.8%	0.8%	1.92	2.21	—
2025	24	MIX MLE	2 levels	31	0	41	187	40	23	3	0%	1.3	17.4%	12.8%	4.6%	2.0%	5.09	4.34	—
2025	24	MIX MLE	2 levels	31	0	41	187	40	23	3	0%	1.3	17.4%	12.8%	4.6%	2.0%	5.09	4.34	—
2025	24	MIX RAW	2 levels	31	0	41	187	40	23	3	0%	1.3	21.4%	12.3%	9.1%	1.6%	5.09	3.79	—
2026	25	AA MLE	Erie SeaWolves	36	0	47	218	48	27	6	0%	1.3	17.8%	13.6%	4.2%	3.3%	5.89	5.13	—
2026	25	AA MLE	Erie SeaWolves	36	0	47	218	48	27	6	0%	1.3	17.8%	13.6%	4.2%	3.3%	5.89	5.13	—
2026	25	AA RAW	Erie SeaWolves	36	0	47	218	48	27	6	0%	1.3	22.0%	12.4%	9.6%	2.8%	5.89	4.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	DET	26	0	27	114	22	15	3	0%	1.0	18.9%	12.8%	6.1%	2.9%	5.11	5.11	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	DET	40	0	42	177	34	22	5	0%	1.1	19.4%	12.5%	6.8%	3.0%	5.06	5.07	-0.2
2028	27	MLB CTX	DET	15	0	16	68	13	8	2	0%	1.1	19.4%	12.5%	6.8%	3.0%	5.06	5.07	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		15	0	16	67	13	8	2	0%	1.1	19.4%	12.5%	6.8%	3.0%	5.06	4.69	-0.0
/ 200 IP	—	RAW		190	0	200	844	165	101	25	0%	1.1	19.4%	12.5%	6.8%	3.0%	5.06	4.69	-0.3
Career	—	MLE		151	4	209	945	193	139	16	3%	1.4	20.4%	14.7%	5.7%	1.7%	3.91	4.18	-0.3
/ 200 IP	—	MLE		144	4	200	903	184	132	16	3%	1.4	20.4%	14.7%	5.7%	1.7%	3.91	4.18	-1.2

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
Yosber Sanchez (OGILVIE)	—	—	5.11	18.9%	12.8%	2.9%	—	5.07	19.4%	6.8%	42	-0.04	—	—	—
Casey Fien R 2009 · 5.17 FIP	25	SU	5.17	17.0%	11.3%	3.8%	.306	2.79	22.7%	19.2%	35	-2.38	2.79	308	88
Francisco Rodriguez R 2010 · 4.33 FIP	27	SU	4.33	17.2%	11.0%	2.4%	.283	5.00	11.9%	3.4%	14	+0.67	3.16	334	88
Justin Courtney R 2022 · 5.11 FIP	26	SU	5.11	16.8%	12.8%	3.3%	.331	8.63	18.4%	7.1%	21	+3.52	4.58	108	88
Derek Eitel R 2015 · 4.35 FIP	27	SU	4.35	18.1%	13.9%	1.8%	.338	4.26	19.7%	5.0%	113	-0.09	3.96	138	88
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	87
Scott Proctor R 2004 · 5.43 FIP	27	SU	5.43	17.8%	11.9%	4.2%	.308	4.36	18.8%	11.0%	233	-1.07	3.68	337	87
David Holman R 2017 · 5.53 FIP	27	SU	5.53	15.6%	12.7%	3.9%	.324	5.45	9.6%	0.5%	107	-0.08	5.28	129	87
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	86
Jake Johansen R 2017 · 4.65 FIP	26	SU	4.65	15.9%	12.1%	2.5%	.273	3.65	12.8%	4.9%	48	-1.00	3.65	162	85
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	84
Keagan Gillies R 2024 · 4.02 FIP	26	SU	4.02	21.1%	13.3%	1.9%	.306	3.91	20.0%	14.4%	74	-0.11	2.93	177	84
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	84
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	84
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	84
Brad Schreiber R 2017 · 4.23 FIP	26	SU	4.23	17.3%	12.7%	1.8%	.312	—	—	—	—	—	3.81	171	84
Morgan McSweeney R 2023 · 5.13 FIP	25	SU	5.13	19.1%	12.6%	3.7%	.256	3.56	16.9%	9.7%	85	-1.57	3.20	213	84
Guido Knudson R 2016 · 4.69 FIP	26	SU	4.69	17.5%	10.8%	3.1%	.235	—	—	—	—	—	3.50	106	83
Roman Phansalkar R 2024 · 5.39 FIP	26	SU	5.39	15.8%	13.2%	3.6%	.294	4.33	18.2%	3.7%	31	-1.06	4.33	164	83
Grant Sides R 2015 · 3.96 FIP	26	SU	3.96	17.2%	13.2%	1.2%	.266	3.83	22.4%	10.5%	62	-0.13	3.31	159	83
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	83

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	0.3	35	19.2%	12.6%	1.15	5.08
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68