Yanzel Correa

P Fresno Grizzlies

Age 22 RHP 6'4" / 210 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	MIX2 levels	22	39	6.98	4.55	18.1%	12.8%	—	K 12.8% · BB 14.8% · FIP 4.91
2025	20	MIX2 levels	20	36	11.36	5.93	15.2%	16.2%	—	K 11.1% · BB 19.4% · FIP 6.69
2026	21	ACOL	37	54	6.71	2.76	27.8%	13.2%	—	K 20.6% · BB 15.6% · FIP 3.85
2027PROJ	22	MLBCOL	30	32	5.33	5.33	19.6%	15.7%	-0.3
2028PROJ49% MLB	23	MLBCOL	24	25	5.06	4.94	20.9%	13.6%	-0.1
2029PROJ70% MLB	24	MLBCOL	34	36	4.82	4.70	21.6%	12.2%	-0.1

Next 3 projected WAR -0.5Projected 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 98%

CompsAdam Ravenelle (age 22) · Tyler Smith (age 22) · James Acuna (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 134126vR 118

ERA5.33

FIP5.33

K%19.6%

BB%15.7%

K-BB%3.9%

Proj IP32

Value2027 · WAR

Runs saved vs league avg · 32 IP

Grades · Contract

Scouting Grades

K†4555

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)
2023	18	ROK MLE	ACL Rockies	1	0	1	3	1	1	0	0%	0.7	33.3%	33.3%	0.0%	0.0%	0.00	4.51	—
2023	18	ROK RAW	ACL Rockies	1	0	1	3	1	1	0	0%	0.7	33.3%	33.3%	0.0%	0.0%	0.00	4.60	—
2024	19	MIX MLE	2 levels	22	0	39	188	34	24	4	0%	1.8	12.8%	14.8%	-2.0%	1.9%	6.98	4.91	—
2024	19	MIX MLE	2 levels	22	0	39	188	34	24	4	0%	1.8	12.8%	14.8%	-2.0%	1.9%	6.98	4.91	—
2024	19	MIX RAW	2 levels	22	0	39	188	34	24	4	0%	1.8	18.1%	12.8%	5.3%	2.1%	6.98	4.55	—
2025	20	MIX MLE	2 levels	20	0	36	197	30	32	5	0%	1.8	11.1%	19.4%	-8.3%	3.8%	11.36	6.69	—
2025	20	MIX MLE	2 levels	20	0	36	197	30	32	5	0%	1.8	11.1%	19.4%	-8.3%	3.8%	11.36	6.69	—
2025	20	MIX RAW	2 levels	20	0	36	197	30	32	5	0%	1.8	15.2%	16.2%	-1.0%	2.5%	11.36	5.93	—
2026	21	A MLE	Fresno Grizzlies	37	0	54	273	76	36	2	0%	1.5	20.6%	15.6%	5.0%	1.0%	6.71	3.85	—
2026	21	A MLE	Fresno Grizzlies	37	0	54	273	76	36	2	0%	1.5	20.6%	15.6%	5.0%	1.0%	6.71	3.85	—
2026	21	A RAW	Fresno Grizzlies	37	0	54	273	76	36	2	0%	1.5	27.8%	13.2%	14.7%	0.7%	6.71	2.76	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	COL	30	0	32	135	26	21	4	0%	1.1	19.6%	15.7%	3.9%	2.8%	5.33	5.33	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	COL	48	0	50	212	44	29	6	0%	1.0	20.9%	13.6%	7.3%	2.7%	5.06	4.94	-0.2
2029	24	MLB MLE	COL	49	0	51	217	47	26	6	0%	1.0	21.6%	12.2%	9.4%	2.7%	4.82	4.70	-0.1
2030	25	MLB MLE	COL	50	0	52	220	48	25	6	0%	1.0	22.1%	11.2%	10.8%	2.7%	4.64	4.54	+0.0
2031	26	MLB MLE	COL	50	0	52	220	49	24	6	0%	1.0	22.3%	11.2%	11.1%	2.7%	4.56	4.51	+0.0
2028	23	MLB CTX	COL	24	0	25	106	22	14	3	0%	1.0	20.9%	13.6%	7.3%	2.7%	5.06	4.94	-0.1
2029	24	MLB CTX	COL	34	0	36	152	33	18	4	0%	1.1	21.6%	12.2%	9.4%	2.7%	4.82	4.70	-0.1
2030	25	MLB CTX	COL	40	0	42	177	39	20	5	0%	1.1	22.1%	11.2%	10.8%	2.7%	4.64	4.54	+0.0
2031	26	MLB CTX	COL	43	0	45	190	42	21	5	0%	1.0	22.3%	11.2%	11.1%	2.7%	4.56	4.51	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		141	0	148	625	136	74	17	0%	1.1	21.8%	11.8%	10.0%	2.7%	4.73	4.26	+0.5
/ 200 IP	—	RAW		190	0	200	844	184	100	23	0%	1.1	21.8%	11.8%	10.0%	2.7%	4.73	4.26	+0.7
Career	—	MLE		80	0	129	661	103	109	14	0%	1.6	15.6%	16.6%	-1.0%	2.0%	8.04	5.00	-0.3
/ 200 IP	—	MLE		124	0	200	1027	160	170	21	0%	1.6	15.6%	16.6%	-1.0%	2.0%	8.04	5.00	-0.3

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
Yanzel Correa (OGILVIE)	—	—	5.33	19.6%	15.7%	2.8%	—	4.72	21.5%	9.2%	154	-0.61	—	—	—
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	91
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	91
James Acuna R 2021 · 5.12 FIP	23	SU	5.12	21.3%	17.0%	3.0%	.302	4.33	19.4%	4.6%	60	-0.79	4.33	107	90
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	90
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	90
Michael Perez R 2024 · 5.44 FIP	21	SU	5.44	18.3%	16.1%	3.4%	.296	4.65	23.4%	7.7%	132	-0.79	4.38	153	89
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.76	29.3%	16.0%	152	-1.15	3.38	211	89
Miguel Alfonseca R 2022 · 4.78 FIP	22	SU	4.78	20.1%	16.4%	2.4%	.354	5.73	11.6%	-3.8%	56	+0.95	4.19	123	89
Stefan Raeth R 2023 · 4.62 FIP	22	SU	4.62	18.0%	15.4%	2.0%	.309	4.73	17.5%	8.3%	124	+0.11	4.51	173	89
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	89
Hudson Leach R 2024 · 5.37 FIP	22	SU	5.37	20.5%	20.0%	2.7%	.261	4.54	20.9%	3.1%	71	-0.83	2.77	101	88
Fabian Anguamea R 2016 · 5.11 FIP	22	SU	5.11	16.6%	15.2%	2.7%	.295	4.53	15.8%	1.8%	96	-0.58	3.99	164	88
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	88
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	88
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	88
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	88
Audry Lugo R 2021 · 4.82 FIP	22	SU	4.82	17.6%	15.8%	2.2%	.333	5.76	13.7%	-2.6%	39	+0.94	4.05	113	87
Ben Hecht R 2018 · 4.39 FIP	23	SU	4.39	18.3%	14.4%	1.9%	.265	4.51	22.7%	9.8%	58	+0.12	4.39	155	87
José Mesa Jr. R 2016 · 5.41 FIP	22	SU	5.41	22.4%	17.2%	3.7%	.311	4.00	22.8%	9.6%	113	-1.41	3.33	176	87
Matt Brill R 2018 · 4.90 FIP	23	SU	4.90	20.8%	16.3%	2.7%	.248	3.89	19.4%	4.9%	60	-1.01	3.73	161	87

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	1.2	48	21.4%	12.5%	1.06	4.84
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Yorkis Perez ('02)	1.4	40	20.8%	11.8%	0.93	4.44