Yoljeldriz Diaz

P Tampa Tarpons

Age 26 RHP 5'11" / 165 lbs A

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	21	ROKNYY	1	2	21.60	9.70	15.4%	38.5%	—	K 15.4% · BB 38.5% · FIP 6.67
2023	22	MIX2 levels	11	13	3.46	2.41	35.0%	18.3%	—	K 35.0% · BB 18.3% · FIP 2.47
2024	23	MIX2 levels	37	56	4.04	3.12	25.3%	15.3%	—	K 18.0% · BB 18.3% · FIP 4.19
2027PROJ	26	MLBNYY	37	39	4.92	4.92	22.3%	13.5%	-0.2
2028PROJ36% MLB	27	MLBNYY	13	14	4.88	4.90	22.4%	13.1%	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsJesus Pirela (age 26) · Carlos Fisher (age 26) · Ronald Peña (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 110

ERA4.92

FIP4.92

K%22.3%

BB%13.5%

K-BB%8.9%

Proj IP39

Value2027 · WAR

Runs saved vs league avg · 39 IP

Grades · Contract

Scouting Grades

K†5555

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	GCL Yankees East	9	3	25	112	18	16	1	33%	2.8	10.9%	17.9%	-6.9%	1.2%	3.91	5.13	—
2019	18	ROK RAW	GCL Yankees East	9	3	25	112	18	16	1	33%	2.8	16.1%	14.3%	1.8%	0.9%	3.91	4.09	—
2021	20	ROK MLE	FCL Yankees	8	0	9	44	13	9	0	0%	1.2	29.5%	20.5%	9.1%	0.0%	9.64	3.20	—
2021	20	ROK RAW	FCL Yankees	8	0	9	44	13	9	0	0%	1.2	29.5%	20.5%	9.1%	0.0%	9.64	3.21	—
2022	21	ROK MLE	FCL Yankees	1	0	2	13	2	5	0	0%	1.7	15.4%	38.5%	-23.1%	0.0%	21.60	6.67	—
2022	21	ROK RAW	FCL Yankees	1	0	2	13	2	5	0	0%	1.7	15.4%	38.5%	-23.1%	0.0%	21.60	9.70	—
2023	22	MIX MLE	2 levels	11	0	13	60	21	11	0	0%	1.2	35.0%	18.3%	16.7%	0.0%	3.46	2.47	—
2023	22	MIX RAW	2 levels	11	0	13	60	21	11	0	0%	1.2	35.0%	18.3%	16.7%	0.0%	3.46	2.41	—
2024	23	MIX MLE	2 levels	37	0	56	249	63	38	1	0%	1.5	18.0%	18.3%	-0.3%	0.5%	4.04	4.19	—
2024	23	MIX MLE	2 levels	37	0	56	249	63	38	1	0%	1.5	18.0%	18.3%	-0.3%	0.5%	4.04	4.19	—
2024	23	MIX RAW	2 levels	37	0	56	249	63	38	1	0%	1.5	25.3%	15.3%	10.0%	0.4%	4.04	3.12	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	NYY	37	0	39	165	37	22	5	0%	1.1	22.3%	13.5%	8.9%	3.0%	4.92	4.92	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	NYY	37	0	38	162	36	21	5	0%	1.0	22.4%	13.1%	9.3%	3.0%	4.88	4.90	-0.2
2028	27	MLB CTX	NYY	13	0	14	59	13	8	2	0%	1.1	22.4%	13.1%	9.3%	3.0%	4.88	4.90	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	59	13	8	2	0%	1.1	22.4%	13.1%	9.3%	3.0%	4.88	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	186	115	29	0%	1.1	22.4%	13.1%	9.3%	3.0%	4.88	4.52	+0.1
Career	—	MLE		66	3	105	478	93	91	3	5%	1.6	19.5%	19.0%	0.5%	0.6%	4.71	4.17	-0.2
/ 200 IP	—	MLE		126	6	200	910	177	173	5	5%	1.6	19.5%	19.0%	0.5%	0.6%	4.71	4.17	-0.8

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
Yoljeldriz Diaz (OGILVIE)	—	—	4.92	22.3%	13.5%	3.0%	—	4.90	22.4%	9.3%	38	-0.02	—	—	—
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	88
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	88
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	88
Sam Gardner R 2023 · 4.04 FIP	26	SU	4.04	23.8%	15.1%	1.9%	.298	3.23	26.7%	16.4%	76	-0.81	2.28	121	87
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	87
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	86
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	86
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	86
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	86
Esmerling Vasquez R 2010 · 4.37 FIP	26	SU	4.37	22.9%	14.6%	2.5%	.278	4.23	12.5%	1.5%	62	-0.14	3.70	204	86
Nelson L. Alvarez R 2024 · 4.12 FIP	26	SU	4.12	23.2%	13.1%	2.4%	.282	4.70	18.5%	9.4%	35	+0.58	2.58	233	85
Jeff Ames R 2017 · 3.94 FIP	26	SU	3.94	25.1%	13.4%	2.3%	.310	4.65	25.4%	10.8%	79	+0.71	3.85	272	85
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	85
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	84
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	84
Eduard Santos R 2016 · 3.86 FIP	26	SU	3.86	22.2%	14.4%	1.5%	.248	2.04	31.1%	18.7%	16	-1.82	2.04	138	83
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	83
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	83
Jose Rafael De Paula R 2017 · 4.46 FIP	26	SU	4.46	19.9%	9.8%	3.3%	.278	4.79	22.7%	10.3%	89	+0.33	2.64	315	83
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	82

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	0.4	39	22.4%	13.3%	1.16	4.90
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82