Gleiner Diaz

P Inland Empire 66ers

Age 23 RHP 6'0" / 170 lbs A peak 0.3 · 2028

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	MIX2 levels	21	28	4.13	3.66	21.3%	11.8%	—	K 14.5% · BB 10.4% · FIP 4.02
2025	21	MIX2 levels	29	39	7.15	3.20	23.3%	6.7%	—	K 16.4% · BB 8.2% · FIP 4.68
2026	22	ASEA	36	55	4.28	2.28	30.8%	4.4%	—	K 22.8% · BB 5.2% · FIP 3.40
2027PROJ	23	MLBSEA	31	33	4.10	4.10	21.8%	6.6%	0.2
2028PROJ43% MLB	24	MLBSEA	21	22	4.07	4.03	22.6%	6.7%	0.1
2029PROJ66% MLB	25	MLBSEA	32	34	4.04	4.00	23.0%	6.7%	0.2

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 96%

CompsDevon Roedahl (age 22) · John Fasola (age 23) · Breckin Williams (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111103vR 95

ERA4.10

FIP4.10

K%21.8%

BB%6.6%

K-BB%15.2%

Proj IP33

Value2027 · WAR

Runs saved vs league avg · 33 IP

Grades · Contract

Scouting Grades

K†5055

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)
2021	17	ROK MLE	DSL Mariners	17	0	23	98	27	19	0	0%	1.4	18.7%	24.2%	-5.5%	0.0%	2.74	4.59	—
2021	17	ROK RAW	DSL Mariners	17	0	23	98	27	19	0	0%	1.4	27.6%	19.4%	8.2%	0.0%	2.74	3.23	—
2023	19	ROK MLE	DSL Mariners	11	9	45	187	47	21	0	82%	4.1	17.1%	14.0%	3.1%	0.0%	2.40	3.43	—
2023	19	ROK RAW	DSL Mariners	11	9	45	187	47	21	0	82%	4.1	25.1%	11.2%	13.9%	0.0%	2.40	2.41	—
2024	20	MIX MLE	2 levels	21	0	28	136	29	16	2	0%	1.3	14.5%	10.4%	4.1%	1.5%	4.13	4.02	—
2024	20	MIX MLE	2 levels	21	0	28	136	29	16	2	0%	1.3	14.5%	10.4%	4.1%	1.5%	4.13	4.02	—
2024	20	MIX RAW	2 levels	21	0	28	136	29	16	2	0%	1.3	21.3%	11.8%	9.6%	1.5%	4.13	3.66	—
2025	21	MIX MLE	2 levels	29	0	39	180	42	12	4	0%	1.3	16.4%	8.2%	8.3%	3.5%	7.15	4.68	—
2025	21	MIX MLE	2 levels	29	0	39	180	42	12	4	0%	1.3	16.4%	8.2%	8.3%	3.5%	7.15	4.68	—
2025	21	MIX RAW	2 levels	29	0	39	180	42	12	4	0%	1.3	23.3%	6.7%	16.7%	2.2%	7.15	3.20	—
2026	22	A MLE	Inland Empire 66ers	36	0	55	227	70	10	5	0%	1.5	22.8%	5.2%	17.6%	2.9%	4.28	3.40	—
2026	22	A MLE	Inland Empire 66ers	36	0	55	227	70	10	5	0%	1.5	22.8%	5.2%	17.6%	2.9%	4.28	3.40	—
2026	22	A RAW	Inland Empire 66ers	36	0	55	227	70	10	5	0%	1.5	30.8%	4.4%	26.4%	2.2%	4.28	2.28	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	SEA	31	0	33	139	30	9	4	0%	1.1	21.8%	6.6%	15.2%	3.0%	4.10	4.10	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	SEA	48	0	50	213	48	14	6	0%	1.1	22.6%	6.7%	15.9%	2.9%	4.07	4.03	+0.3
2029	25	MLB MLE	SEA	49	0	51	215	50	15	6	0%	1.0	23.0%	6.7%	16.2%	2.9%	4.04	4.00	+0.3
2030	26	MLB MLE	SEA	49	0	51	215	50	15	6	0%	1.0	23.2%	6.8%	16.4%	2.9%	4.02	3.99	+0.3
2031	27	MLB MLE	SEA	48	0	50	212	49	15	6	0%	1.0	23.2%	7.0%	16.2%	3.0%	4.03	4.04	+0.3
2028	24	MLB CTX	SEA	21	0	22	93	21	6	3	0%	1.0	22.6%	6.7%	15.9%	2.9%	4.07	4.03	+0.1
2029	25	MLB CTX	SEA	32	0	34	144	33	10	4	0%	1.1	23.0%	6.7%	16.2%	2.9%	4.04	4.00	+0.2
2030	26	MLB CTX	SEA	38	0	40	169	39	12	5	0%	1.1	23.2%	6.8%	16.4%	2.9%	4.02	3.99	+0.3
2031	27	MLB CTX	SEA	41	0	43	182	42	13	5	0%	1.0	23.2%	7.0%	16.2%	3.0%	4.03	4.04	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		132	0	139	585	135	40	17	0%	1.0	23.1%	6.8%	16.2%	2.9%	4.04	3.63	+1.5
/ 200 IP	—	RAW		190	0	200	844	195	58	25	0%	1.1	23.1%	6.8%	16.2%	2.9%	4.04	3.63	+2.2
Career	—	MLE		114	9	190	828	151	91	15	8%	1.7	18.3%	11.0%	7.3%	1.8%	4.22	3.93	+1.3
/ 200 IP	—	MLE		120	9	200	872	159	95	16	8%	1.7	18.3%	11.0%	7.3%	1.8%	4.22	3.93	+1.3

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
Gleiner Diaz (OGILVIE)	—	—	4.10	21.8%	6.6%	3.0%	—	4.01	22.9%	16.2%	152	-0.09	—	—	—
Devon Roedahl R 2019 · 3.94 FIP	22	SU	3.94	19.7%	6.7%	3.0%	.305	4.64	16.5%	9.2%	100	+0.70	3.94	122	90
John Fasola R 2015 · 3.81 FIP	23	SU	3.81	21.5%	5.7%	3.3%	.294	2.96	19.8%	11.6%	58	-0.85	2.72	124	89
Breckin Williams R 2018 · 3.65 FIP	24	SU	3.65	22.6%	7.3%	2.8%	.282	2.78	23.4%	15.8%	48	-0.87	2.76	107	89
Ocean Gabonia R 2024 · 3.71 FIP	23	SU	3.71	19.7%	6.8%	2.6%	.316	2.79	18.4%	8.6%	41	-0.92	2.79	144	88
Reilly Hovis R 2017 · 4.28 FIP	23	SU	4.28	21.1%	7.7%	3.6%	.250	4.36	19.8%	6.4%	50	+0.08	4.28	130	88
Kevin Coulter R 2019 · 3.27 FIP	22	SU	3.27	21.0%	7.4%	1.8%	.287	4.51	16.1%	7.6%	92	+1.24	3.27	128	87
Fineas Del Bonta-Smith R 2021 · 3.52 FIP	24	SU	3.52	23.4%	8.2%	2.5%	.262	6.05	20.5%	11.4%	128	+2.53	3.52	207	87
Shay Schanaman R 2024 · 4.34 FIP	24	SU	4.34	21.0%	7.6%	3.7%	.292	6.05	16.4%	2.8%	90	+1.71	4.34	148	87
Carlos Navas R 2016 · 3.67 FIP	23	SU	3.67	22.0%	8.4%	2.5%	.283	3.52	22.0%	16.1%	229	-0.15	2.98	385	87
Josh Advocate R 2018 · 3.78 FIP	24	SU	3.78	18.8%	7.3%	2.4%	.291	3.71	20.4%	10.1%	75	-0.07	3.71	118	87
Parker Curry R 2017 · 3.73 FIP	23	SU	3.73	22.5%	8.2%	2.7%	.341	4.62	18.6%	11.6%	193	+0.89	3.73	256	86
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	86
Nick Rumbelow R 2015 · 3.28 FIP	23	SU	3.28	22.6%	6.1%	2.4%	.295	3.54	24.8%	16.4%	64	+0.26	2.03	164	86
Jake Bray R 2016 · 3.28 FIP	23	SU	3.28	21.1%	7.7%	1.8%	.245	4.56	21.4%	10.8%	158	+1.28	2.51	198	85
Dusty Isaacs R 2015 · 3.45 FIP	23	SU	3.45	21.0%	6.2%	2.5%	.375	4.19	21.2%	11.1%	177	+0.74	3.16	253	85
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	85
Antonio Menendez R 2022 · 2.92 FIP	23	SU	2.92	24.7%	8.1%	1.6%	.314	3.69	19.8%	6.4%	166	+0.77	2.92	250	85
Marquis Grissom Jr. R 2024 · 3.46 FIP	23	SU	3.46	20.4%	6.8%	2.2%	.271	5.92	17.7%	6.1%	49	+2.46	3.26	144	85
Chris Ray R 2005 · 3.68 FIP	23	SU	3.68	24.7%	8.6%	2.9%	.261	4.32	21.3%	12.1%	109	+0.64	3.48	281	85
Fred Villarreal R 2021 · 3.93 FIP	23	SU	3.93	17.6%	6.8%	2.6%	.331	3.64	14.1%	3.5%	63	-0.29	3.64	114	84

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	47	22.8%	6.8%	1.14	4.05
Junichi Tazawa ('18)	2.0	49	22.2%	6.5%	1.12	4.12
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Charlie Furbush ('15)	1.3	52	24.5%	8.1%	1.04	3.97
Tim Crews ('87-'92, 3 WAR*)	2.1	71	20.8%*	6.2%*	1.09*	4.11*
Barney Schultz ('55-'65, 2 WAR*)	1.7	58	24.6%*	8.3%*	1.28*	3.93*
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*